计及发电容量充裕度的容量市场多能源定价模型

A multi‑energy pricing model for capacity markets considering generating capacity adequacy

随着风、光、水等可再生能源发电高比例并入电力系统,可再生能源发电的低成本使传统火电机组的成本回收受到极大挑战,导致火电机组退出容量市场越来越多。但可再生能源发电依赖于天气,在负荷高峰时段,其无法保证发电容量的充裕度,而容量市场的合理定价机制是解决该问题的关键。对此,提出了计及容量市场定价机制及电能需求的多能源交易模型。首先,在容量市场层面给出了传统火电机组、风电机组、光伏发电、水电、储能的分时段负荷需求和容量特性的定价模型,并将其作为主问题;其次,在电能交易层面给出了以日现货交易市场的火电、风电、光伏发电、水电和储能的联合优化调度模型,并将其作为子问题;然后,通过主问题、子问题的迭代求解,给出了火力发电、风电、光伏发电、水电和储能的容量定价机制;最后,以某实际电网数据为例,进行多场景仿真验证,证明了所提方案的合理性和有效性。

With the high proportion of renewable energy generation such as wind,solar,and hydro power integrated into the power system,the low cost of renewable energy generation poses a significant challenge to the cost recovery of traditional thermal power units,resulting in an increasing number of thermal power units exiting the capacity market.Additionally,as renewable energy generation primarily depends on weather conditions,it cannot guarantee sufficient generation capacity during peak load periods.A reasonable pricing mechanism in the capacity market is crucial to address this issue.In response,a multi-energy trading model that considers both the capacity market pricing mechanism and electricity demand is proposed.Firstly,a pricing model that accounts for the load demand and capacity characteristics of traditional thermal power units,wind turbines,photovoltaic(PV)power generation,hydropower,and energy storage at different time intervals is presented for the capacity market level,serving as the main problem.Secondly,a joint optimization scheduling model for thermal power,wind power,PV power,hydropower,and energy storage in the daily spot market is introduced at the electricity trading level,serving as the sub-problem.Then,based on this,through iterative solutions to the main and sub-problems,a capacity pricing mechanism for thermal power,wind power,PV power,hydropower,and energy storage is proposed.Finally,multi-scenario simulations are conducted using an actual power grid as an example,demonstrating the rationality and effectiveness of the proposed scheme.