Optimal Active Network Management Scheme With Efficient Utilization of Renewable Power Generation Ancillary Services

  • Desmond Ampofo

Student thesis: Master's Thesis

Abstract

Power system planning and operation is progressively becoming a puzzling issue for both transmission and distribution system operators especially with the emergence of distributed generation (DG). One of such challenges is voltage control. In this thesis, a novel Active Network Management Scheme (ANMS) was proposed with high penetration of Inverter Based Distributed Generations to improve the steady state, dynamic and transient performance of the distribution network. This was illustrated on the 16 bus UKGDS test system, where optimal size and location of the Inverter Based Distributed Generations (IBDGs), Capacitor (CAP) bank, OnLoad Tap Changers (OLTC) position and Voltage Regulator (VRs) set points were optimized to minimize the system losses, improve voltage profile and maximize the dynamic reactive power reserve. In addition to that, the adaptive Master /Slave roles were deployed in the ANMS to achieve the best utilization of each device based on its capability and response time in steady state, dynamic and transient operation. Indeed, the optimization algorithm allows the IBDGs to operate in an inductive mode of operation during steady state resulted in maximizing the dynamic reactive power reserve. Consequently, the IBDGs react with large dynamic margin in response to grid fault leading to enhanced voltage recovery and transient stability margin. A comprehensive system optimization and transient analysis were carried out to demonstrate the performance of the ANMS for enhancing the voltage profile, increasing the penetration level of IBDGs to about 25.56% and improving the transient recovery in response to severe grid fault.
Date of AwardMay 2015
Original languageAmerican English
SupervisorAmer Al Hinai (Supervisor)

Keywords

  • Active Network Management Scheme
  • Inverter Based Distributed Generations
  • Distribution Network
  • System Optimization
  • Transient Analysis.

Cite this

'