Comparison of particle swarm and genetic algorithm based design algorithms for PV-hybrid systems with battery and hydrogen storage path

Author:

Paulitschke Martin,Bocklisch Thilo,Böttiger Michael

Publisher

Elsevier BV

Reference17 articles.

1. "Stand-alone power systems for the future: optimal design, operation & control of Solar-Hydrogen energy systems";Ulleberg;PhD thesis, NTNU, Trondheim,1998

2. Bocklisch, T.: "Hybrid energy storage approach for renewable energy applications", Journal of Energy Storage, 2016, doi:10.1016/j.est.2016.01.004.

3. Ipsakis, D.; Stergiopoulos, F.; Ziogou C.: "Analysis of a stand-alone power system based on solar and wind energy with hydrogen long-term storage: Operational experience and control studies”, 6th Mediterranean Conference on Power Generation, Transmission and Distribution, Thessaloniki, Greece, 2008.

4. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages";Kaviani;Renew. Energy,2009

5. "Optimization strategy for element sizing in hybrid power systems";del Real;J. Power Sources.,2009

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