An economic optimization model for RIES considering interaction and uncertainty of electric-gas-thermal systems

Abstract

In order to promote the interaction and stochastic factors among power, natural gas and thermal systems in regional integrated energy system (RIES). Firstly, the interaction between various energy sources in the regional integrated energy system and the uncertainty of different load forecasting are considered, than we established an economic optimization model of regional comprehensive energy combined cooling, heating and power. Secondly, due to the user's demand for heating, refrigeration and electricity can be met by a variety of energy forms, the deepening of demand response policy strengthens the correlation between electricity and gas. So, the multi-point estimation method of Nataf transform is used to convert the random quantity and dynamically modify the weight to obtain the correlation matrix close to the real value, so as to solve the model. The simulation results show that compared with the RIES without considering energy interaction and uncertainty, the economic benefits of the RIES considering coupling and randomness are better, and the solution algorithm proposed in this paper has strong global search ability.