综合能源系统多时间尺度优化调度模型研究

Research on Multi-time Scale Optimal Scheduling Model of Integrated Energy System

考虑到风光出力的随机性与各能源负荷的波动性对综合能源系统(integrated energy system,IES)的影响,构建出在基于多时间尺度下的IES能量优化调度模型。该模型以平抑系统功率波动为主要目标,建立起日前与日内两种时间尺度的优化调度模型,通过所建立的多时间尺度上层与下层约束条件确定系统的能量流动与功率平衡,同时根据运行方式完成在不同时间尺度下对IES系统的优化调度。仿真结果表明:多时间尺度下的优化调度有助于减轻IES的功率负担,降低外界不确定性对系统运行的干扰,提高系统稳定性。

Aimed at the impacts of wind-solar hybrid power generation uncertainties and energy load fluctuation on integrated energy system(IES),a coordinated optimal scheduling model for IES is constructed considering the multiple time scales.This model aims at suppressing the power fluctuation of the system,and the optimal scheduling models of day ahead and day inside time scales are established.The energy flow and power balance of the system are determined by the upper and lower constraints of the multi-time scales,and the optimal scheduling of IES system under different time scales is completed according to the operation mode.The simulation results show that the optimal scheduling under multi-time scales is helpful to reduce the power burden of IES,reduce the interference of external uncertainty to the system operation,and improve the system stability.