DG integrated distribution system expansion planning with uncertainties

作     者：Malee, Rahul Kumar Chundawat, Ashok Singh Maliwar, Niharika Sharma, Avadhesh Kumar 

作者机构：Jaipur Engn Coll & Res Ctr Dept Elect Engn Jaipur Rajasthan India Dwarkadas J Sanghvi Coll Engn Dept Elect & Telecommun Engn Bombay Maharashtra India Swami Keshwanand Inst Technol Dept Elect Engn Jaipur Rajasthan India 

出 版 物：《JOURNAL OF INTELLIGENT & FUZZY SYSTEMS》 (智能与模糊系统杂志)

年 卷 期：2018年第35卷第5期

页      面：4997-5006页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Probability distribution function distributed generation quantum PSO monte-carlo simulation 

摘      要：Expansion planning of distribution system is the most significant tool which deal with the continuous increasing load demand. The main motive of the expansion planning is the minimization of the investment and operation cost of distribution network equipment which consider the installation/reinforcement cost of substation, feeders and Distribution Generation. In this paper, price and load uncertainties are taken in to expansion planning which gives the robust and reliable expansion planning. These uncertainties are molded as Normal Probability Distribution Function. By using Monte Carlo Simulation uncertainties are added in to planning. A 72 bus (Kian-pars Ahvaz 11 KV a practical distribution network in Iran) distribution network is used for case study of expansion planning. This multistage dynamic expansion planning problem is resolved by the Quantum Particle Swarm Optimization. The proposed algorithm is compared with the standard Particle Swarm Optimization and results shows the superiority of proposed algorithm over PSO.