计及可再生能源不确定性的储能系统优化配置方法研究

Research on Optimization Configuration Method of EnergyStorage System Considering Uncertainty of Renewable Energy

为减少配电网的功率损耗,提升系统的可靠性和灵活性,提出了计及可再生能源不确定性的的储能系统多目标优化配置方法。首先,通过概率密度函数对光伏、风电等可再生能源的不确定性进行了分析,并基于可再生能源的不确定性构建储能系统优化配置模型;其次,提出改进海鸥优化算法求解优化配置模型,通过引入Logistic映射模型、非线性移动系数和局部收敛挖掘算子以克服传统算法中早熟收敛和局部最优问题;最后,在IEEE 14节点系统中进行案例分析。案例分析结果验证了所提模型的可行性和所提算法的有效性,配电网运行的可靠性和灵活性得到了有效的提高。

In order to reduce power loss in the distribution network and improve the reliability and flexibility of the system,a multi-objective optimization configuration method for energy storage systems considering the uncertainty of renewable energy was proposed.Firstly,the uncertainty of renewable energy such as photovoltaic and wind power was analyzed through probability density function,and based on the uncertainty of renewable energy,the optimal configuration model of energy storage system was constructed;secondly,an improved seagull optimization algorithm was proposed to solve the optimization configuration model.By introducing a Logistic mapping model,nonlinear moving coefficients,and local convergence mining operators,the problem of premature convergence and local optimization in traditional algorithms was overcome;finally,a case study was conducted in an IEEE 14 node system.The case analysis results validate the feasibility of the proposed model and the effectiveness of the proposed algorithm,thereby effectively improving the reliability and flexibility of the distribution network operation.