Genetic algorithm aided controller design with application to SVC
Genetic algorithm aided controller design with application to SVC
- Author(s): P. Ju ; E. Handschin ; F. Reyer
- DOI: 10.1049/ip-gtd:19960330
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): P. Ju 1 ; E. Handschin 1 ; F. Reyer 1
-
-
View affiliations
-
Affiliations:
1: Faculty of Electrical Engineering, University of Dortmund, Dortmund, Germany
-
Affiliations:
1: Faculty of Electrical Engineering, University of Dortmund, Dortmund, Germany
- Source:
Volume 143, Issue 3,
May 1996,
p.
258 – 262
DOI: 10.1049/ip-gtd:19960330 , Print ISSN 1350-2360, Online ISSN 1359-7051
Usually, it is difficult to use current methods to design a controller with combined continuous and discrete actions. The paper presents a novel approach to solving this problem, i.e. transforming the controller design problem into an optimisation problem and then searching the optimal (or suboptimal) controller parameters by a genetic algorithm. This new approach has been applied to the controller design of a static VAR compensator (SVC) with satisfactory results, which show that the new approach is simple yet powerful.
Inspec keywords: power system control; discrete systems; reactive power control; control system synthesis; static VAr compensators; genetic algorithms; optimal control
Other keywords:
Subjects: Control system analysis and synthesis methods; Power system management, operation and economics; Power and energy control; Control of electric power systems; Optimisation techniques; Discrete control systems; Optimal control
References
-
-
1)
- Haida, T., Akimoto, Y.: `Voltage optimisation by using genetic algorithms', Proc. of ESAP'91, 1991, p. 375–380.
-
2)
- North American Electric Reliability Council Report: ‘Surveyof the voltage collapse phenomenon’. Published byNorth American Reliability Council, 1990.
-
3)
- D.E. Goldberg . (1999) Genetic algorithms in search, optimization and machine learning.
-
4)
- C.W. Taylor . (1994) Power system voltage stability.
-
5)
- J.H. Holland . Outline for a logical theory of adaptive systems. J. ACM , 297 - 314
-
6)
- K. Iba . Reactive power optimization by generic algorithm. IEEE Trans. Power Syst. , 2 , 685 - 692
-
7)
- J.E. Lansberry , L. Wozniak . Adaptive hydrogenator governor tuning with a generic algorithm. IEEE Trans. Power Syst. , 1 , 179 - 183
-
8)
- CIGRE Task Force 38-02-11: ‘Indices predicting voltagecollapseincluding dynamic phenomena’. Preprint, June 1994.
-
9)
- A. Bakirtzis , V. Petridis , S. Kazarlis . Genetic algorithm solution to the economic dispatch problem. IEE Proc., Gener. Transm. Distrib. , 4 , 377 - 382
-
10)
- A.E. Hammad , M.Z. El-Sadek . Prevention of transient voltage instabilities due to induction motorloads by static varcompensators. IEEE Trans. Power Syst. , 3 , 1182 - 1190
-
11)
- , : Conference on Bulk power system voltage stability, security& control — voltage phenomena III, August 1994, Davos, Switzerland.
-
12)
- Ju, P., Handschin, E.: `Parameter estimation of composite induction motor load using genericalgorithms', Proc. int. symp. on Electric power engineering, vol. electricalmachines and drivers, 1995, Stockholm, Sweden, p. 97–102.
-
13)
- CIGRE Task Force 38-02-10: ‘Modelling of voltage collapseincludingdynamic phenomena’, 1993.
-
14)
- Swarup, K.S., Yoshimi, M., Izui, Y., Nagai, N.: `Genetic algorithm approach to environment constrained optimaleconomic dispatch', Proc. of ISAP'94, 1994, France, p. 707–714.
-
15)
- CIGRE Task Force 38-01-03: ‘Planning against voltage collapse’,Electra, 1987, (111), pp. 55–75.
-
16)
- S. Ahmed-Zaid , M. Taleb . Structural modeling of small and large induction motors using integralmanifolds. IEEE Trans. Energy Convers. , 529 - 535
-
17)
- Koishikawa, S., Ohsaka, S., Suzuki, M., Michigami, T., Akimoto, M.: `Advanced control of reactive power supplyenhancing voltage stability of a bulk power transmission system and a new scheme of monitor on voltage security', 38/39-01, CIGRE Session, August 1990, Paris.
-
18)
- K.A. De Jong . Adaptive system design: a genetic approach. IEEE Trans. , 566 - 574
-
1)
Related content
