基于惯性矩最优分位点的主动配电网资源优化配置  

Optimal Allocation of Resources for Active Distribution Network Based on Optimal Quantiles of Moment of Inertia

作　　者：李斌[1] 滕予非[2] 吕林[1] 刘友波[1] 羊静 

机构地区：[1]四川大学电气信息学院,四川成都610065 [2]国网四川省电力公司电力科学研究院,四川成都610072 [3]国网四川节能服务有限公司,四川成都610021

出　　处：《四川电力技术》2017年第4期8-13,共6页Sichuan Electric Power Technology

基　　金：国家高技术发展研究计划(863项目)(2014AA051901)

摘　　要：为了准确描述不可控资源的不确定性,提出了基于惯性矩的最优分位点将光伏-负荷连续概率密度函数离散为多状态模型。在光伏安装容量和配电网综合年费用指标的基础上,加入平衡节点有功波动指标,衡量配电网有功平稳运行能力。首先在上层规划不可控资源的最大安装容量,在下层为应对不可控资源的接入以及时序不确定性和波动性,优化配置可控资源,使其满足最小配电网综合年费用期望和平衡节点有功波动标准差。并提出了最短模糊距离的方法对多目标方案优选。采用改进的遗传算法对所提的模型求解,通过IEEE 33节点算例验证所提模型的有效性和合理性,同时提高了多状态模型的准确性和配电网有功平稳运行能力。In order to describe precisely the uncertainty of uncontrollable resources, continuous probability density function is transformed into discrete multi - states which is based on the optimal quantiles of inertia of moment. On the basis of photovol-taic access capacity and integrated cost of the distribution system, active power volatility is added which measures the capacity of active power smooth operation in distribution network. Maximum access capacity of uncontrollable resources are planned in the upper level and the lower level planning meets the minimum expectation of the integrated distribution system and standard deviation of active power fluctuation in balance bus. The shortest fzzuy distance is established to perfer multi - objective schemes. The model is solved by the improved genetic algorithm. IEEE 33 node example verifies the effectiveness and ration-ality of the proposed model which improves the accuracy of multi - states and active power smooth operation.

关 键 词：有功平稳运行 基于惯性矩的最优分位点 不可控-可控资源 不确定性 最短模糊距离 

分 类 号：TM715[电气工程—电力系统及自动化]