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Selection of distributed generation for distribution network: A study in multi-criteria framework

机译:配电网分布式发电的选择:多准则框架研究

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The worsening misalignment between energy demand and supply with major consequences on energy prices, threat of disruptive climate change and erosion of energy security have given momentum towards utilization of distributed generation (DG) technologies. However, proper choice of DG technology and its location and size in the distribution network have become a very challenging issue. This paper analyzes the scope of six different DG technologies namely solar photovoltaic, wind turbine, biomass, fuel cell, diesel engine and gas turbine for a distribution network in the district of South 24 Parganas, West Bengal, India. Analytical hierarchy process has been used to choose proper type of DG for the region considering technical, economical and environmental aspect. A weighted aggregation based multi-objective particle swarm optimization technique is employed to determine location and size of the DG in the distribution network. The optimization technique considers power and voltage constraints and generates potential solution to minimize power losses and maximize voltage stability level of the network.
机译:能源供需之间的不平衡加剧,对能源价格产生重大影响,破坏性气候变化的威胁以及能源安全的削弱,推动了分布式发电(DG)技术的利用势头。但是,正确选择DG技术及其在配电网中的位置和大小已经成为一个非常具有挑战性的问题。本文分析了印度西孟加拉邦South 24 Parganas地区的六种不同DG技术的范围,这些技术分别是太阳能光伏发电,风力涡轮机,生物质能,燃料电池,柴油发动机和燃气轮机,用于配电网。考虑到技术,经济和环境方面,已使用层次分析法为该地区选择合适的危险品类型。基于加权聚合的多目标粒子群优化技术被用于确定配电网中DG的位置和大小。优化技术考虑了功率和电压约束,并生成了潜在的解决方案,以最大程度地降低功率损耗并最大化网络的电压稳定性。

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