| 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 |
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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 |
