中国电机工程学报Issue(1)：138-145,8.DOI:10.13334/j.0258-8013.pcsee.2014.01.016
考虑大停电风险的输电网扩展规划模型和算法
A Model and Algorithm for Transmission Expansion Planning Considering the Blackout Risk
摘要
Abstract
According to self-organized criticality (SOC) theory, a model and its solving algorithm for transmission expansion planning (TEP) considering the blackout risk was proposed. Based on traditional TEP model, the proposed algorithm added the risk indices of expected load loss (ELL) and power-law tail risk (PTR) to analyze the reliability of TEP plans from multiple perspectives. The solving algorithm includes two stages, the first one employed the improved multi-objective particle swarm optimization (MOPSO) algorithm to select the candidate plans; the second one calculated the risk indices of these plans and sorted them by Pareto optimality based on all the assessment indices. The improved MOPSO algorithm, adopting the strategies of limited-capacity elite archive and probability selection of global guiders, effectively traded off the solutions diversity and the global convergence speed. Example analyses indicate that the proposed method is feasible and effective; PTR is an effective supplement to other risk indices, considering PTR in TEP helps to reduce the plans’ blackout risk;the blackout risk does not always decrease with investment increasing, but it can be achieved by the optimization algorithm that a small amount of increasing investment can efficiently decrease the blackout risk.关键词
输电网扩展规划/风险指标/自组织临界性/双层优化/帕累托最优/粒子群优化算法Key words
transmission expansion planning (TEP)/risk index/self-organized criticality/bi-level optimization/Pareto optimality/particle swarm optimization (PSO) algorithm分类
信息技术与安全科学引用本文复制引用
曹一家,曹丽华,黎灿兵,李欣然,于力..考虑大停电风险的输电网扩展规划模型和算法[J].中国电机工程学报,2014,(1):138-145,8.基金项目
国家自然科学基金项目(51137003)；国家自然科学基金面上项目(50977022)。@@@@Project Supported by National Natural Science Foundation of China (51137003) （51137003）
Project Supported by National Natural Science Foundation Surface of China (50977022) （50977022）
