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

机译:市场情景下的DG规划和可行性分析的通用方法

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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.
机译:在本文中,考虑对分布式发电机(DG)放置启发式方法,以最大程度地减少系统损耗。收缩因子粒子群优化方法被用作规划问题的优化工具。提出了一种基于蒙特卡洛模拟的概率潮流,以寻找规划问题中分布式发电设备的不可用性。针对生物质,风能,太阳能光伏和柴油机DG的电力市场情景中的计划进行了净现值分析,以了解其在双边和竞争性市场情景中的可行性。已经考虑了各种因素,例如利润,资本激励,更换,启动,运营和维护成本。所提出的基于市场的分析既简单又通用,并且可以为配电公司提供选择,以在各种约束条件下选择危险品。在16总线,33总线和69总线配电系统上测试了该方法的有效性,并将结果与​​文献中建议的改进分析方法进行了比较。

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