风储联合系统爬坡事件的日前能量最优平抑方法

An Event-based Day-ahead Energy Optimization Method to Smooth Ramp Events of Combined Wind Storage Systems

随着风能大规模集中接入电网,剧烈功率变化引起的风电爬坡事件对电力系统安全稳定运行带来的影响日益明显。为平抑高风险爬坡事件,该文基于事件优化理论,综合考虑功率和能量平衡,提出风储联合系统日前能量最优平抑策略。首先,定义给定时间间隔内的能量型风电爬坡事件;然后,建立日前爬坡事件的优化平抑模型,引入价值函数,研究事件偏差、抽水蓄能机组动作特性的动态行为;提出基于Q因子的事件优化问题求解方法;最后,根据实际风电场数据,对比分析即时收益和24h日前收益两种平抑策略的有效性。结果表明,日前能量事件平抑方法可以有效平抑风电爬坡事件,保证了风储联合系统输出能量的平稳性。

With the large scale of wind energy connected to power grid, the impact of wind power ramp events on the power system security and stability is increasing. In this paper, an event-based optimization(EBO) strategy to smooth the wind power ramp events considering of power and energy constrains in combined wind storage systems with pumped storage power station was proposed. Firstly, the energy-based ramp event was defined. Then, the optimal model for smoothing wind power ramp events was established, which took into account the event deviation and action characteristic. By using EBO, the solution method of the strategy based on event Q-factor was proposed. The relevant strategies under the real-time profit and 24 h day-ahead profit conditions were compared. Finally, a test case was developed based on a practical wind farm data to verify the effectiveness of the proposed method. The simulation results show that the EBO algorithm can smooth the wind energy ramp events, and ensure the stationarity of the output energy of the combined system.