面向分层算力网络和高维目标优化的多能源微网系统协同调度关键技术研究  

Key technologies for collaborative scheduling of multi energy microgrid systems for layered computing power networks and high dimensional objective optimization

作　　者：汪大洋 江凇 贾平 李沛 赵金城 WANG Dayang;JIANG Song;JIA Ping;LI Pei;ZHAO Jincheng(State Grid Jiangsu Electric Power Co.,Ltd.Information and Telecommunication Branch,Nanjing 210000,China)

机构地区：[1]国网江苏省电力有限公司信息通信分公司,南京210000

出　　处：《自动化与仪器仪表》2024年第11期135-139,共5页Automation & Instrumentation

基　　金：国家电网公司总部科技项目《面向新型电力系统跨域分层算力网络的协同调度关键技术研究及应用》(5700-202318269A-1-1-ZN)。

摘　　要：针对多能源微网系统的能量协同调度问题,研究引入算力网络将计算任务分成不同层级构建目标函数,并采用高维目标优化算法对其求解,设计出一种面向分层算力网络和高维目标优化的协同调度方法。结果表明,在不同场景下,优化后的平均成本为405.3元,表明其能够有效降低运营成本。在电价计算中,优化后不同时间段内的购电成本分别为0.02元、0.03元、0.04元,表明该方法能够提高系统经济性。以上结果证明了设计方法的可行性,对于推动能源系统向更加经济、高效和可持续的方向发展具有重要意义。To coordinate the energy dispatching issue,this study introduces a computing power network to divide computing tasks into different levels to construct objective functions,and uses high-dimensional objective optimization algorithms to solve it.A collaborative scheduling method for hierarchical computing power networks and high-dimensional objective optimization is designed.The results show that in different scenarios,the optimized average cost is 405.3 yuan,indicating that it can effectively reduce operating costs.In electricity price calculation,the optimized electricity purchase costs for different time periods are 0.02 yuan,0.03 yuan,and 0.04 yuan,respectively,indicating that this method can improve system economy.The above results demonstrate the feasibility of the design method,which is of great significance for promoting the development of energy systems towards a more economical,efficient,and sustainable direction.

关 键 词：多能源微网 算力网络 高维目标优化 协同调度 

分 类 号：TM715[电气工程—电力系统及自动化] TP39[自动化与计算机技术—计算机应用技术]