Transmission congestion management and security cost optimization in deregulated electricity markets

Rights statement
Awarding institution
  • University of Strathclyde
Date of award
  • 2020
Thesis identifier
  • T15652
Person Identifier (Local)
  • 201366163
Qualification Level
Qualification Name
Department, School or Faculty
  • Two sensitivity factors, namely the power transfer distribution factor (PTDF) and the impedance based sensitivity factor (ZS), are proposed respectively in the thesis to calculate the power flow contribution of each bus to the transmission network congestion. Generation re-dispatch and the corresponding security cost allocation are based on the calculated power flow contribution. The proposed generation re-dispatch method and the proposed security cost allocation method both with two sensitivity factors are validated respectively on four test systems including a modified IEEE-14 bus system, a modified IEEE-30 bus system, a modified IEEE-57 bus system and a modified IEEE-118 bus system.;The experimental results are obtained including the generation re-dispatch MW amount of each generator selecting different locations of slack bus, the resulted security cost and the security cost allocation to each load. The comparisons between two sensitivity-based methods on both generation re-dispatch and security cost allocation show that the PTDF-based method and the ZS-based method are both dependent on the location of slack bus selection, which increase the risks of inaccuracy and complexity.;The ZS-based method involves more generators in re-dispatch stage than the PTDF-based method, consequently results in higher security cost. Moreover, with intense level of congestion, such security cost difference between the two methods becomes larger. Compared with the ZS-based method, the PTDF-based method is more reliable on security cost allocation since in large bus system, for example, the 118-bus system, the allocation results by the ZS-based method appears unreasonable.
Advisor / supervisor
  • Lo, K. L.
Resource Type
Date Created
  • 2020
Former identifier
  • 9912896293302996