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

机译:多能源系统中自调度需求资源的通用建模

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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.
机译:需求响应(DR)是一个框架,允许灵活的负载(FL)进行自调度,包括进行缩减或转移以保持能源供需之间的系统平衡。随着多能源系统(MES)的集成以及信息和通信技术(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。但是,这种DR方法的时间行为和经济评估尚未得到全面讨论。提出了一种针对MES需求侧的广义自调度模型。首先,探索了多能量FL的时间响应潜力。此外,基于客户损害函数计算设备级的负荷削减和转移的经济损失。将自调度的最优化公式化为混合整数规划问题,并通过遗传算法求解。形成了一个基于能源枢纽的测试案例,以说明所提出的建模技术。

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