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Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model

机译:基于广义储能模型的区域综合能源最优派遣

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摘要

In view of the difficulties in optimal dispatch caused by diverse energy and various types of equipment in the regional integrated energy system(RIES), this paper established a generalized energy storage model by extracting the flexibility characteristics of cooling, heat, and electrical load based on abstract equivalence. Instead of reducing the accuracy of regulation, this modeling method can greatly simplify the information interaction between the energy dispatching center and energy consumers, thus cutting down the time of collaborative analysis calculations. With the scheduling characteristics of multiple types of flexible loads in day-ahead and intra-day time scales considered comprehensively, a multi-time-scale optimization scheduling model of RIES is established, which takes into account the economy of system operation and the demand response. The simulation results show that the proposed optimization model can fully tap the load-side scheduling potential, along with effectively reducing the computational complexity. Through the coordination of resources with different characteristics, the pressure of balancing energy supply and demand can be relieved, and the operating cost of the system can be minimized.
机译:鉴于由各种能源和各类设备在区域综合能源系统(RIES)引起的最佳调度困难(RIES),本文通过提取了基于的冷却,热和电负载的柔韧性特性建立了广义的能量存储模型抽象等价。该建模方法可以大大简化能量调度中心和能量消费者之间的信息相互作用,而不是降低调节的准确性,而不是降低调节的准确性,从而减少协同分析计算的时间。随着多种柔性负载的调度特性,在一天的前方和日内时间尺度综合考虑,建立了一种多时间级优化调度模型,考虑到系统运行的经济和需求响应。仿真结果表明,所提出的优化模型可以完全挖掘负载侧调度电位,以及有效降低计算复杂性。通过使用不同特性的资源的协调,可以减轻平衡能量供应和需求的压力,并且可以最小化系统的运行成本。

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