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

被引:20
|
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
08 ; 0830 ;
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
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