电力现货市场环境下考虑边际成本的综合能源系统调度策略  

Comprehensive Energy System Scheduling Strategy Considering Marginal Costs in the Electricity Spot Market Environment

作　　者：王永利[1] 张云飞[1] 赵伟博 马恺玮 李强 姜斯冲 WANG Yong-li;ZHANG Yun-fei;ZHAO Wei-bo;MA Kai-wei;LI Qiang;JIANG Si-chong(School of Economics and Management,North China Electric Power University,Beijing 102206,China;China Electric Power Research Institute Company Limited,Beijing 100192,China;Beijing Key Laboratory of Demand-Side Multi-energy Complementary Optimization and Supply-Demand Interaction Technology,Beijing 100192,China;State Grid Shandong Province Marketing Service Center,Jinan 250013,China)

机构地区：[1]华北电力大学经济与管理学院,北京102206 [2]中国电力科学研究院有限公司,北京100192 [3]需求侧多能互补优化与供需互动技术北京市重点实验室,北京100192 [4]国网山东省营销服务中心,济南250013

出　　处：《科学技术与工程》2025年第3期1075-1086,共12页Science Technology and Engineering

基　　金：国家电网公司总部科技项目(5400-202316228A-1-1-ZN)。

摘　　要：综合能源系统(integrated energy system,IES)参与电力现货市场交易时,由于市场供需关系的变化导致交易价格具有不确定性。因此,对综合能源系统运行边际成本进行精细化分析,研究充分利用综合能源系统灵活性资源参与市场的最优调度策略。首先,分析了外部现货市场环境下市场价格不确定性典型场景处理方法,并研究了综合能源系统内部多种源荷可调资源及运行成本结构;其次,建立了在电力市场价格不确定性条件下考虑系统边际成本交易优化模型,并提出沙猫群优化算法进行求解。最后,通过对实际案例的仿真验证。结果表明:该策略不仅可以降低IES的运行成本,还能增强其对市场价格不确定性的适应能力,为综合能源系统在电力现货市场环境下的运行提供了新的思路和方法,有助于实现能源系统参与市场调度的经济性和可靠性双重优化。When the integrated energy system(IES)participates in electricity spot market transactions,the transaction price is un-certain due to changes in market supply and demand.In order to deal with this problem,a detailed analysis of the operating marginal cost of the integrated energy system was used to investigate the optimal dispatch strategy that fully utilizes the flexible resources of the integrated energy system to participate in the market.Firstly,the typical scenarios of market price uncertainty under the external spot market environment were analyzed,and the internal multiple source-load adjustable resources and operation cost structure of the inte-grated energy system were investigated.Secondly,a trading optimization model considering the marginal cost of the system under the condition of price uncertainty in the electric power market was established,and the sand cat swarm optimization algorithm was proposed to solve the problem.Finally,simulation verification was conducted based on actual cases.The result shows that this strategy can not only reduce the operating cost of IES,but also enhance its adaptability to market price uncertainty.The strategy provides new ideas for the operation of integrated energy systems in the power spot market environment,which is also helpful to realize the double optimization of economy and reliability of energy system participating in the market scheduling.

关 键 词：电力现货市场 边际成本 综合能源系统 沙猫群优化算法 

分 类 号：TM732[电气工程—电力系统及自动化]