含风电的多种形式储能协调调度多目标优化模型

随着大规模储能的日渐广泛应用,其灵活的出力调节能力为含大规模风电接入的电网优化调度运行提供了解决思路。针对电力系统中储能以电源侧、电网侧以及用户侧等多种形式并存的情况,提出多种形式储能协调调度多目标优化模型。该模型考虑风储一体化电站、电网侧电池储能电站和电动汽车参与系统调度运行,深入挖掘多种形式储能的互补调节能力,促进风电消纳；电池储能电站面向电网调控运行,在参与系统调峰的同时提供备用,充分利用储能的可调空间优化系统运行。考虑到不同形式储能的利益主体不同,构建以风储一体化电站上网收益最大、系统总运行成本最小、电动汽车车主支付费用最小的多目标优化调度模型。最后基于十机算例系统的仿真实验说明：所提模型能兼顾各形式储能投资主体的利益,提高风电的消纳能力。

Multi-objective optimization model for multi-form energy storage coordinated scheduling with wind power

With the increasing application of large-scale energy storage, its flexible output adjustment capability provides a solution for the optimal operation of the grid with large-scale wind power access. Aiming at the coexistence of energy storage in the power system in the form of power supply side, grid side and user side, a multi-objective optimization model of energy storage coordinated scheduling is proposed. The model considers the wind-storage integrated power station, the grid side battery energy storage power station and the electric vehicle to participate in the system dispatching operation, and deeply excavates the complementary regulating capacity of various forms of energy storage to promote wind power consumption; the battery energy storage power station faces the power grid dispatches operation, provides reserve while participating in system peak shaving, and makes full use of the adjustable space of energy storage to optimize system operation. Considering the different interests of different forms of energy storage, a multi-objective optimal scheduling model with the largest revenue from the wind-storage integrated power station, the lowest total operating cost, and the lowest payment cost for electric vehicle owners is constructed. Finally, based on the simulation experiment of the ten-machine example system, the proposed model can consider the interests of all forms of energy storage investment entities and improve the capacity of wind power.