负荷高密度地区中计及灵活性不足风险的储能优化配置

Optimal Configuration of Energy Storage Considering the Risk of Insufficient Flexibility in High Load Density Areas

负荷高密度地区现有的输电通道有限且系统内灵活性电源的占比较低,应对源端可再生能源及荷端负荷需求随机性波动的调节能力不足。储能系统(energy storage system,ESS)作为一种高效的灵活性资源,具有响应的快速性和功率双向转化的优点,可以为电力系统提供灵活性支撑,基于双层规划模型建立了提升负荷高密度地区整体和局部灵活性的储能优化配置方法,上层模型对储能配置方案做出战略决策,下层模型基于场景分析法,对典型日场景进行运行模拟,使用条件风险价值(conditional value at risk,CVaR)量化灵活性不足风险成本,模型充分地考虑了电力供需平衡、新能源消纳以及网架结构的支撑作用,通过添加关联约束将双层模型转化为单层模型。最后通过MATLAB平台调用商用软件包GUROBI完成混合整数规划优化,求解得到最优配置方案。在某实际系统负荷高密度地区中验证了配置方法的有效性。

The existing transmission channels in high load density areas are limited and the proportion of flexible power sources in the system is low,so the adjustment ability to deal with the random fluctuation of renewable energy at the source end and load demand at the load end is insufficient.As an efficient flexible resource,energy storage system(ESS) has the advantages of fast response and two-way power conversion,which can provide flexible support for power system.Based on the bi-level programming model,this paper establishes an energy storage optimization configuration method to improve the overall and local flexibility of high-density load areas.The upper model makes strategic decisions on the configuration scheme of energy storage.The lower layer model simulates the operation of typical daily scenarios based on scenario analysis and uses CVa R to quantify the risk cost of insufficient flexibility.The model fully considers the balance of power supply and demand,new energy consumption and the supporting role of grid structure.The double-layer model is transformed into a single-layer model by adding association constraints.Finally,the commercial software package GUROBI is called through the MATLAB platform to complete the mixed integer programming optimization,and the optimal configuration scheme is obtained.The effectiveness of the configuration method is verified in a high load density area of an actual system.