Optimal configuration of user side integrated energy system based on chance constrained programming

A user side integrated energy system (USIES) can supply energy in accordance with user demand, in order to make full use of terminal energy conditions, improve energy efficiency, and promote consumption of local renewable energy. A bi-level programming model of USIES multi-objective coordinated planning is developed based on the chance constrained programming. Multi-state models of wind turbine (WT), photovoltaic (PV) generation and load are established respectively according to probability density functions. Then a multi-state model of the IES can be proposed. Considering economic, energy influences, environmental protection and other factors, a configuration model of USIES based on bi-level programming is established, including WT, PV, micro gas turbine and gas boiler. Annual costs is minimized in the upper level objective function in order to accomplish configuration of distributed energy sources. The optimal scheduling of micro turbine is considered in the lower level, in which objective functions include the cost of USIES losses. The elitist strategy genetic algorithm and particle swarm optimization are applied for solving the planning model. A case of USIES planning, which used is in a residential and commercial areas in the North China, verifies the effectiveness of the proposed model and method. The simulation results show that the multi-state model can simplify the difficulty of model calculation. The USIES planning based on the chance constrained programming can adequately consider the uncertainty of USIES. Under a certain confidence level, the optimal investment with the corresponding probability of the confidence level is obtained.