در این قسمت با توجه به سال انتشار مقاله، تعداد محدودی از مقالات شبیه سازی شده و آماده مهندسی برق گرایش قدرت با نرم افزار قدرتمند متلب که در سال 2014 انتشار یافته اند، آورده شده است. جهت مشاهده مقالات آماده برق قدرت چاپ شده در سایر سال ها، به منو “شبیه سازی آماده متلب” در بالا و سپس “سال انتشار” مورد نظر مراجه نمایید. برای شبیه سازی های آماده بیشتر یا شبیه سازی مقالات و پروژه هایتان از طرق زیر اقدام نمایید.
توجه: قبل از خرید، خروجی و گزارش کار برای اطمینان شما فرستاده خواهد شد.
تماس، تلگرام، واتس آپ، سروش و ایمیل جهت سفارش و ارسال فایل ها به صورت زیر است:
ای دی و یوزر نیم تلگرام جهت جهت سفارش و ارسال فایل ها:
http://www.telegram.me/tarjomehrooz
ای دی و یوزر نیم سروش جهت سفارش و ارسال فایل ها:
کد 14m1:
عنوان مقاله:
Impact of Unified Power-Quality Conditioner Allocation on Line Loading, Losses, and Voltage Stability of Radial Distribution Systems
تاثیر تعیین محل کاندیشنر کیفیت توان یکپارچه روی بارگذاری خط، تلفات و پایداری ولتاژ سیستم های توزیع شعاعی
چکیده:
Abstract—This paper presents an investigative study on the impact of unified power-quality conditioner (UPQC) allocation on radial distribution systems. A design approach for UPQC, called sag-based design for phase-angle control for UPQC (UPQC-SPAC) is proposed. The phase-angle shifting of the load voltage required to mitigate a given value of voltage sag is determined and the same is used during a healthy operating condition in order to provide the reactive power compensation of a distribution network. To study the impact of the UPQC-SPAC allocation on distribution systems, it is placed at each node, except the substation node, one at a time. The load-flow algorithm for radial distribution systems is suitably modified to incorporate the UPQC-SPAC model. The simulation results show that a significant amount of power-loss reduction, under voltage mitigation, and the enhancement of voltage stability margin can be obtained with an appropriate placement of the UPQC-SPAC in a distribution network. The performance comparison of the UPQC-SPAC with one previously reported design approach shows that it is more efficient in undervoltage mitigation. An appropriate allocation of the UPQC-SPAC is also found to be beneficial for the networks with distributed-generation units
Index Terms—Power distribution planning, power loss, unified power-quality conditioner (UPQC), voltage stability
Sanjib Ganguly, Member, IEEE
کد 14m2:
عنوان مقاله:
An Estimator-Based Distributed Voltage Predictive Control Strategy for AC Islanded Microgrids
یک استراتژی کنترل پیشگیرانه ولتاژ توزیع مبتنی بر تخمین برای ریزشبکه های جزیره ای AC
چکیده:
Abstract—This paper presents an estimator-based voltage predictive control strategy for AC islanded microgrids, which is able to perform voltage control without any communication facilities. The proposed control strategy is composed of a network voltage estimator and a voltage predictive controller for each distributed generator, where the voltage estimator serves as an essential tool to obtain network voltages response without using communication links, while the voltage predictive controller is able to implement offset-free voltage control for a specified bus. The dynamic performance of the proposed voltage control strategy is analyzed through small signal analysis method, from which the design guideline for the controller parameters is formulated. Furthermore, the robustness of the proposed voltage control strategy is investigated under a series of parameters uncertainties, including the line parameters perturbation, load parameters variation, different disturbance locations, LC filters perturbation, output impedances perturbation and DG unit fault. The simulation and experimental results show that the proposed control approach is able to perform offset-free voltage control without any communication links and has a good capability to reject uncertain perturbations of islanded microgrids
Index Terms—Distributed voltage predictive control, voltage estimator, dynamic performance, robustness, islanded microgrid
کد 14m3:
عنوان مقاله:
Optimal sizing and location of SVC devices for improvement of voltage profile in distribution network with dispersed photovoltaic and wind power plants
تعیین اندازه و محل بهینه وسایل SVC برای بهبود پروفایل ولتاژ در شبکه توزیع با نیروگاه های بادی و فوتوولتائیک پراکنده
چکیده:
a b s t r a c t
Intermittent power generation of wind turbines and photovoltaic plants creates voltage disturbances in power distribution networks which may not be acceptable to the consumers. To control the deviations of the nodal voltages, it is necessary to use fast dynamic control of the reactive power in the distribution network. Implementation of the power electronic devices, such as Static Var Compensator (SVC), enables effective dynamic state as well as a static state of the nodal voltage control in the distribution network. This paper analyzed optimal sizing and location of SVC devices by using genetic algorithm, to improve nodal voltages profile in a distribution network with dispersed photovoltaic and wind power plants. Practical application of the developed methodology was tested on an example of a real distribution network
2014 Elsevier Ltd. All rights reserved
کد 14m4:
عنوان مقاله:
Method for Evaluating Battery Size Based on Loss of Load Probability Concept for a Remote PV System
روشی برای ارزیابی اندازه بر اساس مفهوم تلفات احتمالات بار برای سیستم PV از راه دور
چکیده:
Abstract—Solar photovoltaic power is one of the potential renewable energy generation technologies which have recently received considerable attention globally. However, the stochastic nature of these energy sources makes the power output difficult to predict and control exactly and hence energy storage device is expected to coordinate with such energy sources to maintain system reliability. This paper presents a realistic evaluation model of photovoltaic power and battery storage which can be used in Monte Carlo simulation. The highly intermittent nature of solar radiation, charge/discharge constraints of battery storage and operating coordination between energy storage and system are incorporated while modeling. The developed models are applied for calculating battery size of photovoltaic system based on reliability criteria such as Loss of load probability (LOLP) for a remote case study area. Finally, the system performance is assessed by increasing the peak demand of the study area
Keywords—solar photovoltaic; battery storage; loss of load probability; Monte Carlo simulation
کد 14m5:
عنوان مقاله:
Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications
افزایش انعطاف پذیری ترکیب برق و گرما برای ادغام توان بادی در چین: مدل و بیانات
چکیده:
Abstract—With the largest installed capacity in the world, wind power in China is experiencing a curtailment during operation. The large portion of the generation capacity from inflexible combined heat and power (CHP) is the major barrier for integrating this variable power source. This paper explores opportunities for increasing the flexibility of CHP units using electrical boilers and heat storage tanks for better integration of wind power. A linear model is proposed for the centralized dispatch for integrated energy systems considering both heat and power, with detailed modeling of the charging processes of the heat storage tanks. The model balances heat and power demands in multiple areas and time periods with various energy sources, including CHP, wind power, electrical boilers, and heat storage. The impact of introducing electrical boilers and heat storage systems is examined using a simple test system with characteristics similar to those of the power systems in Northern China. Our results show that both electrical boilers and heat storage tanks can improve the flexibility of CHP units: introducing electrical boilers is more effective at reducing wind curtailment, whereas heat storage tanks save more energy in the energy system as a whole, which reflect a different heating efficiency of the two solutions
Index Terms—Combined heat and power (CHP), energy system integration, heat storage, wind power
Xinyu Chen, Student Member, IEEE, Chongqing Kang, Senior Member, IEEE, Mark O’Malley, Fellow, IEEE,
Qing Xia, Senior Member, IEEE, Jianhua Bai, Chun Liu, Rongfu Sun, Weizhou Wang, and Hui Li
کد 14m6:
موضوعات مقاله برنامه ریزی توسعه تولید، سناریو، تولید، الگوریتم و بهینه سازی چند هدفه است.
عنوان مقاله:
Multi-objective transmission expansion planning considering multiple generation scenarios
برنامه ریزی توسعه تولید انتقال چند هدفه با در نظر گرفتن چندین سناریو تولید
چکیده:
a b s t r a c t
This paper shows a methodology for solving the Transmission Expansion Planning (TEP) problem when Multiple Generation Scenarios (MGS) are considered. MGS are a result of the multiple load flow patterns caused by realistic operation of the network, such as market rules, availability of generators, weather conditions or fuel prices. The solution to this problem is carried out by using multiobjective evolutionary strategies for the optimization process, implementing a new hybrid modified NSGA-II/Chu–Beasley algorithm and taking into account variable demand and generation. The proposed methodology is validated using the 6-bus Garver system and the IEEE-24 bus system. The TEP is based on the DC model of the network and non-linear interior point method is used to initialize the population. A set of Pareto optimal expansion plans with different levels of cost and load shedding is found for each system, showing the robustness of the proposed approach
:Keywords
Transmission planning
Generation scenarios
Multiobjective optimization
Market
Pareto front
Carlos A. Correa Florez a,⇑, Ricardo A. Bolaños Ocampo b, Antonio H. Escobar Zuluaga c
a Universidad De La Salle, Cra 2 10-70, Bogota, Colombia
bXM Filial de ISA, Calle 12 Sur 18-168, Medellin, Antioquia, Colombia
c Universidad Tecnologica de Pereira, Complejo Educativo La Julita, Pereira, Risaralda, Colombia
کد 14m7:
موضوعات مقاله شبکه هوشمند، بهره برداری سیستم های قدرت، بازار برق، ریزشبکه یا میکروگرید، توزیع اقتصادی، تجدید ساختار سیستم های قدرت است.
عنوان مقاله:
Optimization of micro-grid system using MOPSO
بهینه سازی سیستم ریزشبکه (میکروگرید) توسط MOPSO
چکیده:
a b s t r a c t
Access to a reliable source of electricity is a basic need for any community as it can improve the living standards characterized via the improvement of healthcare, education, and the local economy at large. There are two key factors to consider when assessing the appropriateness of a micro-grid system, the cost-effectiveness of the system and the quality of service. The tradeoff between cost and reliability of the system is a major compromise in designing hybrid systems. In this way, optimization of a Hybrid Micro- Grid System (HMGS) is investigated. A hybrid wind/PV system with battery storage and diesel generator is used for this purpose. The power management algorithm is applied to the load, and the Multi- Objective Particle Swarm Optimization (MOPSO) method is used to find the best configuration of the system and for sizing the components. A set of recent hourly wind speed data from three meteorological stations in Iran, namely: Nahavand, Rafsanjan, and Khash, are selected and tested for the optimization of HMGS. Despite design complexity of the aforementioned systems, the results show that the MOPSO optimization model produces appropriate sizing of the components for each location. It is also suggested that the use of HMGS can be considered as a good alternative to promote electrification projects and enhance energy access within remote Iranian areas or other developing countries enjoying the same or similar climatic conditions
:Keywords
Hybrid system
PV
Wind
Renewable energy
Particle swarm optimization
Multiobjective
Hanieh Borhanazad a, Saad Mekhilef a, *, Velappa Gounder Ganapathy b, Mostafa Modiri-Delshad a, c, Ali Mirtaheri d
a Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia
b Department of IT, Faculty of Engineering & Technology, SRM University, 603203 Chennai, India
c UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D UM, Jalan Pantai Baharu, 59990 Kuala Lumpur, Malaysia
d Department of Engineering, Design and Manufacture, University of Malaya, 50603 Kuala Lumpur, Malaysia
کد 14m8:
موضوعات مقاله شبکه هوشمند، بهره برداری سیستم های قدرت، بازار برق، ریزشبکه یا میکروگرید، پخش بار بهینه، انرژی بادی، توان حرارتی، تجدید ساختار سیستم های قدرت است.
عنوان مقاله:
Optimal power flow of a wind-thermal generation system
پخش بار بهینه یک سیستم تولید گرمایی-حرارتی
چکیده:
a b s t r a c t
Many expect wind energy to continue increasing due to falling capital costs, market scalability, and its low environmental impact. As more wind turbine generators are connected to utility systems, it is becoming more important to study the impact of wind turbine generators (WTGs) on power system operations. Wind generation system will affect not only the economic operation of a power system but also the bus voltage and transmission losses due to different locations of wind generation system. Optimal power flow (OPF) program is a useful tool for power system operation and planning. This study proposes an Evolutionary Particle Swarm Optimization (EPSO) approach for the optimal power flow problem. The proposed model considers up-spinning reserves, down-spinning reserves and the operational constraints of the generation unit. The effects of wind generation on power system operation and planning are investigated. This study uses the load and unit data of a modified IEEE 30 bus power system to test the corrective of the new method. The OPF results in this study satisfy the operational requirements of a wind-thermal power system. This study also applies the developed OPF program to estimate the effects of wind generation on power system operation and the planning. Experiment results show that the developed OPF program is a useful tool for wind-thermal power system operation and the planning. The results of this study can serve as a reference for wind-thermal power system operation and the planning.
:Keywords
Wind generation system
Optimal power flow
Spinning reserve
Particle swarm optimization
Yu-Cheng Chang a, Tsung-Ying Lee a,⇑, Chun-Lung Chen b, Rong-Mow Jan a
a Department of Electrical Engineering, Ming Hsing University of Science and Technology, Taiwan, ROC
b Department of Marine Engineering, National Taiwan Ocean University, Taiwan, ROC.
کد 14m9:
موضوعات مقاله شبکه هوشمند، بهره برداری سیستم های قدرت، بازار برق، ریزشبکه یا میکروگرید، توزیع بهینه، تولید پراکنده، انرژی های نو، هاب انرژی، خانه هوشمند، انرژی خانگی، تجدید ساختار سیستم های قدرت است.
عنوان مقاله:
An Optimal Dispatch Algorithm for Managing Residential Distributed Energy Resources
یک الگوریتم توزیع بهینه برای مدیریت منابع انرژی پراکنده مسکونی
چکیده:
thermal/electrical grid-connected home energy system, including a fuel-cell with combined heat and power (CHP) and a battery as energy storage system (ESS). A day-ahead scheduling algorithm for managing different resources is developed to generate an efficient look-up table that determines an optimal operation schedule for the distributed energy resources at each time interval, so that the operation cost of a smart house is minimized. The impact of the electricity tariff and the efficiency of the energy storage system are considered when optimizing the operation schedules. Index Terms—Battery efficiency, combined heat and power (CHP) system, electricity tariff, scheduling optimization, smart home
Hossein Karami, Mohammad Javad Sanjari, Seyed Hossein Hosseinian, Senior Member, IEEE, and
G. B. Gharehpetian, Senior Member, IEEE
کد 14m10:
موضوعات مقاله شبکه هوشمند، بهره برداری سیستم های قدرت، بازار برق، ریزشبکه یا میکروگرید، توزیع بهینه، الگوریتم علف های هرز، مشارکت واحدها، تجدید ساختار سیستم های قدرت است.
عنوان مقاله:
Unit commitment problem solution using invasive weed optimization algorithm
حل مساله در مدار قرار گرفتن واحدها توسط الگوریتم بهینه سازی علف های هرز
چکیده:
a b s t r a c t
The evolutionary algorithm of invasive weed optimization algorithm popularly known as the IWO has been used in this paper, to solve the unit commitment (UC) problem. This integer coded algorithm is based on the colonizing behavior of weed plants and has been developed to minimize the total generation cost over a scheduled time period while adhering to several constraints such as generation limits, meeting load demand, spinning reserves and minimum up and down time. The minimum up/down time constraints have been coded in a direct manner without using the penalty function method. The proposed algorithm was tested and validated using 10 units and 24 h system. The most important merit of the proposed methodology is high accuracy and good convergence speed as it is a derivative free algorithm. The simulation results of the proposed algorithm have been compared with the results of other tested algorithms for UC such as shuffled frog leaping, particle swarm optimization, genetic algorithm and Lagrangian relaxation and bacterial foraging algorithm.
:Keywords
Unit commitment
Evolutionary programming
Economic dispatch
IWO
Seeds
Fitness
B. Saravanan a,⇑, E.R. Vasudevan a, D.P. Kothari b,1
a Vellore Institute of Technology University, Vellore, India
b MVSR Engineering College, Hyderabad, India
کد 14m11:
موضوعات مقاله پایداری گذرا و مانا، بریکر، مدار شکن، دژنکتور، SVC و سیستم قدرت است
عنوان مقاله:
Combined operation of SVC and optimal reclosing of circuit breakers for power system transient stability enhancement
بهره برداری ترکیبی SVC و بستن بهینه مدار شکن (بریکر) برای افزایش پایداری گذرا سیسنم قدرت
چکیده:
a b s t r a c t
stabilitya b s t r a c tThis paper proposes the coordinated operation of optimal reclosing of circuit breakers and Static VarCompensator (SVC) for enhancing the transient stability of a multi-machine power system. The transientstability performance of the combined operation of optimal reclosing of circuit breakers and SVC is com-pared with that of the combined operation of conventional reclosing of circuit breakers and SVC. The totalkinetic energy (TKE) of the generators in the system is used to determine the transient stability enhance-ment index. Simulations are performed through Matlab/Simulink software. Simulation results for boththe three-line-to-ground (3LG) and single-line-to-ground (1LG) permanent faults at different points ofthe power system indicate that the proposed combination of optimal reclosing of circuit breakers andSVC can enhance the transient stability of the system well. Also, the performance of the proposed methodis better than that of the combined operation of conventional reclosing of circuit breakers and SVC
:Keywords
(Optimal reclosing of circuit breakers (ORCT
Permanent fault
(Static Var Compensator (SVC
(Total kinetic energy (TKE
Transient stability
Mohammad Ashraf Hossain Sadi∗, Mohd. Hasan AliDepartment of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, TN 38152, USAa
قسمتی از گزارش کار:
در این مقاله از انرژی جنبشی کل بر اساس وصل مجدد بهینه کلیدهای قدرت (دژنکتورها) برای بهبود پایداری گذرای سیستم قدرت استفاده شده است. انرژی جنبشی کل از مجموع انرژی جنبشی هر ژنراتور در سیستم به دست می آید. در این روش زمانی که در آن نوسان انرژی جنبشی ژنراتورها بدون عملکرد وصل مجدد مینیمم می شود، به عنوان زمان وصل مجدد بهینه(ORCT) تعیین می گردد. در این شبیه سازی از یک سیستم قدرت 9باسه IEEE استفاده می شود. این سیستم دارای 2 ژنراتور G1 و G2 با ظرفیت های به ترتیب 200MVA و 130MVA و یک شین بینهایت است. ژنراتورها به یکدیگر از طریق ترانسفورماتورها و خطوط انتقال دو مداره متصل می گردند. نقاط خطا به صورت F1، F2 و F3 مطابق شکل 1 مقاله در نظر گرفته شده اند. SVC1 و SVC2 به طور موازی با شین ژنراتورهای G1 و G2 متصل می شوند.
لینک دانلود مقاله:
http://s9.picofile.com/file/8305337384/www_tarjomehrooz_com_phone_09027952876.pdf.html
کد 14m12:
موضوعات مقاله الکترونیک قدرت و مبدل ماتریسی منبع Z است.
عنوان مقاله:
A Comparative Study of Series and Cascaded Z-Source Matrix Converters
چکیده مقاله:
کد 14m13:
موضوعات مقاله کیفیت توان راکتیو، کنترل توان راکتیو، بهره برداری سیستم های قدرت، خودروهای برقی، جبران سازی است.
عنوان مقاله:
Grid Reactive Power Compensation by Using Electric Vehicles
جبران سازی توان راکتیو شبکه با استفاده از خودروهای الکتریکی
چکیده:
Abstract—Along this paper, it will be presented how the Electric Vehicle (EV) bidirectional chargers can help the Distribution Grid. In addition to the battery charge and the Vehicle-to-Grid functions (V2G), the reactive power can be compensated according to an established reactive power reference. A three-phase bidirectional inverter connected with a DC link to a DC/DC bidirectional converter is utilized in the topology. The different modifications that are needed in the control algorithm and in the power stage are determined. Simulation results are shown, which prove how the reactive power is being compensated and the saturation of the reactive current is used to keep the power under predefined limits
Index Terms—Electric Vehicle, Bidirectional Charger, Distri-bution Grid, Reactive Energy, Control Algorithm
کد 14m14:
موضوعات مقاله ماشین های الکتریکی، موتورها، موتور BLDC، کنترل گشتاور مستقیم، مشاهده گر مد لغزشی، موتور DC بدون جاروبک و هدایت دو فاز است.
عنوان مقاله:
Robustness Evaluation of SMO in Sensorless Control of BLDC Motor under DTC Scheme
ارزیابی مقاوم SMO در کنترل بدون سنسور موتور BLDC تحت روش DTC
چکیده:
Abstract– Direct Torque Control (DTC) is a method to control the torque in variable frequency drives. This paper describes sensorless DTC of brushless dc (BLDC) motor drive operating in constant torque region under two phase conduction mode to get instantaneous torque control. Sliding Mode Observer (SMO) which is low sensitive to parameter variation is proposed to estimate the phase-to-phase trapezoidal back-EMF for the sensorless operation. This estimated back-EMF is used to deduce the rotor position and the angular velocity of the rotor. And instantaneous electromagnetic torque can be calculated by the product of back-EMF and current. The paper focuses the robustness evaluation of the Sliding Mode Observer to the variation of motor parameters and the effectiveness is also investigated with signum and saturation functions for DTC scheme
Index Terms– Brushless dc motor (BLDCM); Direct torque control (DTC); non-sinusoidal back-EMF; Sliding mode observer(SMO); two-phase conduction
کد 14m15:
موضوعات مقاله الکترونیک قدرت، خودروهای برقی،کنترل توان راکتیو، کیفیت توان، شارژر باتری، مبدل باک وست و درایو موتور است.
عنوان مقاله:
An Off-line Battery Charger Based on Buck-Boost Power Factor Correction Converter for Plug-in Electric Vehicles
یک شارژر باتری آفلاین مبتنی بر مبدل اصلاح ضریب توان بوک باست برای خودروهای برقی متصل به شبکه
چکیده:
این مقاله به طراحی یک شارژر باتری آفلاین جهت تغذیه وسایل نقلیه الکتریکی (EV) می پردازد که بر اساس مبدل اصلاح ضریب قدرت (PFC) باک-بوست کار می کند. شارژر باتری مجتمع از طریق اینورتر منبع ولتاژ سه فاز (VSI) هر EV را تغذیه کرده و به صورت مبدل باک-بوست با قابلیت اصلاح ضریب قدرت عمل می نماید. کنترلر PFC ولتاژ باتری را تنظیم نموده و جریان تغذیه مبدل را طوری کنترل می کند که ضریب قدرت واحد به دست آید. این روش بسیار ساده بوده و عملکرد خوبی دارد. مبدل PFC باک-بوست پیشنهادی، به طور متناوب در مُد باک و مُد بوست قرار گرفته و با توجه به رابطه بین ولتاژ ورودی یکسو شده و ولتاژ باتری عمل می کند. عملکرد شارژر باتری با پیاده سازی ساختار مبدل پیشنهادی در فضای سیمولینک متلب مورد شبیه سازی قرار خواهد گرفته و نتایج بررسی خواهد شد.
Abstract
This paper presents an off-line battery charger based on the buck-boost power factor correction (PFC) converter for plug-in electric vehicles (EV). The integrated battery charger is obtained from the traditional three-phase voltage source inverter (VSI) for EV, which operates as buck-boost converter with power factor correction ability. The PFC controller is regulates the battery voltage and controls the supply current of the converter to achieve unity power factor which is very simple and gives good performance. The proposed buck-boost PFC converter is operating in buck mode and boost mode, which is alternatively carried out according to the relationship between the rectified input voltage and battery voltage. The practicality and performance of the battery charger of the proposed converter topology has been verified via simulation
Keywords: Battery chargers, buck-boost converter, power factor correction, electric vehicle, ac motor drives
کد 14m16:
موضوعات مقاله بهره برداری سیستم های قدرت، تجدید ساختار سیستم های قدرت، بهینه سازی، ذخیره ساز انرژی هیدرو پمپ، سیستم انتقال، انرژی بادی و انرژی های نو هستند.
عنوان مقاله:
On the Use of Pumped Storage for Wind Energy Maximization in Transmission-Constrained Power Systems
استفاده از ذخیره ساز انرژی برای بیشیته سازی انرژی بادی در سیستم های قدرت با قیود انتفال
چکیده:
Abstract—Owing to wind power inherent characteristics and technical constraints of power systems operation, a considerable amount of wind energy cannot be delivered to load centers andذgets curtailed. Transmission congestion together with temporalذmismatch between load and available wind power can be accounted as the main reasons for this unpleasant event. This paper aims to concentrate on the wind energy curtailment for which it provides a combinatorial planning model to maximize wind power utilization. Jointly operating the wind power generation system with pumped hydro energy storage (PHES), the planning procedure tries to reach schemes with the minimum level of wind energy curtailment as well as low imposed cost of transmission network reinforcement. In this regard, a well-organized posterior multi-objective (MO) optimization framework is proposed aimed to properly deal with wind energy curtailment cost, total social cost, and also storage units’ revenue as some unavoidable factors in planning studies of power systems. The presented method is conducted on the modified IEEE Reliability Test System (IEEE-RTS) and the obtained results introduce its applicability and efficiency in planning procedure of the renewable-based power systems
Index Terms—Multi-objective (MO) optimization, non-dominated sorting genetic algorithm II (NSGA II), pumped hydro energy storage (PHES), transmission reinforcement, wind energy curtailment, wind farms
کد 14m17:
موضوعات مقاله دینامیک سیستم های قدرت، شبکه هوشمند، خودروهای برقی، کنترل فرکانس بار، بهره برداری سیستم های قدرت، گرم کن های پمپ آب حرارتی، سیستم های قدرت، بار متغیر، توان حرارتی و توان خورشیدی هستند.
عنوان مقاله:
A New Load Frequency Control Approach Utilizing Electric Vehicles and Heat Pump Water Heaters in Smart Power Systems Using Coefficient Diagram Method
در سال های اخیر، انرژی خورشیدی نسبت به سایر منابع تولید پراکنده، بیشتر مورد توجه قرار گرفته است. بنابراین از آنجاییکه توان خورشیدی نمی تواند به طور ثابت توان الکتریکی لازم را تولید نماید در نتیجه بعضی مواقع باعث عدم تعادل بین تولید و مصرف می گردد. برای کاهش مشکلات مذکور، تعدادی پمپ حرارتی (HPWH) و خودرو برقی (EV) به عنوان تجهیزات کنترلی جدید برای کنترل بار-فرکانس (LFC) جهت حذف نوسانات فرکانس استفاده می گردد که در اثر حضور منابع تولید پراکنده وسیع به وجود می آید. کنترلرهای رایج که بدون در نظر گرفتن مجهولات سیستم طراحی می شوند به علت نامعلوم بودن مشخصات سیستم از قبیل تغییر پارامترهای سیستم، در طراحی کنترلر ممکن است تاثیر کنترلی از بین رفته و باعث تغییرات فرکانسی گسترده شود. این امر کیفیت تامین توان را تحت تاثیر قرار داده و می تواند پایداری سیستم را بدتر نماید. در این مقاله یک روش کنترلی بار-فرکانس جدید (LFC) با استفاده از روش دیاگرام بهره (CDM) در حضور توان خورشیدی متغیر و توان حرارتی ارائه می گردد. روش CDM طوری طراحی شده است که تاثیر مجهولات ناشی از تغییر پارامترهای گاورنر و توربین و توان خورشیدی متغیر و اختلال بار کاهش می یابد. شبیه سازی یک سیستم قدرت نمونه برای تایید کارایی طرح پیشنهادی در محیط سیمولینک نرم افزار متلب انجام شده است. یک مقایسه بین عملکرد طرح پیشنهادی و طرح کنترلی انتگرالی رایج برای اثبات برتری روش CDM پیشنهادی در سیستم قدرت هوشمند انجام می گیرد.