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Biruk Tessema and Gary G. Yen, “A Self Adaptive Penalty Function Based Algorithm for Constrained Optimization,” IEEE Congress on Evolutionary Computation, Oklahoma State University, Stillwater, 2006, pp 246-253.

has been cited by the following article:

• TITLE: Coordinated Voltage Control in Distribution Network with Renewable Energy based Distributed Generation

  AUTHORS: Mohd Khairun Nizam Mohd Sarmin, Worawat Nakawiro, MohdZamriChe Wanik, Mohd FadzilMohd Siam, ZahrulFaizi Hussien, Ahmad Asrul Ibrahim, Ahmad Kamil Mat Hussin

  KEYWORDS: Photovoltaic, Distributed Generation, Particle Swarm Optimisation, DigSILENT, Coordinated Control

  JOURNAL NAME: Engineering, Vol.5 No.1B, January 16, 2013

  ABSTRACT: This paper presentsa voltage control strategy for power distribution systems with interconnected renewable energy based distributed generators (DGs). The control strategy coordinating conventional voltage control devices and reactive power from DG.A mixed-integer nonlinear programming problem was formulated and solved by particle swarm optimization (PSO). The code is written using DigSILENT programming language (DPL) and implemented inside DigSILENT power factory simulation software. All system constraints and operating limits are considered. The optimal power flow based approach can incorporate various uncertainties such as intermittent power characteristics and varying load demand. The proposed method is tested using real distribution network to demonstrate its effectiveness. The merits of the proposed method over the classical local-based control are presented in the simulation results. It is demonstrated that the proposed method is capable of keeping the system voltage within operating limit. Power losses is at the same time is minimized in comparison to the losses using conventional method.