Design of a transient stability scheme to prevent cascading blackouts

M H Epwerfelli, R Dunn, J Brooks

Research output: Contribution to conferencePaper

Abstract

This paper presents a novel optimization technique of the settings for various emergency controls in an electrical power system. The goal of this technique is to prevent a cascading blackout and retrieve a new equilibrium operation point following a severe contingency. The main stabilizing actions are tripping generators together with load shedding. This problem is a complex mixed integer programming problem and it is very difficult to solve by ordinary optimization methods such as mathematical approaches. Genetic Algorithms are search algorithms based on the mechanics of natural selection and natural genetics, and are subject to survival of the fittest among string structures. Since the Genetic Algorithm approach is very successful at solving combinatorial optimization problems, it has been applied to solving the problem of cascading blackouts. A Genetic algorithm approach is used to find the optimal combination of generators and loads to be tripped in order to regain a new state of equilibrium in operation, and hence, to prevent the system from failing in this cascading manner. These solutions are evaluated by using the hybrid transient energy function, and the GA optimization technique is able to select the best solution. The two cases tested in order to assess the feasibility of this technique were the 14-bus IEEE network and the 20-machine, dynamically-reduced England Network. The results presented in this paper show that global or near-global optimum solutions can be ascertained within reasonable amounts of time by this new method.
Original languageEnglish
Pages443-448
Number of pages6
Publication statusPublished - 2007
EventUniversities Power Engineering Conference, 2007. UPEC 2007. 42nd International -
Duration: 1 Jan 2007 → …

Conference

ConferenceUniversities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Period1/01/07 → …

Fingerprint

Genetic algorithms
Regain
Combinatorial optimization
Integer programming
Mechanics
Genetics

Keywords

  • electrical power system
  • combinatorial optimization problems
  • power system control
  • genetic algorithms
  • Cascading blackout
  • load shedding
  • 14-bus IEEE network
  • genetic algorithm
  • hybrid transient energy function
  • optimal control
  • tripping generators
  • Power system stability
  • power system transient stability
  • emergency controls
  • transient stability
  • cascading blackouts
  • dynamically-reduced England Network

Cite this

Epwerfelli, M. H., Dunn, R., & Brooks, J. (2007). Design of a transient stability scheme to prevent cascading blackouts. 443-448. Paper presented at Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International, .

Design of a transient stability scheme to prevent cascading blackouts. / Epwerfelli, M H; Dunn, R; Brooks, J.

2007. 443-448 Paper presented at Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International, .

Research output: Contribution to conferencePaper

Epwerfelli, MH, Dunn, R & Brooks, J 2007, 'Design of a transient stability scheme to prevent cascading blackouts' Paper presented at Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International, 1/01/07, pp. 443-448.
Epwerfelli MH, Dunn R, Brooks J. Design of a transient stability scheme to prevent cascading blackouts. 2007. Paper presented at Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International, .
Epwerfelli, M H ; Dunn, R ; Brooks, J. / Design of a transient stability scheme to prevent cascading blackouts. Paper presented at Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International, .6 p.
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AB - This paper presents a novel optimization technique of the settings for various emergency controls in an electrical power system. The goal of this technique is to prevent a cascading blackout and retrieve a new equilibrium operation point following a severe contingency. The main stabilizing actions are tripping generators together with load shedding. This problem is a complex mixed integer programming problem and it is very difficult to solve by ordinary optimization methods such as mathematical approaches. Genetic Algorithms are search algorithms based on the mechanics of natural selection and natural genetics, and are subject to survival of the fittest among string structures. Since the Genetic Algorithm approach is very successful at solving combinatorial optimization problems, it has been applied to solving the problem of cascading blackouts. A Genetic algorithm approach is used to find the optimal combination of generators and loads to be tripped in order to regain a new state of equilibrium in operation, and hence, to prevent the system from failing in this cascading manner. These solutions are evaluated by using the hybrid transient energy function, and the GA optimization technique is able to select the best solution. The two cases tested in order to assess the feasibility of this technique were the 14-bus IEEE network and the 20-machine, dynamically-reduced England Network. The results presented in this paper show that global or near-global optimum solutions can be ascertained within reasonable amounts of time by this new method.

KW - electrical power system

KW - combinatorial optimization problems

KW - power system control

KW - genetic algorithms

KW - Cascading blackout

KW - load shedding

KW - 14-bus IEEE network

KW - genetic algorithm

KW - hybrid transient energy function

KW - optimal control

KW - tripping generators

KW - Power system stability

KW - power system transient stability

KW - emergency controls

KW - transient stability

KW - cascading blackouts

KW - dynamically-reduced England Network

M3 - Paper

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