Optimised planning of distribution network with photovoltaic system, battery storage, and DSTATCOM

被引:26
作者
Ghatak, Sriparna Roy [1 ]
Sannigrahi, Surajit [2 ]
Acharjee, Parimal [2 ]
机构
[1] KIIT Univ, Sch Elect Engn, Bhubaneswar 751024, Odisha, India
[2] NIT Durgapur, Elect Engn Dept, MG Ave, Durgapur 713209, India
关键词
power markets; photovoltaic power systems; genetic algorithms; static VAr compensators; power supply quality; distributed power generation; fuzzy set theory; cost-benefit analysis; power generation reliability; power distribution planning; battery storage; BS; distributed static compensator; DSTATCOM; power quality; comprehensive strategic model; network voltage profile improvement index; benefit-cost ratio; environment benefit index; economic benefits; reliability indices; system reliability; 69-bus distribution networks; time variant practical load models; global warming; energy market deregulation; solar photovoltaic system; power service reliability; distribution network optimised planning; photovoltaic system; voltage profile improvement indicator; fuzzy based NSGA II extended version; 33-bus distribution networks; DEREGULATED ENVIRONMENT; PERFORMANCE ANALYSIS; GENETIC ALGORITHM; NSGA-II; GENERATION; ENERGY; PV; DG;
D O I
10.1049/iet-rpg.2018.5088
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
In this circumstance of global warming, energy market deregulation, and enormous load growth, distribution network entails a proficient strategy to maintain the reliability and efficiency of the power service. Incorporation of solar photovoltaic (PV) system and battery storage (BS) in coordination with distributed static compensator (DSTATCOM) is a competent and practical approach to alleviate the power quality and reliability concern. In this study, a comprehensive strategic model is presented to optimally deploy PV, BS, and DSTATCOM to maximise voltage profile improvement, reliability, economic, and ecological benefit of the network. An accurate and precise novel voltage profile improvement indicator namely network voltage profile improvement index is proposed. Benefit-cost ratio and environment benefit index are proposed to quantify economic and environmental benefits, respectively. Similarly, reliability indices such as expected energy not served are used to appraise the system reliability. A fuzzy based extended version of NSGA II is utilised for the optimal deployment of the devices considering security limits. The proposed method is tested on 33-bus and 69-bus distribution networks considering time variant practical load models and the obtained results validate the efficacy and efficiency of the proposed method when compared with other multi-objective algorithms.
引用
收藏
页码:1823 / 1832
页数:10
相关论文
共 24 条
[1]
Optimal DG allocation and sizing in presence of storage systems considering network configuration effects in distribution systems [J].
Abbasi, Fazel ;
Hosseini, Seyed Mehdi .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (03) :617-624
[2]
Multiobjective particle swarm optimization for environmental/economic dispatch problem [J].
Abido, M. A. .
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (07) :1105-1113
[3]
Baghipour Reza, 2012, International Journal of Intelligent Systems and Applications, V4, P57, DOI 10.5815/ijisa.2012.12.08
[4]
Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas [J].
Baker, Kyri ;
Guo, Junyao ;
Hug, Gabriela ;
Li, Xin .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (02) :992-1001
[5]
Deb K., MULTIOBJECTIVE OPTIM, P203
[6]
Optimal location and sizing determination of Distributed Generation and DSTATCOM using Particle Swarm Optimization algorithm [J].
Devi, S. ;
Geethanjali, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 62 :562-570
[7]
Determining PV Penetration for Distribution Systems With Time-Varying Load Models [J].
Duong Quoc Hung ;
Mithulananthan, Nadarajah ;
Lee, Kwang Y. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (06) :3048-3057
[8]
Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability [J].
Duong Quoc Hung ;
Mithulananthan, N. ;
Bansal, R. C. .
APPLIED ENERGY, 2014, 113 :1162-1170
[9]
Fonseca C.M., 1993, IEE C GENETIC ALGORI, P1
[10]
Comparative Performance Analysis of DG and DSTATCOM Using Improved PSO Based on Success Rate for Deregulated Environment [J].
Ghatak, Sriparna Roy ;
Sannigrahi, Surajit ;
Acharjee, Parimal .
IEEE SYSTEMS JOURNAL, 2018, 12 (03) :2791-2802