Robust Economic Dispatch of Microgrid With Highly Penetrated Renewables and Energy Storage System

B. Dey, B. Bhattacharyya, Sharmistha Sharma
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引用次数: 12

Abstract

Economic dispatch (ED) of a grid-connected and renewable integrated microgrid is considered in this article. Here, the renewable energy sources (RES) taken into consideration are wind farms. A parameter worst-case-transaction-cost which arises due to the stochastic availability and uncontrollable nature of wind farms is also emphasised and efforts have been taken to minimize it too. Hence, the article focuses on separately optimizing the generation costs and the worst-case transaction costs. It also optimises the net microgrid cost as a whole, which is the summation of generation costs and the worst-case transaction costs. Two different cases with highly varying transaction prices are studied. Various types of loads, ramp rates of generators, charging and discharging limits of the batteries are taken into consideration while minimizing the microgrid cost. Four meta-heuristic soft computing algorithms are applied for optimization and a comparative analysis among them is studied. Numerical results are tabulated to justify the effectiveness of the novel approach.
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高渗透可再生能源和储能系统微电网的稳健经济调度
本文研究了并网可再生集成微电网的经济调度问题。这里考虑的可再生能源(RES)是风力发电场。由于风力发电场的随机可用性和不可控性而产生的参数最坏情况交易成本也得到了强调,并努力使其最小化。因此,本文重点对发电成本和最坏情况下的交易成本分别进行优化。它还优化了微电网的整体净成本,即发电成本和最坏情况下的交易成本之和。本文研究了两种交易价格高度变化的情况。在最小化微电网成本的同时,考虑了各种类型的负载、发电机的斜坡率、电池的充放电限制。采用四种元启发式软计算算法进行优化,并进行了比较分析。数值结果被制成表格来证明新方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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