能源互联微网系统供需双侧多能协同优化策略及其求解算法

发布时间：2018-01-31 06:37

本文关键词： 能源互联微网供需双侧协同优化　出处：《电网技术》2017年02期 　论文类型：期刊论文

【摘要】：为提高新能源利用效率,充分考虑了供给侧、需求侧以及能源转换之间的影响作用,构建了能源互联微网系统供需双侧多能协同优化策略模型,提出了求解混合整数非线性规划模型的带个体差异蚁群算法与粒子群优化算法相结合的组合算法(particle swarm optimizer-individual variation ant colony optimization,PSO-IVACO)。将所提模型及求解算法应用于我国某典型园区能源互联微网系统夏季和冬季典型日的实际算例中,并与传统分布式冷热电联供系统相比较,结果表明:PSO-IVACO算法求解此类问题具有可行性,考虑供需双侧的能源互联微网系统在夏季和冬季均具有显著经济和环境效益,促进了新能源并网消纳。
[Abstract]:In order to improve the efficiency of new energy utilization, considering the effects of supply side, demand side and energy conversion, a multi-energy cooperative optimization strategy model for energy interconnected microgrid system is established. In this paper, a combination of ant colony algorithm with individual difference and particle swarm optimization algorithm for solving mixed integer nonlinear programming model is proposed. Particle swarm optimizer-individual variation ant colony optimization. PSO-IVACOO. The proposed model and its solution algorithm are applied to the practical examples of typical days in summer and winter of a typical park energy interconnected microgrid system in China. Compared with the traditional distributed CCHP system, the results show that it is feasible to solve this kind of problem with the solution of the WPSO-IVACO algorithm. The energy interconnected microgrid system with both sides of supply and demand has significant economic and environmental benefits in summer and winter, which promotes the integration of new energy sources into the grid.
【作者单位】：华北电力大学经济与管理学院;国网天津市电力公司经济技术研究院;
【基金】：国家电网公司科技项目(面向电改的分布式电源与微电网运营模式研究,适应我国售电侧放开的自动需求响应仿真技术研究) 中央高校基本科研业务费专项资金资助(2016XS84)~~
【分类号】：TM727
【正文快照】： 0引言近年来,随着能源安全、气候危机、环境保护等社会大环境的改变,各国纷纷实施能源结构变革和能源消费转变。我国能源革命以提高能源利用效率,减少污染排放,保障能源供应和能源安全作为核心内容,极大促进了能源互联网的建设和发展[1-2]。能源互联网是能源技术领域的变革,

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