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基于综合评价指标的综合能源系统优化运行

Optimization operation of integrated energy system based on comprehensive evaluation index
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摘要 随着绿色低碳发展观念日益深入,构建包含可再生能源在内的综合能源系统是解决能源短缺、降低环境污染的有效途径。借助电转气、燃气轮机、燃气锅炉等设备实现能源间的耦合,引入需求响应机制与碳交易机制,搭建了电-热-气综合能源系统架构。同时为更加科学、全面地优化系统运行,建立了基于层次分析法决策体系的综合能源系统综合评价指标运行优化模型,计及经济、环境、能源3个方面,采用基于Tent混沌映射与精英反向学习策略改进的麻雀搜索算法求解,得到调度时段内各设备最优配置方案。仿真结果验证了构建的系统、综合评价指标的合理性。 With the deepening of the concept of green and low-carbon development, building an integrated energy system including renewable energy is an effective way to solve the energy shortage and reduce environmental pollution.The coupling of energy sources is realized by means of power to gas, gas turbine, gas boiler, demand response mechanism and carbon trading mechanism have been introduced to build an electric-heat-gas integrated energy system architecture.At the same time, in order to optimize the system operation more scientifically and comprehensively, the operation optimization model of the comprehensive evaluation index of the integrated energy system based on the analytic hierarchy process decision-making system is established, which includes three aspects of economy, environment and energy.The improved sparrow search algorithm based on Tent chaos mapping and elite reverse learning strategy is used to solve, the optimal configuration scheme of each equipment in the scheduling period is obtained.Simulation results verify the rationality of the system and comprehensive evaluation indexes constructed.
作者 李畸勇 姚翼鹏 刘斌 LI Ji-yong;YAO Yi-peng;LIU Bin(School of Electrical Engineering,Guangxi University,Nanning 530004,China)
出处 《广西大学学报(自然科学版)》 CAS 北大核心 2022年第6期1518-1531,共14页 Journal of Guangxi University(Natural Science Edition)
基金 国家自然科学基金项目(61863003)。
关键词 综合评价指标 改进麻雀搜索算法 需求响应 碳交易 层次分析法 comprehensive evaluation index improved sparrow search algorithm demand response carbon trading analytic hierarchy process
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