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