Power System Reactive Power Optimization Based on Fuzzy Formulation and Interior Point Filter Algorithm


Considering the soft constraint characteristics of voltage constraints, the Interior-Point Filter Algorithm is applied to solve the formulation of fuzzy model for the power system reactive power optimization with a large number of equality and inequality constraints. Based on the primal-dual interior-point algorithm, the algorithm maintains an updating “filter” at each iteration in order to decide whether to admit correction of iteration point which can avoid effectively oscillation due to the conflict between the decrease of objective function and the satisfaction of constraints and ensure the global convergence. Moreover, the “filter” improves computational efficiency because it filters the unnecessary iteration points. The calculation results of a practical power system indicate that the algorithm can effectively deal with the large number of inequality constraints of the fuzzy model of reactive power optimization and satisfy the requirement of online calculation which realizes to decrease the network loss and maintain specified margins of voltage.

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Z. Fan, W. Wang, T. Pu, G. Liu, Z. Cai and N. Yang, "Power System Reactive Power Optimization Based on Fuzzy Formulation and Interior Point Filter Algorithm," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 693-697. doi: 10.4236/epe.2013.54B134.

Conflicts of Interest

The authors declare no conflicts of interest.


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