Genetic Algorithm Based Optimal Load Frequency Control in Two-Area Interconnected Power Systems

Milani, Armin Ebrahimi; Mozafari, Babak

doi:10.4172/2229-8711.1000116

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…In recent years soft computing techniques are used to solve power system problems (Arya, Mathur, & Gupta, 2012;Bhaskar, Srinivas & Maheswarapu, 2011;Kurbatsky, Sidorov, Tomin & Spiryaev, 2014;Milani, & Mozafari, 2011;Sadeghi & Hosseini, 2013).…”

Section: Introductionmentioning

confidence: 99%

Application of Support Vector Network for Power System Static Security Evaluation

Mehta

Bhattacharya

Ray³

2015

International Journal of Energy Optimization and Engineering

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This paper uses Support Vector Network (SVN) to examine whether the power system is secured under steady-state operating conditions. A system is considered operationally reliable if the load bus voltages do not fall below a certain limit and if the power flow through lines does not exceed the corresponding allowable values. SVN determines the minimum bus voltage and maximum ratio of line-flow to permissible line-flow. The input variables to the network are the active power of the load buses, power factor of the loads and the net generated powers of the generating buses. IEEE 14-bus system has been taken as an example. The proper kernel function and optimal value of C i. e. penalty parameter has been calculated. A comparison of the performance of SVN and ANN with those calculated by fast decoupled load flow is carried out. Results of the SVN closely agree with that obtained by fast decoupled load-flow and ANN in the case of proportional input vector. ANN is not suitable in the case of disproportionate input vector whereas SVN overcomes this disadvantage.

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