工业园区分布式综合能源系统的规划与调度

In order to reduce carbon emissions and improve economic benefits, a grid-connected distributed integrated energy system coupling gas-fired internal combustion engine, rooftop photovoltaics and ground source heat pump was proposed to realize the coordinated supply of regional cooling, heating, power and steam based on the resource endowment and load demand characteristics of the park. With the objective of minimizing the carbon dioxide emissions, annual cost and average power purchase fluctuation, the capacity allocation planning and day-ahead operation dispatch of the system were carried out through the established optimization model. Taking an industrial park in Xi’an as the study case, the optimal capacities under each single objective and multi-objective optimization were obtained based on the load data throughout the year. According to the comprehensive planning results, the annual performance was calculated, and the typical days of heating period and cooling period were selected for dispatch research. The sensitivity analysis was made for the fluctuations of photovoltaics installation, electricity price and gas price, and the corresponding energy storage capacities and system performance changes were determined. The results indicated that the environmental performance and stability of the distributed integrated energy system could be significantly improved under the premise of meeting the demand, and the annual cost was the most sensitive to the changes of electricity price and gas price.