1. 清华大学建筑学院
2. 华北电力大学能源动力与机械工程学院
纸质出版:2026
移动端阅览
刘浩晨, 吴彦廷, 陈昆, 等. 火电边际成本对电力市场中现货电价的影响[J]. 热力发电, 2026,(8).
刘浩晨, 吴彦廷, 陈昆, et al. 火电边际成本对电力市场中现货电价的影响[J]. Thermal Power Generation, 2026, (8).
刘浩晨, 吴彦廷, 陈昆, 等. 火电边际成本对电力市场中现货电价的影响[J]. 热力发电, 2026,(8). DOI: 10.19666/j.rlfd.202511073.
刘浩晨, 吴彦廷, 陈昆, et al. 火电边际成本对电力市场中现货电价的影响[J]. Thermal Power Generation, 2026, (8). DOI: 10.19666/j.rlfd.202511073.
电力现货市场是全国统一电力市场建设的核心。【目的】模拟未来长期的现货电价对于热电厂灵活性改造工程设备选型、评估收益有重要意义。【方法】本文提出一种模拟不同电源结构下长期现货电价的方法,包括厘清电力市场成员及关系、建立火电厂边际成本计算依据、给出热电协同电厂的报价方法、实现在不同电源结构下模拟长期现货电价。【结果】研究表明:该模拟现货电价算法的74%模拟值与真实值偏差在±50元/(MW·h)以内。【结论】在火电发电量占主导的情况下,低电价源于储能充电过程和火电机组的低负荷率,高电价则源于储能放电过程;新能源发电量占主导时,其发电量由储能系统决定,且现货电价多由储能系统主导;热电协同技术使得某660 MW火电机组的日内收益比传统热电联产机组高352万元,同时降低电网对储能容量的需求;远期电力系统的现货电价和火电出力均呈现显著的季节性差异,全年现货电价均值335元/(MW·h)
12月电价以414元/(MW·h)最高,3月电价以246元/(MW·h)最低。该研究结论可为电力市场设计者、参与者和热电厂灵活性改造决策者提供参考。
[Objective] To accommodate the decline in the share of thermal power generation in the power mix
which is expected to drop from 65% in 2016 to 40% in 2025
China is pursuing power system reforms to adapt to the productive forces development. One of the important means is the development of a power spot market. The electricity spot market is the core of the national unified electricity market construction. Simulating long-term spot electricity prices is of great significance for equipment selection and revenue assessment in thermal power plant flexibility retrofit projects. [Methods] This study proposes a method for simulating long-term spot electricity prices under different power source structures
including clarifying electricity market members and their relationship
establishing a method to calculate thermal power plants' marginal costs
providing a bidding method for co-operated heat and power plants
and simulating long-term spot electricity prices under different power source structures. [Results] The research shows over 74% of the simulated values have a deviation within ±50 yuan/(MW·h) from actual values. [Conclusion] This paper proposes a model to simulate long-term spot electricity prices and presents the results of a full-year continuous operation of future power systems. This simulation method is applied to provide a basis for flexibility upgrades and long-term economic evaluations of energy storage. It also provides methods for calculating the marginal cost of thermal power and a method for co-operated heat and power bidding
leading to the following conclusions. The simulation results are obtained based on the entire process of determining spot electricity prices. Under the current power source structure
spot electricity prices are determined by thermal power
while under the future power source structure
spot electricity prices are determined by both thermal power and energy storage. Under the future power source structure
spot electricity prices and thermal power generation show seasonal differences: they are higher in summer and winter. This can provide a reference for thermal power bidding and quantitatively estimate the economic benefits of flexibility upgrade schemes for thermal power plants. Thermal-electric coordination technology can increase the daily revenue of coal-fired power plants in the electricity market. Taking a 660 MW rated coal-fired unit as an example
this technology enables it to earn 3.52 million yuan more per day than traditional combined heating and power generation methods. It can also reduce the power and capacity requirements of energy storage systems. This paper will be of interest to electricity market designers
participants
and decision-makers involved in thermal power plant flexibility retrofitting.
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