Decision-making based on two-stage bi-level multi-objective particle swarm optimization algorithm for power transmission and transformation project approval

被引：0
|
作者：
机构：
[1] Xu, Kai
[2] Chen, Hongwei
[3] Sun, Ke
[4] Jiang, Quanyuan
[5] Ding, Xiaoyu
[6] Zheng, Chaoming
来源：
Xu, Kai | 1600年 / Electric Power Automation Equipment Press卷 / 34期
关键词：
Power transmission - Particle swarm optimization (PSO) - Multiobjective optimization;
D O I：
10.3969/j.issn.1006-6047.2014.09.019
中图分类号：
学科分类号：
摘要：
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.
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