Participate in the demand side response of air conditioning load group regulation control method and optimal scheduling strategy

In order to solve the problem that when air-conditioning loads participate in grid demand-side management, the operating characteristics of the loads are handled in accordance with fixed-frequency air-conditioning, while fixed-frequency air-conditioning does not take into account the change in the number of operating states in different temperature intervals of the same temperature interval in the temperature regulation. This paper proposes a method to classify and study the air conditioning load group and its optimal scheduling strategy to participate in grid regulation. For fixed-frequency air conditioners, a combination of set temperature control and direct start-stop control is used, and for variable-frequency air conditioners, steady-state and dynamic load models are established to participate in customer-side demand response. On this basis, an optimal scheduling model of air conditioner load group is established and simulated by discrete particle swarm algorithm.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862747
Primary Topic
Smart Grid Energy Management
Type
article
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Participate in the demand side response of air conditioning load group regulation control method and optimal scheduling strategy

Wenxiu Dong, Xiangyu Zhou, Yue Liu, Jing Li et al.
Smart Grid Energy Management
article

Participate in the demand side response of air conditioning load group regulation control method and optimal scheduling strategy

Wenxiu Dong, Xiangyu Zhou, Yue Liu, Jing Li, Yong Wang
article en

Abstract

In order to solve the problem that when air-conditioning loads participate in grid demand-side management, the operating characteristics of the loads are handled in accordance with fixed-frequency air-conditioning, while fixed-frequency air-conditioning does not take into account the change in the number of operating states in different temperature intervals of the same temperature interval in the temperature regulation. This paper proposes a method to classify and study the air conditioning load group and its optimal scheduling strategy to participate in grid regulation. For fixed-frequency air conditioners, a combination of set temperature control and direct start-stop control is used, and for variable-frequency air conditioners, steady-state and dynamic load models are established to participate in customer-side demand response. On this basis, an optimal scheduling model of air conditioner load group is established and simulated by discrete particle swarm algorithm.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Smart Grid Energy Management
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Participate in the demand side response of air conditioning load group regulation control method and optimal scheduling strategy — Wenxiu Dong, Xiangyu Zhou, et al. · (2024) | TGRS Research Map | TGRS