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Preventive-Security-Constrained Optimal Power Flow Model Considering IPFC Control Modes

Author

Listed:
  • Hui Cai

    (Economic Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China)

  • Chunke Hu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Xi Wu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

The interline power flow controller (IPFC) is one of the most versatile integrated flexible alternating current transmission systems (FACTS) controllers and can realize power flow control for multiple transmission lines in modern power systems. However, control characteristics are ignored in conventional IPFC models, in which unreasonable assumptions about injected voltages may lead to security problems in realistic operation. Besides, preventive security constraints considering IPFC control modes are not included in optimal power flow (OPF) control of the system with IPFC, squandering IPFC control potential. To solve these problems, a preventive-security-constrained optimal power flow (PSCOPF) model considering IPFC control modes is proposed in this paper. IPFC control characteristics under different control modes are analyzed and employed as constraints of the optimization model. The iterative updates of converter output voltages for different control modes are derived respectively for power flow calculation, and the power and voltages required in the objective function and constraints of the proposed model can then be obtained. Through optimal selection of IPFC control modes and control parameters, the proposed model can better reconcile the economical and secure operation of the system. Numerical results demonstrate the efficient performance and superiority of the PSCOPF model considering IPFC control modes.

Suggested Citation

  • Hui Cai & Chunke Hu & Xi Wu, 2024. "Preventive-Security-Constrained Optimal Power Flow Model Considering IPFC Control Modes," Energies, MDPI, vol. 17(7), pages 1-16, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1660-:d:1367357
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