Peak Shaving Potential of Residential Areas Considering Energy Consumption Characteristics

Yan, Yuting; Zhang, Zihao

doi:10.1109/cieec50170.2021.9510894

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Based on this scheme, not only is the energy consumption structure optimized but flexible load control services are extended. With the help of advanced information technology, the Internet of Things and edge computing technology (Hua et al, 2022a) and residential smart devices, such as EHSs, EWHs, and air conditioners (ACs), can be aggregated, forming an energy pool that can be controlled by various communication methods and contribute to power services through peak shaving and valley filling (Wang et al, 2018;Song et al, 2020;Yan and Zhang, 2021), frequency and voltage regulation (Saxena et al, 2022;Wang et al, 2017;Wang et al, 2019), renewable energy consumption (Li et al, 2021;Cai et al, 2022), and other scenarios. This is widely known as load control technology.…”

Section: Introductionmentioning

confidence: 99%

A low-carbon-oriented multi-time-scale dispatching strategy of multi-energy heterogeneous loads in clean heating scenarios of green residences

Sun²,

Li³

et al. 2023

Front. Energy Res.

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Clean energy utilization is important for the improvement of energy structure. At present, photothermal and electrothermal conversion technologies are becoming increasingly applied in many homes, which can thus be regarded as green residences. To meet the heating demand of green residences, solar hot water systems and electricity-to-heat (E2H) conversion devices, such as ground source heat pumps electric heating stoves and electric water heaters are widely installed to provide a clean form of heat. Besides, common loads, such as lighting, washing, and electric vehicles are daily loads in green residences. The above electric and thermal loads are regarded as multi-energy heterogeneous loads MEHLs can be used to decarbonize green residences by optimizing energy dispatch through flexible control. In this study, a novel energy structure of green residences was extended through the combination of SHWs, E2H, GSHPs, and EVs, as well as rooftop photovoltaic systems. Then, to minimize carbon emissions, a residential energy dispatching model was designed from day-ahead and real-time scales and a low-carbon-oriented multi-energy heterogeneous loads coordinated control strategy was proposed. Finally, to mitigate the residents’ loss of comfort caused by MEHL control, the indoor environment and water tank temperatures and the state of charge of EVs were regarded as special constraints. The simulation revealed that the proposed strategy can reduce carbon emissions by 33.07% and meet the basic demand for residential heat and electricity. Additionally, the strategy has good applicability for decarbonizing green residences.

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