源荷协同下计及电转氢和电动汽车的含风电配网日前优化调度

Day-Ahead Optimal Dispatch of Wind Power Distribution Network with P2H and EVs in Consideration of Source-Load Coordination

高比例可再生能源接入,其固有的间歇性使得消纳问题日益突出。电转氢和电动汽车是实现节能减排的重要技术,作为灵活性资源参与电网优化调度,有利于可再生能源消纳。提出了一种计及电转氢和电动汽车的含风电配网日前优化调度模型,首先基于电转氢和电动汽车的储能特性和可调特性建立模型,实现负荷特性改善;其次结合系统风电消纳和削峰填谷需求,提出一种基于功率值和功率变化率的分时调度成本模型,形成了源荷协同的灵活性资源控制策略;最后建立了以经济性最优为目标的含风电配网日前调度模型。在改进的IEEE33节点配电网系统中开展仿真验证,结果表明本文所提出的调度方法可以有效降低系统调度总成本和负荷峰谷差,促进风电消纳。

Due to the inherent intermittence of the high proportion of renewable energy,the problem of consumption has become increasingly prominent.Electric to hydrogen and electric vehicles are important technologies for achieving energy conservation and emission reduction,and participate in grid optimization and dispatch as flexible resources,which are beneficial for the consumption of renewable energy.In this paper,a day-ahead optimal dispatch model of wind power distribution network with P2H and EVs in consideration of source-load coordination is proposed.Firstly,a model based on the energy storage and adjustable characteristics of electric to hydrogen and electric vehicles is established to realize the improvement of load characteristics.Secondly,combining the demand for wind power consumption and peak shaving and valley filling in the system,a dynamic time-sharing cost model based on power value and power change rate is proposed,and a flexible resource control strategy of source-load coordination is formed.Finally,a day-ahead dispatch model of distribution network with wind power is established,which aims at economic optimization.The simulation experiment in the modified IEEE 33-bus distribution network system shows that the proposed dispatch method can ef-fectively reduce the total system scheduling cost and load peak-valley difference,and address wind power consumption.