含储能虚拟电厂接入配电网的联合优化调度

为解决不确定性能源发电给配电网带来的隐患和经济性问题,研究含间歇分布式能源的虚拟电厂(virtual pow er plant,VPP)接入配电网的联合优化调度对提高系统安全和促进新能源消纳具有十分重要的意义。综合考虑风电及储能的运行特性,提出一种改进的Buckets方法,建立了考虑风电不确定性和含储能的虚拟电厂参与配电网调度的优化机组组合模型,基于6节点系统研究了改进的Buckets方法对发电成本和机组组合的影响。与传统Buckets方法相比,采用所提方法使得模型的发电成本及开机时段减少,表明该方法能够实现发电成本最优、风电的充分消纳以及储能的灵活运用。

Joint Optimal Dispatch for Power Distribution Network with Energy Storage Virtual Power Plant

To solve the challenges and economic problems of power distribution network caused by the uncertainty of the energy, it is very important to study the model of the joint optimal dispatch unit commitment of the virtual power plant (VPP) integrated with intermittent distributed energy to improve the operation security and the utilization of new energy.This paper proposes an improved Buckets method considering the operation characteristics of wind power and energy storage, and establishes an optimal unit commitment model of power distribution network, taking into account the uncertainty of the wind power and VPP with energy storage system.Based on the 6-node system, this paper studies the impact of the improved Buckets method on the cost of power generation and unit commitment.Compared with the traditional Buckets method, the proposed method can reduce the generation cost and starting up time of the model, which shows that the method can realize the optimal cost, the full use of wind power and the flexible use of energy storage.