Discrete Bound Constrained Distribution Based Regional Integrated Energy System Capacity Allocation Model

Abstract

The stochastic nature of the cooling and heating power loads and new energy power output in the regional integrated energy system leads to the difficulty of predicting their stochastic distribution characteristics and parameters during planning. Therefore, a discrete bounded constrained distribution method is used to solve the problem of uncertainty of stochastic distribution in their optimal allocation. A capacity allocation model of regional integrated energy system with discrete bounded distribution is established, and the model is converted into a deterministic semi-deterministic plan by Lagrangian dual principle. The simulation results show that although the investment and operation costs increase after considering the discrete bound constraint distribution, the load shedding loss is reduced to a certain extent; while the total system cost increases with the increase of the discrete bound perturbation range, the supply and sale of energy of the system is guaranteed, which is economical and reliable.