PSO based optimal control for maximizing PV penetration

Recent studies suggest that in medium and long terms, distributed solar photo-voltaic generator (SPVG) will become commercially so attractive that large-scale implementation of this type can be seen in many parts of the world. The increase in the amount of renewable energy will cause stability and security issues in power system. An effective method is used to find out the maximum allowable penetration of renewable energy, in this case Solar PV energy. IEEE 14 bus dynamic model is considered for conducting penetration analysis. Particle swarm optimization (PSO) based algorithm to find the optimal location and maximum penetration at the optimal location is proposed in this paper. Results present the maximum system penetration, optimal location and setting of SPVG, maximum safe bus loading beyond which system becomes unstable.

[1]  J. Jatskevich,et al.  Efficient Approaches for Modeling and Simulating Photovoltaic Power Systems , 2013, IEEE Journal of Photovoltaics.

[2]  I. Musirin,et al.  Novel fast voltage stability index (FVSI) for voltage stability analysis in power transmission system , 2002, Student Conference on Research and Development.

[3]  A. Yazdani,et al.  A Control Methodology and Characterization of Dynamics for a Photovoltaic (PV) System Interfaced With a Distribution Network , 2009, IEEE Transactions on Power Delivery.

[4]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[5]  Weerakorn Ongsakul,et al.  Development of PSO based control algorithms for maximizing wind energy penetration , 2011, 2011 IEEE Power and Energy Society General Meeting.

[6]  Mahmoud Moghavvemi,et al.  Technique for contingency monitoring and voltage collapse prediction , 1998 .

[7]  N. Jenkins,et al.  A model of PV generation suitable for stability analysis , 2004, IEEE Transactions on Energy Conversion.

[8]  Tibin Joseph,et al.  Optimal Placement of Solar PV in DistributionSystem using Particle Swarm Optimization , 2013 .

[9]  A. Elmitwally,et al.  New control approach for a PV-diesel autonomous power system , 2008 .

[10]  Behnam Azadi Rad Optimum Design of DG-Based Distribution System Considering Power Quality and Reliability Indices Using PSO , 2013 .

[11]  Nadarajah Mithulananthan,et al.  Impact of large-scale PV penetration on power system oscillatory stability , 2010, IEEE PES General Meeting.

[12]  F. Milano,et al.  An open source power system analysis toolbox , 2005, 2006 IEEE Power Engineering Society General Meeting.

[13]  Guang Yang,et al.  Photovoltaic power penetration capacity assessment considering static voltage stability , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[14]  Azah Mohamed,et al.  Voltage contingency selection technique for security assessment , 1989 .

[15]  J. A. Domínguez Navarro,et al.  Definitions for Distributed Generation : A revision , 2005 .