摘要
主动配电网中储能运行过程具有明显的时序特性,尤其在细分运行时段或考虑储能组数配置的优化问题中,决策变量的维数急剧增加,加剧了模型问题求解难度。针对这一问题,提出一种对储能的能量状态(state of energy,SOE)进行Fourier-Legendre级数展开的容量优化方法。首先,通过Fourier-Legendre级数展开的方法建立储能的模型,优化展开项的系数,由此得储能SOE的连续化函数表达式。其次,考虑分布式电源(distributed generation,DG)出力不确定性,建立了同时以DG消纳和削峰填谷为目标的机会约束模型。由此,求解出主动配电网不同运行状况下储能充放电功率和储能电池容量。通过算例验证了所提方法的快速性和有效性,并分析了储能电池容量、风光渗透率、网络电压分布状况等的相互作用。
Operation of energy storage system exhibits significant sequential feature in active distribution network, possibly contributing to large increase of dimension of decision variables in optimization and difficult to solve, especially in optimization problem of subdivision operation period or in allocation problem. This paper proposes an optimization method based on Fourier-Legendre series expansion method in terms of the state of energy（SOE） of energy storage system.Firstly, energy storage model is built based on Fourier-Legendre series expansion method, and coefficients of the expansion term are optimized, so that detailed SOE formulation can be obtained. Secondly, considering uncertain output of distributed generations（DGs）, a chance-constrained programming model is also developed, aiming at peak shaving and maximized DG adoption. Thus, charging power and capacity of the energy storage system would be obtained in different operational conditions of active distribution network. High speed and effectiveness of the proposed method are verified with test cases. Interactive relationships between capacity allocation of the energy storage system, penetration of wind or solar DG, voltage profile, etc. are analyzed.
出处
《电网技术》
EI
CSCD
北大核心
2017年第4期1123-1131,共9页
Power System Technology
基金
国家高技术研究发展计划(863计划)项目(2014AA051901)~~
