A new Hybrid Evolutionary Algorithm for Distribution Network Reconfiguration Considering Wind and load uncertainty
سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 541
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ECMCONF03_008
تاریخ نمایه سازی: 26 خرداد 1399
چکیده مقاله:
Distribution Network Reconfiguration (DNR) must account uncertain behavior of loads and wind, when Wind Turbine Generators (WTG) supports a significant part of network. In this paper a new hybrid Bacterial Foraging and Differential Evolution (BF-DE) algorithm is considered for the DNR problem with minimum loss. In the BF-DE algorithm the DE algorithm is combined with the BF algorithm to improve the performance of BF. Indeed, the proposed algorithm is based on the evolutionary natures of BF and DE, to take their advantage of the compensatory property, and avoid their drawbacks. In addition, to cope with the uncertainty behavior of loads and wind, a stochastic model is presented to solve the DNR problem when the uncertainty related to wind and loads forecast is modeled in a stochastic framework on scenario approach basis. The proposed algorithm is tested on an 84-bus distribution test systems. The results of the simulation show the effectiveness of proposed algorithm
کلیدواژه ها:
Distribution Network Reconfiguration (DNR) ، Wind Turbine Generators (WTG) ، Bacterial foraging (BF) ، Differential Evolution (DE).
نویسندگان
Mohammad Reza Mousavi Khademi
Feiz University of Electrical Engineering, Kashan, Iran
Rasoul Sarvestani
Islamic Azad University of Electrical Engineering, Majlesi Branch, Iran
Morteza Mousavi Khademi
Islamic Azad University of Electrical Engineering, Yazd Branch, Iran