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Title
Research on integrated energy system planning optimization based on multi-objectivegenetic algorithm
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作者
荣以平张爱群刘继彦鞠文杰唐晓光徐小龙
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Author
Rong Yiping;Zhang Aiqun;Liu Jiyan;Ju Wenjie;Tang Xiaoguang;Xu Xiaolong
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单位
国网山东省电力公司枣庄供电公司国网山东省电力公司
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Organization
State GridZaozhuang Power Supply Company
State Grid Shandong Electric Power Company
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摘要
针对综合能源系统在满足系统内多元化用能需求的同时如何有效提升能源利用效率,进而促进能源可持续发展等问题,首先建立包括光伏、CCHP、储能电池、蓄冰槽在内的约束条件和出力模型,CCHP采用动态能效模型,建立了包括投资成本、维护成本、碳排放成本在内的经济性模型,建立了包括电能质量在内的能效模型,考虑了包括单位建筑面积等在内的建设约束条件,再采用遗传优化算法对设备容量进行规划优化,最后以某园区为例,在分析其实际园区经济发展情况、区域特征、能源供应情况、资源禀赋及其负荷特性之后,对系统多能耦合情况进行分析,基于多目标遗传算法对园区综合能源息系统进行规划,用TOPSIS方法进行排序得出最优方案。本研究提出的规划优化方法能有效配置设备容量,为用户节约成本,为电网降低压力,减少碳排放,提高用电可靠性。
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Abstract
Aiming at how to effectively improve the energy utilization efficiency of the integrated energy system to meet the diversifiedenergy needs of the system and promote the sustainable development of energy, this paper firstly establishes the constraints and powermodel including photovoltaic, CCHP, energy storage battery, ice storage tank, establishes the economic model including investment cost,maintenance cost and carbon emission cost, establishes the energy efficiency model including power quality, considers the constructionconstraints including unit building area, and then uses genetic optimization algorithm to plan and optimize the capacity of the equipment.The energy efficiency model including power quality, the construction constraints including unit floor area, etc. are considered, and thenthe genetic optimization algorithm is used to plan and optimize the equipment capacity. Finally, taking a certain park in Shenzhen as anexample, after analyzing the economic development of the actual park, the regional characteristics, the energy supply, the resourceendowment, and its load characteristics, the multi-energy coupling of the system is analyzed, and the integrated energy information systemin the park is planned based on the multi-objective genetic algorithm, with the use of TTG, which is a multi-objective genetic algorithm.Based on the multi-objective genetic algorithm, the integrated energy information system of the park is planned, and the optimal scheme isranked by the TOPSIS method. The planning and optimization method proposed in this paper can effectively configure equipment capacity,save costs for users, reduce pressure on the power grid, reduce carbon emissions, and improve the reliability of electricity consumption.
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关键词
综合能源系统规划优化动态能效模型遗传算法
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KeyWords
integrated energy system; planning optimization; dynamic energy efficiency model; genetic algorithm
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基金项目(Foundation)
国网山东省电力公司科技资助项目(520610200010)