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Techno-economic and Environmental Strategy for Optimal Planning of Dispatchable and Non-Dispatchable DG units in Distribution Systems

机译:配电系统中可分配和不可分配DG机组优化规划的技术经济和环境策略

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As the decentralized mode of electricity generation is growing at a fast pace, estimation of suitable locations for DG placement and their optimal sizing plays a very crucial role in enhancing technical as well as economic performance of the system. A multi-objective problem comprising of economic index, environment impact reduction index and technical indices i.e. real power loss, voltage deviation and maximum capacity of branch current has been formulated in this paper. It provides a techno-economic and environmental approach for optimally placing and sizing the renewable DG sets which are further classified as dispatchable (wind and solar) and non-dispatchable (biomass) in 51-bus distribution system (radial). AHP i.e. Analytic Hierarchy Process has been employed for appropriately deciding the weighing factors for various indices. The deduced multi-objective problem function (F) has been minimized by using Particle Swarm Optimization i.e. PSO approach. For validating the AHP approach, four cases have been developed by assigning priorities to various indices. The corresponding results obtained are shown to briefly illustrate the technical, economic and environmental aspects. This paper also compares the obtained results with those of other multi-objective problems and was found more promising.
机译:随着分散式发电模式的快速发展,估计分布式发电设备的合适位置及其最佳尺寸对于提高系统的技术和经济性能起着至关重要的作用。本文提出了一个包含经济指标,减少环境影响指标和技术指标的多目标问题,即有功损耗,电压偏差和支路电流最大容量。它提供了一种技术经济和环境方法,可优化放置和调整可再生DG机组的大小,这些可再生DG机组在51总线配电系统(径向)中进一步分为可调度(风能和太阳能)和不可调度(生物质)。已采用AHP(即层次分析法)来适当确定各种指标的权重因子。推导的多目标问题函数(F)已通过使用粒子群优化(即PSO方法)最小化。为了验证AHP方法,通过为各种指标分配优先级,开发了四种情况。所获得的相应结果将简要说明技术,经济和环境方面。本文还将获得的结果与其他多目标问题的结果进行了比较,并被发现更有希望。

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