Two-Stage Optimal Scheduling of Community Integrated Energy System

Abstract

From the perspective of a community energy operator, a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable loads. The day-ahead scheduling analyzes whether various controllable loads participate in the optimization and investigates the impact of their responses on the operating economy of the community integrated energy system (IES) before and after; the intraday scheduling proposes a two-stage rolling optimization model based on the day-ahead scheduling scheme, taking into account the fluctuation of wind turbine output and load within a short period of time and according to the different response rates of heat and cooling power, and solves the adjusted output of each controllable device. The simulation results show that the optimal scheduling of controllable loads effectively reduces the comprehensive operating costs of community IES; the two-stage optimal scheduling model can meet the energy demand of customers while effectively and timely suppressing the random fluctuations on both sides of the source and load during the intra-day stage, realizing the economic and smooth operation of IES.