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A Generalized Approach for DG Planning and Viability Analysis Under Market Scenario

【摘要】 In this paper, a heuristic approach is considered for the distributed generator (DG) placement to minimize system loss. The constriction-factor particle swarm optimization method is used as an optimization tool for the planning problem. A Monte-Carlo-simulation-based probabilistic load flow is proposed to find the unavailability of the DGs in the planning problem. The net-present-value analysis of the planning in electricity-market scenario is carried out for biomass, wind, solar-photovoltaic, and diesel-engine DGs to see their viability under bilateral- and competitive market scenarios. Various factors such as profit, incentives on capital, replacement, startup, operation, and maintenance costs have been taken into account. The proposed market-based analysis is simple and generic, and can provide choices to the distribution utilities to select DGs under various constraints. The effectiveness of the proposed method is tested on 16-, 33-, and 69-bus distribution systems, and results are compared with an improved analytical method suggested in literature.

【期刊名称】 IEEE Transactions on Industrial Electronics

【作者】 Jain, N.; Singh, S.N.; Srivastava, S.C.;

【作者单位】 Department of Electrical Engineering, Indian Institute of Technology Kanpur , Kanpur, India|c|;

【收录信息】;

【年(卷),期】2013(60),11

【年度】2013

【页码】5075-5085

【总页数】11

【原文格式】PDF

【正文语种】eng

【中图分类】;

【原文服务方】国家工程技术数字图书馆

【关键词】Distribution load flow;Monte Carlo simulation (MCS);particle swarm optimization (PSO);renewable energy sources (RES);

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