Volume 7: Urban Energy Systems: Building, Transport, Environment, Industry, and Integration

Optimization of Residential Electrical Consumption With Electric Consumption Scheduling and Distributed Energy Storage Devices Kai Zhuo Lim, Kang Hui Lim, Xian Bin Wee, Jeff Xu, Kuan Chun Yeh, Sajidul Haque Siraji, Yinan Li, Xiaonan Wang*



In this paper, we develop a residential grid-level optimization model, which incorporates both electrical consumption scheduling (ECS) systems and energy storage devices (ESDs), so as to lower the peak-to- average ratio (PAR) of electricity demand and reduce the costs of electricity supply and consumption. This model consists of three levels: household consumption optimization (solo opt), grid consumption optimization (base opt) and ESD allocation optimization (ESD opt). To evaluate this model, a realistic residential population of 180 households subdivided into subpopulations by household sizes and income levels was simulated using a bottom-up randomization approach, with electricity supply from conventional thermal generation (CTG). The results show that PAR can ideally be reduced to 1 with an optimal allocation of ESDs among households with positive bills savings.

Keywords Demand Side Management, Electrical Consumption Scheduling, Energy Storage Devices, Convex Optimization; Genetic Algorithm

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