含风电电力系统能量–调频–备用联合运行日前市场电价机制智能代理仿真分析

Agent-based Simulation of Day-ahead Market Pricing Mechanism for Energy-frequency regulation-reserve Combined Operation for Power Systems With Wind Power

由于输电容量约束,二次调频和旋转备用在实时调度过程中可能出现输电阻塞,分割了市场,加剧火电机组的市场力,现有的节点边际价格机制难以激励火电机组申报真实的能量和辅助服务成本信息,从而阻碍风电的消纳。为设计市场电价机制、促进新能源消纳,建立了含风电电力系统能量–调频–备用联合运行日前市场智能代理仿真模型。首先,构建了考虑预想极限场景下辅助服务可用性的日前市场出清模型,建立了含辅助服务调度阻塞成本的能量、调频和备用的节点边际电价和Vickrey-Clarke-Groves(VCG)电价机制;进而,应用智能代理的仿真方法研究了两种电价机制下的市场均衡情况,以评估两种电价机制的差别;最后,通过修改的IEEE39节点系统验证了VCG电价机制的有效性。

Due to the transmission capacity constraints,secondary frequency regulation and spinning reserve may cause congestion in real-time dispatching,dividing the market,exacerbating the market power of thermal power units.It is difficult for the existing locational marginal price mechanism to motivate the thermal power units to bid for the real energy and the ancillary services cost information,thereby hindering the wind power accommodation.In order to design the more proper market electricity price mechanism and promote the accommodation of renewable energy,an agent-based simulation model of the day-ahead market is established for the energy-frequency regulation-reserve combined operation of the power system containing wind power.Firstly,a day-ahead market clearing model is constructed considering the ancillary services availability in the expected extreme scenarios.Then,a locational marginal price and Vickrey-Clarke-Groves(VCG)price mechanism is formulated for energy,frequency regulation and reserve including the ancillary service dispatching congestion cost.Furthermore,applying the agent-based simulation the market equilibrium is studied under the presented two electricity price mechanisms to evaluate their differences.Finally,the validity of the VCG electricity price mechanism is verified through the revised IEEE 39 bus test system.