Power fluctuation damping of thermostatically controlled loads based on state estimation

Yuqing Bao; Xueting Zhou; Tongzhou Ji; Jinlong Zhang; Xiaobo Tang; Yang Wu

doi:10.17775/CSEEJPES.2018.00660

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Power fluctuation damping of thermostatically controlled loads based on state estimation

更新时间：2025-12-18

- Power fluctuation damping of thermostatically controlled loads based on state estimation
- CSEE Journal of Power and Energy Systems Vol. 6, Issue 4, Pages: 834-840(2020)
- 作者机构：
  
  1. NARI School of Electrical and Automation Engineering, Nanjing Normal University,Nanjing,China
  2. State Grid Shuyang Power Supply Company, Shuyang,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2018.00660
  CLC：
- Published：2020
- 稿件说明：
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Yuqing Bao, Xueting Zhou, Tongzhou Ji, et al. Power fluctuation damping of thermostatically controlled loads based on state estimation[J]. CSEE Journal of Power and Energy Systems, 2020, 6(4): 834-840.
DOI：

Yuqing Bao, Xueting Zhou, Tongzhou Ji, et al. Power fluctuation damping of thermostatically controlled loads based on state estimation[J]. CSEE Journal of Power and Energy Systems, 2020, 6(4): 834-840. DOI： 10.17775/CSEEJPES.2018.00660.

摘要

Abstract

As a kind of important demand side resource

the thermostatically controlled loads (TCLs) play an important role in the peak load shifting and load balancing programs. This paper establishes a state-queuing (SQ) model for the large-scale TCLs

and estimates the system states based on the Kalman-filtering. Based on state estimation

the control strategy

whose parameters are optimized by the genetic algorithm (GA)

is designed to damp the power fluctuation of the TCLs. Finally

the effectiveness of the proposed method is verified.

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