考虑风电随机性的微网多时间尺度能量优化调度

提出了考虑风电随机性的微网多时间尺度能量优化调度模型,实现了微网日前调度计划和实时调整之间的协调优化调度。该模型的日前调度部分以微网经济运行为目标,考虑风电出力的随机性,利用多场景方法提高了微网适应风电出力随机性的灵活性。在实时运行调整环节,利用响应速度较快的可控负荷消纳风电出力波动,使微网和外部电网的功率交换遵循日前调度计划,保证日前调度计划的有效性。该多时间尺度调度模型通过优化协调各种设备的运行,实现微网经济运行的同时,很好地消纳了风电随机性给外部电网带来的影响,实现了含风力发电微网对外部电网的可调度性。算例仿真验证了该模型的有效性。

Multi-time scale optimal energy dispatch of microgrid considering stochastic wind power

Multi-time-scale scheduling model of electricity and heat for microgrid with volatile wind power generation is proposed, which coordinates the day-ahead schedule and real-time dispatch for microgrid in different time scales. In this model, the objective of day-ahead scheduling is to minimize the operational cost of microgrid, while the flexibility of microgrid operation is improved to adapt to the volatile wind power with the stochastic wind output represented by scenarios; and the real-time power exchange between microgrid and external grid approaches to the day-ahead scheduled curve as close as possible by the real-time dispatch, in which the fluctuation of wind power is accommodated by rapid response facilities. According to the multi-time-scale scheduling model, the impact of the volatile wind power on the external grid is mitigated while the economic operation of microgrid is achieved through the coordination of facilities. Simulation results show the effectiveness of this scheduling model.