首页|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

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

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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.
Key technologies for collaborative scheduling of multi energy microgrid systems for layered computing power networks and high dimensional objective optimization
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 collabo-rative scheduling method for hierarchical computing power networks and high-dimensional objective optimization is designed.The re-sults 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,effi-cient,and sustainable direction.

multi energy microgridcomputing power networkhigh dimensional objective optimizationcollaborative scheduling

汪大洋、江凇、贾平、李沛、赵金城

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国网江苏省电力有限公司信息通信分公司,南京 210000

多能源微网 算力网络 高维目标优化 协同调度

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)