Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication

Bo Hu; Huajian Wang; Tao Niu; Changzheng Shao; Chunyan Li

doi:10.17775/CSEEJPES.2021.00650

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Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication

Regular Papers | 更新时间：2026-10-15

- Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication
- Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第4期页码：1848-1857
- 作者机构：
  
  1. Department of Electrical Engineering, Chongqing University,Chongqing,China
  2. State Grid Shaoxing Power Supply Company,Shaoxing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.00650
  中图分类号：
- 纸质出版：2025-07-01
- 稿件说明：
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Bo Hu, Huajian Wang, Tao Niu, 等. Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(4):1848-1857.

Bo Hu, Huajian Wang, Tao Niu, et al. Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication[J]. CSEE Journal of Power and Energy Systems, 2025, 11(4): 1848-1857.
Bo Hu, Huajian Wang, Tao Niu, 等. Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(4):1848-1857. DOI： 10.17775/CSEEJPES.2021.00650.

Bo Hu, Huajian Wang, Tao Niu, et al. Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication[J]. CSEE Journal of Power and Energy Systems, 2025, 11(4): 1848-1857. DOI： 10.17775/CSEEJPES.2021.00650.

摘要

Abstract

Development of wireless technologies provides a promising communication scheme with low operating cost and high speed. However

fragile communication channels bring negative impacts on the reliability of bidirectional communication. Packet loss

the inherent attribute of communication may deteriorate control performance of distributed energy resources

affecting the profit of a virtual power plant (VPP) participating in a power market. In this paper

we present a quantitative method to analyze the effect of imperfect communication on the scheduling strategy of VPPs. In the proposed approach

a four-state discrete time Markov chain is used to model average packet loss probability. Then a two-stage dispatch scheme is proposed to maximize daily profit of a VPP with microgas-turbine

wind and electric vehicles (EVs)

Meanwhile

to reduce the dimensions of the model due to large-scale EVs in the vehicle to grid (V2G) operation

a compression method of an EV cluster model is proposed based on Minkowski addition. Feasibility and effectiveness of the proposed method

including reducing the impact of data loss on the scheduling of VPPs

can significantly improve the economic efficiency of VPPs

and are verified by given cases.

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