Optimal Controller for Single Phase Island Photovoltaic Systems
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
Mohammad Esmaeil akbar
1
()
Noradin Ghadimi
2
()
الکلمات المفتاحية: Photovoltaic System- HBMO- Optimal Controller- PID Controller,
ملخص المقالة :
Increasing of word demand load caused a new Distributed Generation (DG) to enter to powersystem. One of the most renewable energy is the Photovoltaic System. It is beneficial to use thissystem in both separately as well as connected to power system using power electronics interface.In this paper an optimal PID controller for Photovoltaic System systems has been developed. Theoptimization technique is applied to PID optimal controller in order to control the voltage ofPhotovoltaic System against load variation, is presents. Nonlinear characteristics of loadvariations as plant input, Photovoltaic System operational behavior demand for high qualityoptimal controller to ensure both stability and safe performance. Thus, Honey Bee MatingOptimization (HBMO) is used for optimal tuning of PID coefficients in order to enhance closedloop system performance. In order to use this algorithm, at first, problem is written as anoptimization problem which includes the objective function and constraints, and then to achievethe most desirable controller, HBMO algorithm is applied to solve the problem. In this study, theproposed controller is applied to the closed loop photovoltaic system behavior. Simulation resultsare done for various loads in time domain, and the results show the efficiency of the proposedcontroller in contrast to the previous controllers.
[1] Jiayi H, Chuanwen J, Rong X. A review
on distributed energy resources and
MicroGrid. Renewable and Sustainable
Energy Reviews 2008; 12: 2472–2483
[2] Nikkhajoei H, Iravani R.Steady-State
Model and Power Flow Analysis of
Electronically-Coupled Distributed
Resource Units. IEEE Trans. Power Del
2007; 22(1):721-728.
[3] Sao CK, Lehn PW.Control and Power
Management of Converter Fed
Microgrids. IEEE Trans. Power Systems
2008;23(3):1088-1098.
[4] Chen CL et al. Design of Parallel
Inverters for Smooth Mode Transfer
Microgrid Applications. IEEE Trans.
Power Electron 2010;25(1):6-15.
[5] Karimi H, Nikkhajoei H, Iravani R.
Control of an Electronically-Coupled
Distributed Resource Unit Subsequent
to an Islanding Event. IEEE Trans.
Power Del 2008;23(1):493-501.
[6] Katiraei F, Iravani MR, Lehn PW.
Micro-Grid Autonomous Operation
During and Subsequent to Islanding
Process. IEEE Trans. Power Del
2005;20(1):248-257.
[7] Katiraei F, Iravani MR. Power
Management Strategies for a Microgrid
with Multiple Distributed Generation
Units. IEEE Trans. Power Systems
2006; 21(4):1821-1831.
[8] Katiraei F, Iravani MR and Lehn PW.
Small-signal dynamic model of a microgrid
including conventional and
electronically interfaced distributed
resources. IET Gener. Transm. Distrib
2007; 1(3): 369–378.
[9] Cheng PT, Chen CA, Lee TL and Kuo
SY. A Cooperative Imbalance
Compensation Method for Distributed-
Generation Interface Converters. IEEE
Trans. Ind. Appl 2009;45(2):805-815
[10] Yannis M, Magdalene M, Georgios D
(2011). “Honey bees mating
optimization algorithm for the Euclidean
traveling salesman problem,” Infor. Sci.
181(20):4684–4698
[11] Niknam T (2011). An efficient multiobjective
HBMO algorithm for
distribution feeder reconfiguration.
Expert Syst. Appl. 38(3):2878–2887
[12] Noradin Ghadimi. PI Controller Design
for Photovoltaic Systems in Islanding
Mode Operation. World Applied
Sciences Journal 15 (3): 326-330, 2011
