潘华, 梁作放, 肖雨涵, 綦浩楠, 薛淑姣, 薛强中. 多场景下区域综合能源系统的优化运行[J]. 太阳能学报, 2021, 42(1): 484-492. DOI: 10.19912/j.0254-0096.tynxb.2018-0822
引用本文: 潘华, 梁作放, 肖雨涵, 綦浩楠, 薛淑姣, 薛强中. 多场景下区域综合能源系统的优化运行[J]. 太阳能学报, 2021, 42(1): 484-492. DOI: 10.19912/j.0254-0096.tynxb.2018-0822
Pan Hua, Liang Zuofang, Xiao Yuhan, Qi Haonan, Xue Shujiao, Xue Qiangzhong. OPTIMAL OPERATION OF REGIONAL INTEGRATED ENERGY SYSTEM UNDER MULTIPLE SCENES[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 484-492. DOI: 10.19912/j.0254-0096.tynxb.2018-0822
Citation: Pan Hua, Liang Zuofang, Xiao Yuhan, Qi Haonan, Xue Shujiao, Xue Qiangzhong. OPTIMAL OPERATION OF REGIONAL INTEGRATED ENERGY SYSTEM UNDER MULTIPLE SCENES[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 484-492. DOI: 10.19912/j.0254-0096.tynxb.2018-0822

多场景下区域综合能源系统的优化运行

OPTIMAL OPERATION OF REGIONAL INTEGRATED ENERGY SYSTEM UNDER MULTIPLE SCENES

  • 摘要: 该文构建含风、光、气、网联合供电、供热(冷)的综合能源系统调度模型,调度模型以综合能源系统成本最小为目标函数,以供电平衡、供热(冷)平衡及微型燃气轮机运行等为约束条件。根据"以热定电"与"以电定热"模式在夏冬季节的运行设定4种场景,分别运用布谷鸟搜索算法对4种场景下的调度模型进行求解,得到在4种场景下区域综合能源系统各参与方的出力,并对比分析4种场景下区域综合能源系统的运行成本。最后,采用传统的粒子群算法、遗传算法对模型进行求解,并与布谷鸟搜索算法所求结果进行对比分析。仿真结果验证了所提模型和算法的有效性及优越性,得到更适合的运行策略,为区域综合能源系统的经济调度提供了新的方法和途径。

     

    Abstract: The integrated regional energy system,which is composed of electric/gas/heat/cold and other energy sources,can unify the planning and dispatching of grid power,natural gas and distributed energy,and realize the complementary advantages of different energy sources,it is the important direction of future energy system development. The scheduling model of the integrated regional energy system was built,which contains wind,light,gas,electricity,heat,and cold. The model takes the minimum cost of the integrated energy system as the objective function subjected to the power supply,heat(cold)supply balance and operation of micro gas turbine.According to the "thermal power setting" and "electricity fixed heat" modes,four scenarios are set in the summer and winter seasons,the scheduling model is solved under the four scenes by using the cuckoo search algorithm to obtain the output of each participant in the integrated regional energy system under the four scenarios,and the operation cost of the regional integrated energy system under the four scenarios is compared and analyzed. Finally,the model is solved by traditional particle swarm optimization and genetic algorithm,and the results are compared with those obtained by cuckoo search algorithm. The results demonstrate the validity of the proposed model and algorithm,and get a more suitable running strategy,which provides a new method and approach for the economic dispatch of the regional integrated energy system.

     

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