TITLE:
Power System Reactive Power Optimization Based on Fuzzy Formulation and Interior Point Filter Algorithm
AUTHORS:
Zheng Fan, Wei Wang, Tian-jiao Pu, Guang-yi Liu, Zhi Cai, Ning Yang
KEYWORDS:
Power System; Reactive Power Optimization; Fuzzy; Filter; Interior-point Algorithm; Online Calculation
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
October
31,
2013
ABSTRACT: 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.