微型电脑应用2024,Vol.40Issue(3) :112-116.

含冷热电联供的用户级综合能源系统多能协同优化调度

Multi-energy Cooperative Optimal Scheduling of Integrated Energy System for Combined Cooling,Heating and Power Supply

郑志伟 高董英 丁宁 黄芳芳 黄丽榕 林建华
微型电脑应用2024,Vol.40Issue(3) :112-116.

含冷热电联供的用户级综合能源系统多能协同优化调度

Multi-energy Cooperative Optimal Scheduling of Integrated Energy System for Combined Cooling,Heating and Power Supply

郑志伟 1高董英 1丁宁 1黄芳芳 1黄丽榕 2林建华2
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作者信息

  • 1. 国网福建省电力有限公司信息通信分公司,福建,福州 350000
  • 2. 国网信通亿力科技有限责任公司,福建,福州 350003
  • 折叠

摘要

针对含微网的冷热电联供系统优化调度问题,建立了包括风电、光伏发电、燃气轮机、制冷机、锅炉等综合能源系统模型.以最小化环境成本和经济成本为 目标,采用麻雀优化算法来优化含粒子群算法的含微网的冷热电联供系统优化调度方案.所提出的麻雀算法优化粒子群,改善了粒子群算法易陷入局部最优,收敛速度慢的缺陷.并对所提麻雀优化粒子群算法进行函数仿真测试,对比结果验证了所提方法的可靠性.基于麻雀优化粒子群的冷热电联供系统优化调度模型,并与传统粒子群和现有方案进行对比,所提方法的环境成本和经济成本均为最低,验证了所提方法的有效性.

Abstract

A model of integrated energy system including wind power,photovoltaic power,gas turbine,refrigerator,boiler and so on is established to solve the optimization scheduling problem of cogeneration system with microgrid.In order to minimize the environmental cost and economic cost,sparrow optimization algorithm is used to optimize particle swarm optimization algo-rithm(PSO)which is used to optimize the scheduling scheme of CHCHP system with microgrid.The proposed algorithm solves the shortcomings of particle swarm optimization algorithm,such as falling into local optimum easily and slow conver-gence speed.The proposed algorithm is tested by function simulation,and the comparison results verify the reliability of the proposed method.Comparing with the traditional particle swarm optimization and other existing schemes,the environmental cost and economic cost of the proposed scheme are the lowest,which verifies the effectiveness of the proposed method.

关键词

冷热电联供/麻雀算法/粒子群

Key words

combined cooling heating and power supply/sparrow search algorithm/particle swarm optimization

引用本文复制引用

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
参考文献量14
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