| 基于向量序优化算法的多目标多阶段电源扩展规划 |
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| 引用本文： | 郭 嘉.,贾祎轲,,谢景海,,卢诗华,,孙 密,,苏东禹,,李俊杰.基于向量序优化算法的多目标多阶段电源扩展规划[J].陕西电力,2020,0(4):84-90. |
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| 作者姓名： | 郭 嘉. 贾祎轲 谢景海 卢诗华 孙 密 苏东禹 李俊杰 |
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| 作者单位： | （1. 冀北电力有限公司经济技术研究院，北京，100038；2. 北京京研电力工程设计有限公司，北京，100038；3. 三峡大学电气与新能源学院，湖北省，宜昌市，443002） |
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| 摘 要： | 提出了一种基于向量序优化算法的多目标多阶段电源扩展规划方法。首先，将可靠性指标和环境指标纳入到常规的经济性电源规划模型，统筹考虑电源扩建中多方面的综合效益，构建多目标多阶段电源扩展规划模型；然后，利用向量序优化算法对模型进行求解，并基于隶属度函数确定最优规划方案；最后，基于仿真算例验证了本文方法的正确性和有效性。
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| 关 键 词： | 电源规划 多目标优化 向量序优化 隶属度函数 |
Multi-objective and Multi-stage Power Expansion Planning Based on Vector Order Optimization Algorithm |
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| GUO Jia,' target="_blank" rel="external">,JIA Yike,' target="_blank" rel="external">,XIE Jinghai,' target="_blank" rel="external">,LU Shihua,' target="_blank" rel="external">,SUN Mi,' target="_blank" rel="external">,SU Dongyu,' target="_blank" rel="external">,LI Junjie.Multi-objective and Multi-stage Power Expansion Planning Based on Vector Order Optimization Algorithm[J].Shanxi Electric Power,2020,0(4):84-90. |
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| Authors: | GUO Jia " target="_blank">' target="_blank" rel="external"> JIA Yike " target="_blank">' target="_blank" rel="external"> XIE Jinghai " target="_blank">' target="_blank" rel="external"> LU Shihua " target="_blank">' target="_blank" rel="external"> SUN Mi " target="_blank">' target="_blank" rel="external"> SU Dongyu " target="_blank">' target="_blank" rel="external"> LI Junjie |
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| Affiliation: | （1.State Grid Jibei Economic Research Institute， Beijing 100038，China； 2. Beijing Jingyan Electric Power Engineering Design Co. Ltd.，Beijing 100038，China； 3.College of Electrical Engineering & New Energy， China Three Gorges University， Yichang 443002，Chin |
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| Abstract: | A multi-objective and multi-stage power expansion planning method based on vector order optimization algorithm is proposed. Firstly， the reliability index and environment index are incorporated into conventional economic power planning model， and a multi-objective and multi-stage power expansion planning model is constructed by considering the comprehensive benefits of power expansion. Then， the model is solved by vector ordinal optimization algorithm，and the optimal planning scheme is determined based on membership function. Finally，the correctness and validity of the proposed method are verified by simulation examples. |
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| Keywords: | power planning multi-objective optimization vector order optimization membership function |
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