引用本文: | 徐 凯,陈宏伟,孙 可,江全元,丁晓宇,郑朝明.基于两阶段双层多目标粒子群优化算法的输变电工程立项决策[J].电力自动化设备,2014,34(9): |
| XU Kai,CHEN Hongwei,SUN Ke,JIANG Quanyuan,DING Xiaoyu,ZHENG Chaoming.Decision-making based on two-stage bi-level multi-objective particle swarm optimization algorithm for power transmission and transformation project approval[J].Electric Power Automation Equipment,2014,34(9): |
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摘要: |
建立输变电工程两阶段多目标决策评价模型,该模型包括立项和决策2个阶段,以及电网的安全性、经济性、环境友好性、适应性和协调性5个指标;提出双层多目标粒子群优化算法,求解模型的Pareto最优解,最后用综合评价方法选出最优实施方案。算例分析结果验证所提模型的正确性和有效性。 |
关键词: 输变电工程 决策 模型 双层多目标粒子群优化 优化 综合评价 |
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基金项目:国家自然科学基金资助项目(51137003);教育部博士点基金资助项目(20120101110081) |
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Decision-making based on two-stage bi-level multi-objective particle swarm optimization algorithm for power transmission and transformation project approval |
XU Kai1, CHEN Hongwei2, SUN Ke3, JIANG Quanyuan1, DING Xiaoyu2, ZHENG Chaoming3
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1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;2.Zhejiang Provincial Electric Power Design Institute,Hangzhou 310012,China;3.State Grid Zhejiang Electric Power Corporation,Hangzhou 310007,China
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Abstract: |
A two-stage multi-subject decision-making model is built for the approval of power transmission and transformation projects and the determination of implementation scheme,which includes two stages (project approval,decision-making) and five indices(security,economy,environmental friendliness,adaptability,coordination). A two-stage multi-objective particle swarm optimization algorithm is proposed to calculate the optimal Pareto solution of the model. A comprehensive evaluation method is adopted to select the optimal implantation scheme. Case study demonstrates the validity and effectiveness of the proposed model. |
Key words: power transmission and transformation project decision making models bi-level multi-objective particle swarm optimization optimization comprehensive evaluation |