Optimal Dispatching Strategy for Residential Air Conditioning Loads Based on Hierarchical Group Method

Fei Zhao, Jinsha Yuan, Ning Wang, Ping Liu

Ekoloji, 2019, Issue 107, Pages: 845-850, Article No: e107099

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Abstract

With the rapid development of energy internet, demand response technology provides a new solution to stabilize the active power fluctuation in power system. This paper creates the equivalent thermodynamic parameter model of an air conditioning, and then carries the Monte Carlo method to simulate residential power consumption behavior. After that, a load dispatching strategy which is based on the hierarchical group method is firstly proposed to suppress active power fluctuation in a community level power grid. At last, the simulation case is carried out to verify the effectiveness of the proposed strategy, through the result and the statistical data, the strategy proposed can effectively suppress the power fluctuation and shave peak for a community level power grid which contains photovoltaic power and wind power. In addition, if it was carried out in the community level power grid, the carbon emissions can be reduced and significant effectively environmental benefits can be obtained.

Keywords

air conditioning, demand response, load dispatching, Monte Carlo simulation, hierarchical group, carbon emission

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