面向电网辅助服务的虚拟储能电厂分布式优化控制方法

Distributed Optimization Control Method of Virtual Energy Storage Plants for Power Grid Ancillary Services

虚拟储能电厂是实现大规模分布式储能并网的有效手段。构建了协同用户侧储能单元的分布式控制方法,使得虚拟储能电厂既可满足电网运营商的实时功率请求,又能够为配电网提供局部电压支持,有效参与电力系统辅助服务。该控制方法基于分布式优化算法,利用了一类对偶一致性交替方向乘子法,实现了所建立模型预测控制问题的完全分布式求解,能快速协调分布式储能,平抑可再生能源出力波动对电网影响。基于IEEE 33节点与119节点系统的仿真算例验证了虚拟储能电厂与该分布式模型预测控制策略的有效性。

The virtual energy storage plant is an effective means to realize the integration of large-scale distributed energy storage.A distributed control framework coordinating energy storage units at the end-user side is proposed.The framework enables the virtual energy storage plant to meet the real-time power request of power grid operators,and provides local voltage support to the distribution network in the meanwhile to effectively participate in the ancillary services of the power system.The proposed control method is based on the distributed optimization method.A dual consensus alternating direction method of multipliers(ADMM)is employed,which yields a fully distributed solution to the proposed model predictive control(MPC)problem and can be used to rapidly coordinate distributed energy storage to mitigate the impacts of renewable energy output fluctuation on power grids.The simulation studies based on the IEEE 33-bus system and 119-bus system demonstrate the effectiveness of virtual energy storage plants and distributed MPC strategy.