| 引用本文: | 李响,白首华,付金光,等.中压配网接线模式的GA-Pareto优选模型[J].电力系统保护与控制,2018,46(21):63-68. |
| LI Xiang,BAI Shouhua,FU Jinguang,et al.GA-Pareto optimization model of mid-voltage distribution network connection mode[J].Power System Protection and Control,2018,46(21):63-68 |
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| 摘要: |
| 10 kV中压接线模式的选择受负荷密度、投资、可靠性等因素影响，是配电网规划与改造的关键。在不同负荷密度条件下，根据接线单元的供电能力确定所需数量。考虑多种因素对接线模式的投资成本和可靠性影响，结合用户停电损失综合函数，将可靠性与经济性进行属性转化。为了得到Pareto最优解，以影响接线模式的经济性、可靠性的线路参数建立初始种群，采用遗传算法(GA)，以供电总成本最低为目标，获得任意负荷密度下的Pareto最优解集，从而建立中压接线模式的GA-Pareto优选模型。该理论已应用于中部某城市，为该市配电网建设提供理论依据。 |
| 关键词: 接线模式 负荷密度 可靠性 经济性 遗传算法 |
| DOI：10.7667/PSPC171737 |
| 分类号: |
| 基金项目:国家重点研发计划资助(2017YFB0902800);河南省科技攻关项目(182102210112);河南省基础与前沿技术研究计划项目(132300410185) |
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| GA-Pareto optimization model of mid-voltage distribution network connection mode |
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LI Xiang1,BAI Shouhua1,FU Jinguang2,FAN Jianye3,HU Tiantong1,SONG Qipeng4
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(1. Zhengzhou University of Aeronautics, Zhengzhou 450015, China;2. State Grid Hebi Electric Power Company, Hebi 458000, China;3. China Electric Power Equipment and Technology Co., Ltd., Beijing 100052, China;4. China Electric Power Research Institute, Beijing 100192, China)
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| Abstract: |
| The selection of 10 kV mid-voltage connection modes, which is the key to planning and transformation of distribution network, is affected by load density, investment, stability, etc. Under the condition of different load density, the connection unit capacity determines the required quantity. Considering the impact of many factors on investment cost and connection mode reliability, and combining the comprehensive function of user’s power outage loss, the economy and reliability can be transferred between each other. The line parameters which impact the economy and reliability of connection mode are adopted as the initial group, the genetic algorithm is used, and the power supply’s lowest total cost is taken as objective, to obtain the Pareto optimal solution set of any load density. Thus the GA-Pareto optimization model is established for mid-voltage connection mode. The model has been applied in a city in the central China, which supplies theoretical basis for the construction of distribution network of this city. This work is supported by National Key Research and Development Program of China (No. 2017YFB0902800), Science and Technology Key Project of Henan Province (No. 182102210112) and Basic and Frontier Technology Research Project of Henan Province (No. 132300410185). |
| Key words: connection mode load density reliability economy genetic algorithm |
