Optimal network reconfiguration and DG allocation using adaptive modified whale optimization algorithm considering probabilistic load flow

作     者：Uniyal, Ankit Sarangi, Saumendra 

作者机构：Motilal Nehru Natl Inst Technol Allahabad Allahabad Uttar Pradesh India Natl Inst Technol Srinagar Uttarakhand India 

出 版 物：《ELECTRIC POWER SYSTEMS RESEARCH》 (电力系统研究)

年 卷 期：2021年第192卷

页      面：106909-106909页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

主　　题：Active power loss Distribution system Distributed generation Network reconfiguration Point estimate methods Probabilistic load flow Whale optimization algorithm 

摘      要：The optimal DG allocation (ODGA) and network reconfiguration (NR) are significant tools to improve voltage stability and minimize power losses in a distribution network. In a real power distribution network loads are random variables, thus ODGA and NR processes are incorporated using a probabilistic load flow (PLF). The reactive power capability of DGs has a significant impact on the network parameters which can be studied using PLF. In the present work, an ODGA and NR processes have been incorporated to improve the voltage stability and loss profile of the distribution system considering probabilistic loads and DGs which are operated at varying pfs. The optimization problem has been solved using an adaptive modified whale optimization algorithm (AMWOA). A novel technique based on depth first search algorithm has been employed to check radiality constraints. The effectiveness of proposed technique has been tested on two standard distribution networks.