计及运行风险和备用可用性的含风电系统两阶段优化调度

Two-stage optimal dispatch for wind power integrated power system considering operational risk and reserve availability

针对风电和负荷的不确定性对系统日前调度的影响,提出一种计及运行风险和备用可用性的日前两阶段优化调度方法。首先,考虑风电和负荷的不确定性及容许误差区间,利用条件风险价值(Conditional Value-at Risk,CVaR)度量系统调度运行风险。然后,建立日前两阶段优化调度模型。其中第一阶段优化模型以包含风险成本的系统运行成本最小为目标函数,优化制定有功调度及备用计划,保证系统运行经济性。基于第一阶段优化结果生成极限潮流场景集,第二阶段优化模型校验极限场景下的备用可用性并将结果反馈至第一阶段模型,确保系统运行鲁棒性,并提出迭代求解算法。最后,以IEEE39节点系统和实际区域电网为算例验证了该方法的可行性和有效性。

The uncertainty of wind power and load has an impact on the day-ahead dispatch of the system.Thus a day-ahead two-stage scheduling method considering the operational risk and reserve availability is proposed.First,considering the uncertainty and admissibility error interval of wind power and load,the conditional value at risk(CVaR)is applied to measure the system operational risk.A day-ahead two-stage optimal dispatching model is established.The first stage optimization model takes the minimum operation cost of the system including risk cost as the objective function and optimizes the active power dispatching and reserve plan to ensure system operation economy.Based on the optimization results of the first stage model,an extreme power flow scenario set is generated.Then,the reserve availability under the extreme scenarios is verified by the second stage optimization model,and the results are fed back to the first stage model to ensure the robustness of the system.An iterative algorithm is proposed.Finally,case studies on the IEEE 39-bus system and the actual regional power grid in Xinjiang demonstrate the feasibility and effectiveness of the proposed method and mode.