Joint Optimization Model of Multi-objective Demand Response of Micro Energy Network in Multi-station Fusion Scenario
In order to optimize the configuration of a variety of distributed energy,the joint optimization model design method of multi-objective demand response of micro energy network under the scenario of multi-station fusion is studied.On the premise of the best position of the state target,the"TDOA—TDOA"positioning method is selected.Under the cooperation of multi-station fusion scenario,the correlation matrix between the source branch and the node is established,and a joint optimization model of the scheduling target is established through the fixed-point energy balance equation.Radar detection technology is in-troduced to convert energy multi-target demand response data.The experimental results show that optimizing the configuration of peak shaving and valley filling at different stages can reduce the total amount of each load.By controlling the peak and valley values of electric load in spring and autumn,the maximum peak value of 500 kW can be optimized to 180 kW.The peak value of the cooling load in summer is 1200 kW,and the peak value after optimization is 300 kW.The peak value of heat load in win-ter is 1400 kW,and the peak value after optimization is 400 kW.It ensures the flexible interaction of various energy sources such as electricity,heat,gas and cooling.
multi-station fusiondemand responsemicro energy networkenergy interactionenergy flow
万方数据
维普
