Multifunction Battery Energy Storage System for Distribution Networks

作     者：Omar H.Abdalla Gamal Abdel-Salam Azza A.A.Mostafa 

作者机构：Department of Electrical Power&MachinesHelwan UniversityCairoEgypt Technical Affairs SectorsSouth Cairo Electricity Distribution CompanyCairoEgypt Department of Energy Efficiency and RenewablesEgyptian Electric Utility and Customer Protection Regulatory AgencyCairoEgypt 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2022年第119卷第2期

页      面：569-589页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Battery energy storage system photovoltaic penetration peak load reduction valley filling MILP optimization 

摘      要：Battery Energy Storage System(BESS)is one of the potential solutions to increase energy system flexibility,as BESS is well suited to solve many challenges in transmission and distribution *** of distribution network’s challenges,which affect network performance,are:(i)Load disconnection or technical constraints violation,which may happen during reconfiguration after fault,(ii)Unpredictable power generation change due to Photovoltaic(PV)penetration,(iii)Undesirable PV reverse power,and(iv)Low Load Factor(LF)which may affect electricity *** this paper,the BESS is used to support distribution networks in reconfiguration after a fault,increasing Photovoltaic(PV)penetration,cutting peak load,and loading valley *** paper presents a methodology for BESS optimal locations and sizing considering technical constraints during reconfiguration after a fault and PV power generation *** determining themaximumpower generation change due to PV,actual power registration of connected PV plants in South Cairo Electricity Distribution Company(SCEDC)was considered for a *** addition,the paper provides a procedure for distribution network operator to employ the proposed BESS to perform multi functions such as:the ability to absorb PV power surplus,cut peak load and fill load valley for improving network’s *** methodology is applied to a modified IEEE 37-node and a real network part consisting of 158 nodes in SCEDC *** simulation studies are performed using the DIgSILENT PowerFactory software andDPL programming *** Mixed Integer Linear Programming optimization technique(MILP)in MATLAB is employed to choose the best locations and sizing of BESS.