考虑到可再生能源的微电网成本最小化的最佳需求侧管理

Swarupa Pinninti, Srinivasa Rao Sura
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摘要

在普通微电网配置中,所需负荷每小时都在变化。电力系统公司通过考虑消费曲线的最高点和最低点来确定一天中不同时间的能源成本。这就是所谓的电力使用时间定价(TOU)。按小时计算的负荷需求分为灵活和不灵活两类。需求侧管理(DSM)可降低高峰需求,同时根据客户参与降低负荷的情况给予奖励。他以需求成本变动为支柱,重建了整个负荷模型。该研究推荐了一种基于综合智力法的 DSM 方法,以降低微电网(MG)结构中使用负载的总成本,同时将碳税视为降低污染物排放的不可避免的约束条件。这是因为 40% 的微电网客户愿意参与 DSM 计划。各图例得出的结果表明,建议的 DSM 技术在降低成本方面是合适的。当 0%-40% 的客户参与 DSM 计划时,发电成本从 15,488 美元降至 15,354 美元。在发电成本仅增加 3% 的情况下,碳价格与经济排放调度相结合,使污染物排放量减少了 78%,从 70 吨减少到 15 吨。
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An optimal demand side management for microgrid cost minimization considering renewables
In an ordinary microgrid configuration, the required load changes from hour to hour. The power system firms determine the cost of energy at different times of day by considering the highest and lowest points of the consumption curve. This is referred to as time‐of‐use (TOU) pricing for power. The hourly basis load demand is divided into flexible and inflexible categories. Demand side management (DSM) lowers peak demand while rewarding customers for their participation based on load lowering. His rebuilds the whole load model on the pillars of demand cost movement. The research recommends a DSM methodology based on a combined intellect method to lower the total cost of employing loads in a microgrid (MG) structure while considering carbon tax as an unavoidable constraint to lower the emission of pollutants. This is because 40% of microgrid customers are willing to participate in the DSM scheme. The results obtained in each illustration demonstrate that the suggested DSM technique is suitable in terms of cost reduction. The generating cost was decreased from $15,488 to $15,354 when 0%–40% of clients engaged in the DSM programme. With just a 3% compromised increase in generation costs, a carbon price combined with economic emission dispatch reduced the pollutants emitted by up to 78%, from 70 to 15 tons.
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