计及多灵活性资源的虚拟电厂两阶段鲁棒优化调度方法

A Two-stage Robust Optimal Scheduling Method for Virtual Power Plants Taking into Account Multi-flexibility Resources

针对内蒙古地区风电消纳和深度调峰问题,提出一种基于两阶段鲁棒优化的聚合多种灵活性资源的虚拟电厂双层优化控制策略。首先,以虚拟电厂在调度周期内收益最大为目标,同时充分考虑火电机组深度调峰带来的成本和利润,依据风电出力、负荷预测数据构建上层模型;其次,在下层模型中,以虚拟电厂运行成本最小为目标,针对风电出力、负荷的不确定性带来的风险,引入鲁棒优化控制,根据相关系数的调节,得到不同保守度下虚拟电厂的收益,并根据调度周期内获取的收益情况进行实时修正。仿真结果表明:虚拟电厂聚合深度调峰燃煤机组(Deep Peaking Coal Fired Units,DPCFU)后,相比于只参与常规调峰机组的虚拟电厂增加17.42万元收益;虚拟电厂以较小的运行风险获取较大的利益;本文提出的双层控制策略在收益最大的基础上最小化运行成本,同时可以根据不同的鲁棒系数提供不一样的调度方案。

A two-stage robust optimization-based dual-layer optimal control strategy for virtual power plant aggregating multiple flexibility resources were proposed for wind power consumption and deep peaking in Inner Mongolia region.First,an upper-layer model was constructed based on wind power output and load forecast data with the goal of maximizing the revenue of the virtual power plant during the dispatching cycle,while taking into full consideration the cost and profit brought by the deep peaking of thermal power units.Second,in the lower-layer model,with the goal of minimizing the operating cost of the virtual power plant,the risk brought by the uncertainty of wind power output and load was fully considered,and the revenue of the virtual power plant under different degrees of conservatism was obtained by introducing robust optimization control according to the adjustment of the correlation coefficient.The simulation results show that after the proposed power plant aggregates the deep peaking coal fired units(DPCFU),the virtual power plant revenue increases by 174200 yuan compared with that only participating in the conventional peak load unit.The virtual power plant can obtain greater benefits with less operation risk.In addition,the two-layer control strategy proposed in this paper can minimize the operation cost on the basis of obtaining the maximum benefits.At the same time,different scheduling schemes can be provided according to different robustness coefficients.