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作 者:陈影[1] 孙毅[1] 鲍荟谕 王春妍 卢达 李贺龙 CHEN Ying;SUN Yi;BAO Huiyu;WANG Chunyan;LU Da;LI Helong(Electrical and Electronic Engineering College,North China Electric Power University,Beijing 102206,China;China Electric Power Research Institute Co.,Ltd.,Beijing 100192,China)
机构地区:[1]华北电力大学电气与电子工程学院,北京102206 [2]中国电力科学研究院有限公司,北京100192
出 处:《电力需求侧管理》2024年第1期93-100,共8页Power Demand Side Management
基 金:国家电网有限公司科技项目(5400-202255274A-2-0-XG)。
摘 要:随着新能源技术的快速发展和广泛应用,电力系统正面临着高比例新能源和多主体互联的趋势。然而,机组主体多样性的调度目标在全时段求解所带来的维度爆炸成为影响系统正常运行的主要问题。为此,提出了一种基于微网碳计量数据的低压台区协同管理方法,采用碳计量有效监测和控制碳排放量,实现减少碳排放的目标。根据系统的动态内聚性,划分主体进行最优调度的时间范围,均衡求解维度。同时为解决高比例新能源系统的经济运行、环境效益及消纳等问题,构建多目标调度模型,将碳排放量较小的机组优先调度,以达到减排的目的,结合其动态内聚性及动态多目标协同进化求解模型。最后算例分析结果表明,所提的模型及求解方法可有效降低求解的计算维度并实现对低压台区的精细化调度和管理,提升系统的运行效率和稳定性。With the rapid development and wide application of new energy technologies,power system is facing the trend of high propor⁃tion of new energy and multi-agent interconnection.However,the dimensional explosion caused by solving the scheduling target of unit subject diversity in the whole period has become the main problem affecting the normal operation of the system.Therefore,a collaborative management method is proposed low-voltage station area based on microgrid carbon metering data.According to the dynamic cohesion of the system,the time range of optimal scheduling by the agent is divided to balance the solution dimension.At the same time,in order to solve the problems of economic operation,environmental benefit and consumption of high proportion of new energy system,a multi-objec⁃tive scheduling model is constructed,which combines its dynamic cohesion and dynamic multi-objective co-evolution solution model.The results of the final example show that the model and solution method proposed can effectively reduce the computational dimension of the solution and realize the fine scheduling and management of the low-voltage station area,and improve the operation efficiency and stability of the system.
关 键 词:碳计量 微电网 动态内聚性 多目标协同进化 多目标调度优化模型
分 类 号:TM73[电气工程—电力系统及自动化]
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