多能互补综合能源系统（integrated energy system, IES）的发展为实现能源高效利用和生态环境改善提供了新的可能，本文充分考虑IES多目标运行约束，以及不同能源响应特性在时间尺度上的差异，提出一种基于多目标的IES日前-日内分层优化控制策略。在日前阶段，考虑环保、能耗、可靠性、经济等多目标，将前三类通过量化评价指标加入到模型约束条件中，构建IES日前多目标优化模型，合理安排供能储能机组的出力计划；在日内阶段，依据冷热能和电能的调控时间差异实现分层控制，上层控制和下层控制分别通过机组调控惩罚成本引导滚动修正机组出力平抑冷热能功率波动和电能功率波动。最后，基于一种典型IES结构设计算例，分析IES日前控制和日内控制各设备出力，验证所提方法的有效性。
英文摘要:
The development of multi-energy complementary integrated energy system (IES) provides a new possibility for improving the energy efficient utilization and ecological environment. This paper proposed a day-ahead and intraday optimal control strategies of IES considering the IES multi-objective operational constraints and different energy response characteristics. At the day-ahead stage, the IES day-ahead multi-objective optimization model is constructed to reasonably arrange optimum allocation of energy production and storage devices with the constraints considering environmental benefits, energy consumption and energy supply reliability; At the intraday stage, the hierarchical control is implemented to suppress the cooling and heat power fluctuation and electricity fluctuation sequentially according to the different regulation time constants and unit adjustment punishment costs. Finally, case studies are designed based on a typical IES structure to analyze the output of each equipment at the day-ahead and intraday stage. The case study results prove the effectiveness of the proposed method.