مدیریت بهينه انرژی در شبکه توزيع شعاعی با درنظرگرفتن ریزشبکه‌های چندگانه، عدم قطعیت‌ها و شاخص تاب¬آوری با ¬استفاده از الگوریتم بهینه¬سازی شاهین هریس بهبودیافته
محورهای موضوعی : مهندسی برق قدرت
مرضیه پشت یافته
1
,
حسن براتی
2
,
علی درویش فالحی
3
1 - گروه برق، واحد دزفول، دانشگاه آزاد اسلامی، دزفول، ايران
2 - گروه برق، واحد دزفول، دانشگاه آزاد اسلامی، دزفول، ايران
3 - گروه برق، واحد شادگان، دانشگاه آزاد اسلامی، شادگان، ايران
کلید واژه: ریزشبکه¬های چندگانه, عدم قطعیت¬ها, الگوريتم شاهين هريس, تاب¬آوری, بازآرایی,
چکیده مقاله :
در این مقاله، یک مدیریت بهينه انرژی برای یک ریزشبکه چندگانه (MMG) متصل به شبکه‌ی توزیع (DN) پيشنهاد شده است. در اين بهينه‌سازي توابع هدف مختلفي در نظر گرفته شده است شامل: هزینه شبکه، کاهش آلاینده‌ها و تلفات، و تاب‌آوري شبکه توزیع. همچنین، در اين مقاله تأثیر جایابی منابع توليدات پراکنده توأم با بازآرایی شبکه توزیع در فرآیند بهینه‌سازی و با هدف کاهش تلفات، افزایش قابلیت اطمینان و تاب‌آوری در نظر گرفته شده‌اند. عدم قطعیت موجود در منابع تجديدپذير و مصرف‌کننده‌ها با استفاده از روش تئوری تصمیمگیری شکاف اطلاعاتی (IGDT) فرمولبندی شده است. متغیرهای تصمیمگیری شامل مکان منابع و ریزشبکهها، ظرفیت نصب و ضریب قدرت و شعاع عدم قطعیت با استفاده ااز الگوریتم فراابتکاری بهبودیافته شاهین هریس (MHHO) و حلکننده CPLEX بصورت بهینه تعیین شده است. در الگوریتم MHHO، پارامتر انرژی خرگوش (E) با رفتار و مقدار تابع هدف، بهطور دینامیکی تغییر نماید. روش پيشنهادي بر روي شبکه توزیع 33 شینه IEEE در مرحله اول در افق زمانی 24 ساعته شامل سه ريزشبکه با منابع مختلف انرژي تجديدپذير به جهت تعیین ساختار شبکه از بابت شین‌های اتصال ریزشبکهها و منابع پراکنده توسط الگوریتم جایابی و در مرحله بعد در زمان های مختلف شاخص تاب‌آوری بر اثر قطع ارتباط شبکه توزیع با شبکه بالادست بررسی می‌گردد. نتايج حاصل از شبیه‌سازی بیانگر عملکرد مطلوب الگوریتمMHHO در جایابی ریزشبکهها، منابع تولید پراکنده و بازآرایی شبکه جهت بهبود مدیریت بهینه انرژی و شاخص تاب‌آوری میباشد.
This paper proposes optimal energy management for multiple microgrids (MMG) connected to a distribution network (DN), in which various objective functions including network cost, pollutant reduction and losses, and distribution network resilience are considered. Also, the effect of the placement of distributed generation sources and the distribution network's reconfiguration in the optimization process to reduce losses, increasing reliability and resilience are considered. Uncertainties are formulated using Information Gap Decision Theory (IGDT). The decision variables, including the location of resources and microgrids, installation capacity, power factor, and uncertainty radius, have been optimally determined using the Modified Harris Hawk Optimization algorithm (MHHO) and the CPLEX solver. In the MHHO algorithm, the rabbit energy parameter (E) changes dynamically with the behavior and value of the objective function. Finally, the proposed method on the IEEE 33-bus Radial Distribution System in the first stage in a 24-hour time horizon including three micro-grids with different renewable energy sources to determine the structure of the network due to the buses connecting micro-grids and scattered sources by the placement algorithm and in the next stage in time Different resilience indicators are investigated due to the disconnection of the distribution network with the upstream network. The simulation results show the MHHO algorithm's optimal performance in placing microgrids, distributed generation sources, and network reconfiguration to improve the optimal energy management and resilience index.
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