Li, L.; Huang, J.; Li, Z.; Qi, H. Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment. Energies2023, 16, 7791.
Li, L.; Huang, J.; Li, Z.; Qi, H. Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment. Energies 2023, 16, 7791.
Li, L.; Huang, J.; Li, Z.; Qi, H. Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment. Energies2023, 16, 7791.
Li, L.; Huang, J.; Li, Z.; Qi, H. Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment. Energies 2023, 16, 7791.
Abstract
To address the problems of wind abandonment in the regional integrated energy system (RIES), which occurs when cogeneration unit operates in a heat-determined electricity operation mode, and the low efficiency of the energy storage system in a low-temperature environment, we propose an optimal scheduling method for RIES based on fine energy storage and wind power dissipation. First, a fine energy storage model is established on the source side and the conditional value at risk(CvaR) theory is used to quantify the uncertainty of wind power; then a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference between heat and power loads, and to promote the consumption of wind power. Finally, with the objective of minimizing the total cost of RIES optimal dispatch, the example is solved on the MATLAB platform. The simulation results show that compared with the traditional model, the proposed model is not only more adaptable to the low-temperature environment, but also can effectively improve the system economy and wind power consumption.
Keywords
Regional integrated energy system; Fine energy storage model; Condition Value at Risk; Demand response mechanism; Wind power consumption
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
