Corrective Evaluation of Response Capabilities of Flexible Demand-Side Resources Considering Communication Delay in Smart Grids

Author:

Liu Ying12,Liu Chuan13,Tao Jing1,Liu Shidong1,Wang Xiangqun1,Zhang Xi14ORCID

Affiliation:

1. State Grid Smart Grid Research Institute Co., Ltd., Nanjing 210003, China

2. State Grid Laboratory of Electric Power Communication Network Technology, Nanjing 210003, China

3. School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

4. Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK

Abstract

With the gradual increase in the proportion of new energy sources in the power grid, there is an urgent need for more flexible resources to participate in short-term regulation. The impact of communication network channel quality will continue to magnify, and factors such as communication latency may directly affect the efficiency and effectiveness of resource regulation. In this context of a large number of flexible demand-side resources accessing the grid, this article proposes a bidirectional channel delay measurement method based on MQTT (Message Queuing Telemetry Transport). It can effectively evaluate the real-time performance of communication links, considering that resources mainly access the grid through the public network. Subsequently, focusing on two typical types of resources on the demand side, namely, split air conditioners and central air conditioners, this article proposes an assessment method for correcting the response capabilities of air conditioning resources considering communication latency. Experimental simulations are conducted, and the results demonstrate that under given communication conditions, this method can more accurately estimate the response capability of air conditioners. This provides a basis for formulating more reasonable scheduling strategies, avoiding excessive or insufficient resource regulation caused by communication issues, and aiding the power grid in achieving precise scheduling.

Funder

National Key R&D Program of China

Publisher

MDPI AG

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