Total Supply Capacity of Electric-Gas Combined System Considering Distributed Renewable Generation

Abstract

Total supply capacity (TSC) is a significant index to evaluate the performance of distribution systems, which reflects the safety and economy of power system operations. With the development of the energy internet, it is necessary to analyze the TSC of electric-gas combined systems considering distributed renewable generation. Because the power output of distributed renewable generation has randomness, the system operational state becomes significantly uncertain. This paper establishes a TSC model of electric-gas combined system with stochastic chance constraints. The model takes into account the N-1 constraints of the main transformer and feeder, the flow constraints of the pressure station and pipeline, and the coupling constraints of the electric power system (EPS) and natural gas system (NGS). The method combines Latin hypercube sampling (LHS) with a simplified particle swarm optimization (SPSO) algorithm to solve the model. The simulation results demonstrate that the technology of distributed power supply can effectively improve the TSC of distribution system. Moreover, the power output of gas turbines can profile the fluctuation taken from the power output of distributed renewable generation. Finally, the feasibility and applicability of the model are verified by extensive case analyses.