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Dynamic economic emission dispatch with loss heat optimization for a micro-grid smart Micro Grid

机译:通过微电网智能和微电网的动态经济排放分配和热量和热量优化

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This paper presents a comprehensive formulation for dynamic economic emission dispatch with loss and heat optimization scheme of a MicroGrid (MG) with utility participation. The projected problem is framed as a nonlinear inhibited multi-objective optimization problem. The proposed problem takes into consideration the process and upkeep cost, loss, heat as well as the emission reduction of noxious gases which are harmful to nature. With the rapid depletion of fossil fuel energy resources, increasing cost and universal emphasis on reducing emissions, impetus is being given for significant contribution of renewable energy sources. The MG technology is hence taking pace with the objective of improvement in efficiency & reliability and enabling incorporation of distributed energy resources (DER). Multi-objective optimization problem is a multifaceted task and traditional methods do not work fit in real-world ambiguous situation. This paper presents a technique based on Weighted SumTime-Varying Differential Evolution (TVDE) for simultaneous optimization of two of the four objectives i.e. Cost, Emission, Heat and Loss, in a micro-grid. The suggested approach is applied on a 5-Distributed Energy Resources and 14-Bus radial micro network with utility participation.
机译:本文提出了一种具有公用事业参与的微电网(MG)的具有损耗和热优化方案的动态经济排放调度的综合公式。投影问题被构造为非线性抑制的多目标优化问题。所提出的问题考虑了过程和维护成本,损失,热量以及有害于自然的有害气体的排放减少。随着化石燃料能源的迅速枯竭,成本的增加以及对减少排放的普遍重视,可再生能源的巨大贡献正在得到推动。因此,MG技术正朝着提高效率和可靠性并能够整合分布式能源(DER)的目标迈进。多目标优化问题是一个多方面的任务,传统方法在现实世界中模棱两可的情况下不起作用。本文提出了一种基于加权和时差微分进化(TVDE)的技术,用于同时优化微电网中四个目标中的两个目标,即成本,排放,热量和损失。建议的方法应用于具有公用事业参与的5分布式能源和14总线径向微网络。

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