葛海麟, 陈皓勇, 刘飞. 基于遗传算法的区域电力和供热系统优化[J]. 南方能源建设, 2017, 4(1): 25-30,37. DOI: 10.16516/j.gedi.issn2095-8676.2017.01.004
引用本文: 葛海麟, 陈皓勇, 刘飞. 基于遗传算法的区域电力和供热系统优化[J]. 南方能源建设, 2017, 4(1): 25-30,37. DOI: 10.16516/j.gedi.issn2095-8676.2017.01.004
Hailin GE, Haoyong CHEN, Fei LIU. Optimization of District Electricity and Heating System Based on Genetic Algorithm[J]. Southern Energy Construction, 2017, 4(1): 25-30,37. DOI: 10.16516/j.gedi.issn2095-8676.2017.01.004
Citation: Hailin GE, Haoyong CHEN, Fei LIU. Optimization of District Electricity and Heating System Based on Genetic Algorithm[J]. Southern Energy Construction, 2017, 4(1): 25-30,37. DOI: 10.16516/j.gedi.issn2095-8676.2017.01.004

基于遗传算法的区域电力和供热系统优化

Optimization of District Electricity and Heating System Based on Genetic Algorithm

  • 摘要: 电力系统与供热、天然气等系统之间的互联及耦合越切紧密,从区域电力和供热系统的协调优化角度出发,通过建立电力系统与供热系统的数学模型,以总能量损失最小为目标,结合系统的等式及不等式约束,构建了基于遗传算法的区域电力和供热系统优化模型。以某区域电力和供热系统为研究对象,利用上述优化模型进行建模和分析,验证了基于遗传算法的区域电力和供热系统优化模型的实用性及有效性。研究内容为区域电力和供热系统运行优化奠定了基础。

     

    Abstract: Interconnection and coupling between electric power system and heating, natural gas system have become increasingly close. From the point of view of coordinated optimization of district electricity and heating system, through the establishment of mathematical model of power system and heating system, with the goal of total energy loss reaches the minimum, with equality and inequality constraint system, the optimization model of district electricity and heating system based on genetic algorithm is constructed in this paper. Taking a district electricity and heating system as the research object, using the above optimization model to model and analyze, the practicability and validity of the optimization model of district electricity and heating system based on genetic algorithm are verified. In this paper, the research content lays the foundation for the operation optimization of district electricity and heating system.

     

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