Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems

Yubin Jia; Tengjun Zuo; Yaran Li; Wenjun Bi; Lei Xue; Chaojie Li

doi:10.1016/j.gloei.2023.06.009

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Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems

Smart Grid | 更新时间：2026-10-08

- Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems
- Global Energy Interconnection Vol. 6, Issue 3, Pages: 355-362(2023)
- 作者机构：
  
  1. School of Automation, Southeast University,Nanjing,PR China,210096
  2. Nanjing Institute of Technology,Nanjing,PR China,211167
  3. State Grid Jiangsu Electric Power Research Institute,Nanjing,PR China,211103
  4. School of Electrical Engineering and Telecommunications, University of New South Wales,NSW,Sydney,Australia,2052
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2023.06.009
  CLC：
- Online First：27 June 2023，
  
  Published：27 June 2023
- 稿件说明：
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Yubin Jia, Tengjun Zuo, Yaran Li, et al. Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems[J]. Global Energy Interconnection, 2023, 6(3): 355-362.
DOI：

Yubin Jia, Tengjun Zuo, Yaran Li, et al. Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems[J]. Global Energy Interconnection, 2023, 6(3): 355-362. DOI： 10.1016/j.gloei.2023.06.009.

摘要

Abstract

This paper presents a finite-time economic model predictive control (MPC) algorithm that can be used for frequency regulation and optimal load dispatch in multi-area power systems. Economic MPC can be used in a power system to ensure frequency stability

real-time economic optimization

control of the system and optimal load dispatch from it. A generalized terminal penalty term was used

and the finite-time convergence of the system was guaranteed. The effectiveness of the proposed model predictive control algorithm was verified by simulating a power system

which had two areas connected by an AC tie line. The simulation results demonstrated the effectiveness of the algorithm.

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