Open AccessSolution of large‐scale security constrained optimal power flow by a new bi‐level optimisation approach based on enhanced gravitational search algorithm
Author(s) -
Jahan Mohammad Sadegh,
Amjady Nima
Publication year - 2013
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2012.0697
Subject(s) - gravitational search algorithm , power flow , scale (ratio) , mathematical optimization , flow (mathematics) , computer science , gravitation , power (physics) , algorithm , electric power system , mathematics , mechanics , physics , classical mechanics , quantum mechanics , particle swarm optimization
Security constrained optimal power flow (SCOPF) is a key operation function for modern power systems. In this study, a new bi‐level optimisation approach is proposed to solve this problem considering a comprehensive SCOPF model, including, for example, valve loading effect, multi‐fuel option and prohibited operating zone constraints of thermal units as well as AC network modelling and AC security constraints. Economic dispatch is solved in the lower level of the proposed approach and using its results as the initial solution, SCOPF is solved in the upper level with high convergence rate. For the both levels, a new enhanced gravitational search algorithm is suggested as the optimisation tool. The proposed bi‐level approach is tested on 9‐bus, IEEE 57‐bus, IEEE 118‐bus, IEEE 300‐bus and polish 2746‐bus test systems. Obtained results from the proposed approach for the test cases are compared with the results of other SCOPF solution methods and published literature figures. These comparisons confirm the validity of the developed approach.