APPLICATION OF EXTENDED EVOLUTIONARY PROGRAMMING TO SVC PLACEMENT
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APPLICATION OF EXTENDED EVOLUTIONARY PROGRAMMING TO SVC PLACEMENT
Automation of Electric Power SystemsVol. 24, Issue 13, (2000)
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Published:2000
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[J]. Automation of electric power systems, 2000, 24(13).
DOI:
[J]. Automation of electric power systems, 2000, 24(13).DOI:
APPLICATION OF EXTENDED EVOLUTIONARY PROGRAMMING TO SVC PLACEMENT
摘要
An extended evolutionary programming (EXEP) technique is proposed for optimal solution of the SVC placement in voltage stability enhancement. Multiple genetic transformation operators are used to ensure that the global optimal solution can be obtained. The problem is posed as the minimization of the function whose objectives are to increase the reactive power margin
the reactive power spinning reserve and the system voltage profile. At the same time it is required that the transmission losses are reduced and the additional cost of new SVC devices is minimal. All the operational inequality constraints are transformed to the objective function by using quadratic and cosine penalty functions. Numerical results show that EXEP technique is superior to simulated annealing(SA) technique.
Abstract
An extended evolutionary programming (EXEP) technique is proposed for optimal solution of the SVC placement in voltage stability enhancement. Multiple genetic transformation operators are used to ensure that the global optimal solution can be obtained. The problem is posed as the minimization of the function whose objectives are to increase the reactive power margin
the reactive power spinning reserve and the system voltage profile. At the same time it is required that the transmission losses are reduced and the additional cost of new SVC devices is minimal. All the operational inequality constraints are transformed to the objective function by using quadratic and cosine penalty functions. Numerical results show that EXEP technique is superior to simulated annealing(SA) technique.