WANG Rong, ZHAO Bin, LIU Wenzhang, GAO Yang, LÜ Xiangmei, HE Chuan. Day-ahead Economic Dispatch of Micro-energy Grid Considering High Proportion of Renewable Energy Consumption[J]. Modern Electric Power, 2022, 39(2): 236-245. DOI: 10.19725/j.cnki.1007-2322.2021.0050
Citation: WANG Rong, ZHAO Bin, LIU Wenzhang, GAO Yang, LÜ Xiangmei, HE Chuan. Day-ahead Economic Dispatch of Micro-energy Grid Considering High Proportion of Renewable Energy Consumption[J]. Modern Electric Power, 2022, 39(2): 236-245. DOI: 10.19725/j.cnki.1007-2322.2021.0050

Day-ahead Economic Dispatch of Micro-energy Grid Considering High Proportion of Renewable Energy Consumption

  • At present, the energy crisis becomes the common puzzle that the countries around the world are faced with, thus the sustainable utilization of energy sources is actively researched by experts and scholars from various countries, and the renewable energy is valued by the researchers and the proportion of grid-connected new energy is being constantly increased. However, the resulting accommodation of new energy becomes a big challenge. To solve this problem, in the micro energy grid constituted by thermoelectric cogeneration units, gas turbines, electric boilers, power-to-gas equipments and energy storage equipments when the demand response of electric load was taken into account, the electric vehicle was led into the micro energy grid, and taking the minimum system operating cost as the objective function a day-ahead dispatching hybrid integer linear model of micro energy grid was established. The graded utilization of energy was realized by the cogeneration of heat and the utilization rate of heat and electricity in the system was improved. The power-to-gas equipment could convert the surplus new energy output into natural gas and stored in natural gas network or gas storage equipments. The energy storage equipments broke the constraints of electric-thermal coupling to a certain extent and the scheduling flexibility among various energy sources was increased. Considering the demand response, the flexibility of micro energy network scheduling was improved and the realtime dispatching could be conducted according to the change of electricity price, and the role of peak-load shifting could be played. Finally, by means of the simulation the effectiveness of the established model is verified.
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