奖励机制与用户意愿结合的高峰期负荷博弈调度策略

在高峰时段,居民冷/热设备占尖峰负荷的比重不断攀升,影响了低压配电网的安全稳定优化运行。为补充供给侧调节能力,提升调控灵活性,亟须引导用户侧可调资源参与电网供需互动。该文提出一种奖励机制与用户意愿相结合的高峰期负荷博弈调度策略。依据用户用能意愿对高峰时段用电负荷进行动态划分,制定基于负载率-奖励函数的差异化补贴机制。将高峰时段需要提升功率的负荷群视为领导者,将具有灵活削减能力的负荷群视为追随者,建立Stackelberg博弈模型,证明博弈均衡的唯一性。进而该文提出了Stackelberg博弈下的用电高峰期负荷日内优化调度方法,优化博弈双方在追求效益最大时的策略。该文构建多通路混合专家网络求解设备动作意愿,提出基于用户意愿的单功率-多功率级负荷联合控制策略,实现负荷的实时精细化调控。最后,算例表明所提策略能够在实现聚合商与用户侧双赢、遵从用户调控意愿的同时,有效地平抑用电高峰期的负荷波动,减小峰谷差。

New type steam turbine for cogeneration

A concept of energy saving & efficiency improving from cold source for cogeneration steam turbine was discussed herein. A new type "NCB" cogeneration steam turbine was proposed,which could considerably increase heat supply capacity,thermal efficiency and electric power. Taking 300 MW cogeneration steam turbine as an example,the results show that heat supply capacity reaches the maximum,i.e. increases by 30 %,thermal efficiency is improved by 12 %,and electric power is enhanced by 15 MW during peak heat load.