Optimum design of a hybrid PV–CSP–LPG microgrid with Particle Swarm Optimization technique

Designing an energy system using multiple energy sources including renewables and providing multiple energy services (e.g. electricity, heating) can enhance the reliability and efficiency of the sy ...

[1]  Anirban Sengupta,et al.  Time Varying vs. Fixed Acceleration Coefficient PSO Driven Exploration during High Level Synthesis: Performance and Quality Assessment , 2014, 2014 International Conference on Information Technology.

[2]  Sunanda Sinha,et al.  Review of software tools for hybrid renewable energy systems , 2014 .

[3]  Niladri Chakraborty,et al.  Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System , 2011, SEMCCO.

[4]  Jukka Paatero,et al.  Driving and hindering factors for rural electrification in developing countries: Lessons from Bangladesh , 2013 .

[5]  D. Kammen,et al.  Community-Based Electric Micro-Grids Can Contribute to Rural Development: Evidence from Kenya , 2009 .

[6]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[7]  Subhes C. Bhattacharyya,et al.  Rural electrification through decentralised off-grid systems in developing countries. , 2013 .

[8]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[9]  Jukka Paatero,et al.  Evaluation of choices for sustainable rural electrification in developing countries: A multicriteria approach , 2013 .

[10]  Sanghamitra Bandyopadhyay,et al.  Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients , 2007, Inf. Sci..

[11]  Matthew Orosz,et al.  Dynamic Simulation of Performance and Cost of Hybrid PV-CSP-LPG Generator Micro Grids With Applications to Remote Communities in Developing Countries , 2015 .

[12]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[13]  O. Weck,et al.  A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM , 2005 .

[14]  Felix A. Farret,et al.  Micropower System Modeling with Homer , 2006 .