考虑大停电风险的输电网扩展规划模型和算法

发布时间：2018-06-10 20:49

本文选题：输电网扩展规划 + 风险指标　；参考：《中国电机工程学报》2014年01期

【摘要】：基于自组织临界理论提出了一种考虑大停电风险的电网规划模型及其求解算法。该模型在传统规划模型的基础上,增加了预期负荷损失和幂率尾风险(power-law tail risk,PTR)等风险指标,从多个角度分析规划方案的可靠性。求解算法分为2个阶段,首先利用改进的粒子群(multi-objective particle swarm optimization,MOPSO)算法初步筛选出待选方案集;然后计算待选方案的风险指标,综合所有评估指标利用帕累托最优原则排序。改进的MOPSO算法采用有限容量精英库和全局引导者概率选择机制,有效平衡解的多样性和全局收敛速度。算例分析表明:所提方法可行有效;PTR是其他风险指标的有效补充,在电网规划中考虑PTR有利于降低规划方案的大停电风险;大停电风险并不总是随投资费用的增加而降低,利用优化算法可实现用少量增加的投资费用有效降低大停电风险。
[Abstract]:Based on the self-organizing criticality theory, a power network planning model and its solution algorithm considering the risk of blackout are proposed. Based on the traditional programming model, this model increases the expected load loss and power-rate tail risk, such as power-law tail risk, and analyzes the reliability of the planning scheme from several angles. The algorithm is divided into two stages. Firstly, the improved PSO multi-objective particle swarm optimization method is used to select the set of the alternatives, and then the risk index of the proposed scheme is calculated, and the Pareto optimal principle is used to sort all the evaluation indexes. The improved MOPSO algorithm uses a finite capacity elite library and a global guide probability selection mechanism to effectively balance the diversity of solutions and the global convergence rate. The example analysis shows that the proposed method is an effective supplement to other risk indicators. Considering PTR in power network planning is beneficial to reduce the blackout risk of the planning scheme, and the blackout risk does not always decrease with the increase of investment cost. By using the optimization algorithm, the risk of blackout can be effectively reduced with a small increase in investment cost.
【作者单位】：湖南大学电气与信息工程学院;
【基金】：国家自然科学基金项目(51137003);国家自然科学基金面上项目(50977022)~~
【分类号】：TM715

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