Generalized Modeling of Self-scheduling Demand Resource in Multi-Energy System

Sheng Wang, Yi Ding, Changzheng Shao
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引用次数: 1

Abstract

Demand response (DR) is a framework that allows flexible load (FL) to self-schedule, including being curtailed or shifted to maintain system balance between energy supply and demand. With the integration of multi-energy system (MES) and development of information and communication technologies (ICTs), multi-energy infrastructures have expanded the ways FL participates in DR program. FL can shift to another energy carrier without noticeable delay. However, the chronological behavior and economic assessment for such DR methods have not been comprehensively discussed yet. This paper proposed a generalized self-scheduling model for demand side in MES. Firstly, the chronological response potentials for multi-energy FLs are explored. Moreover, the appliance-level economic loss of both load curtailment and shifting are calculated based on customer damage function. The optimization of self-scheduling is formulated as a mixed integer programing problem and solved by genetic algorithm. A test case based on energy hub is formed to illustrate the proposed modeling technique.
多能系统需求资源自调度的广义建模
需求响应(DR)是一个允许灵活负载(FL)自我调度的框架,包括削减或转移,以保持系统在能源供需之间的平衡。随着多能源系统(MES)的集成和信息通信技术(ict)的发展,多能源基础设施扩大了FL参与DR计划的方式。FL可以转移到另一个能量载体而没有明显的延迟。然而,这些DR方法的时间行为和经济评价尚未得到全面讨论。提出了MES系统中需求侧的广义自调度模型。首先,研究了多能弱脉冲的时间响应势。此外,基于用户损害函数计算了弃载和移载的电力级经济损失。将自调度优化问题表述为一个混合整数规划问题,并采用遗传算法求解。以一个基于能源枢纽的测试用例为例说明了所提出的建模技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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