文章基本信息

标题：Hourly Congestion Management by Adopting Distributed Energy Storage System using Hybrid Optimization
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作者：VATSALA SHARMA ; PRATIMA WALDE ; ANWAR SHAHZAD SIDDIQUI 等
期刊名称：Journal of Electrical Systems
印刷版ISSN：1112-5209
出版年度：2020
卷号：16
期号：2
页码：257-275
出版社：ESRGroups
摘要：In this paper, the optimal location and sizing of DESS are proposed for transmission congestion management. Transmission Congestion Cost (TCC) is used to find the optimal location of DESS, whereas hybrid optimization based on Flower Pollination Algorithm (FPA) and Differential Evolution (DE) is proposed for optimal sizing of DESS. The methodology considering Solar PV and Energy Storage System (ESS) as sources of energy is being used. 24 hours real temperature and solar irradiance data of Delhi are taken to mathematically model the generation from Solar PV to manage congestion throughout the 24 hours. ESS is used to store surplus energy. The proposed approach is tested on IEEE-30 and IEEE-57 bus systems, and 24 hours demand is assumed to follow the hourly load shape (summer season) of the IEEE reliability test system. The performance of the proposed approach is validated by comparing the results obtained through hybrid (FPA-DE) optimization with the results obtained through DE optimization. It is observed from the experiment that both the optimization techniques (DE, Hybrid) performed well in managing congestion. However, DE has a higher consumption of resources that lead to shortage of resources at the end of the day; hence fails to manage congestion the next day, when solar irradiance is not available. In contrast, hybrid optimization provides very encouraging results, and at the end of the day saves approx. 39% of ESS, thus can participate in congestion management for the next day in the absence of solar irradiance.
关键词：Energy storage system;transmission congestion cost;locational marginal price;flower pollination algorithm;differential evolution;hybrid optimization