Economical and Technical Assessment of Hybrid Renewable Energy Systems for Optimal Performance Applied in Hurghada, Egypt
Fathy Ghonima1, M. Ezzat2, T.S. Abdel-Salam3
1Fathy Ghonima, MSc student in Department of Electrical Power & Machine, Faculty of Engineering, Ain Shams University ,Cairo ,Egypt.
2M. Ezzat, Assistant Professor in Department of Electrical Power & Machine ,Faculty of Engineering, Ain Shams University, Cairo ,Egypt.
3T.S. Abdel-Salam, Professor in Department of Electrical Power & Machine, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 16, 2020. | Manuscript published on May 30, 2020. | PP: 151-161 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1302059120/2020©BEIESP | DOI: 10.35940/ijrte.A1302.059120
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with economic and technical evaluation of the hybrid power system which is fed six-megawatt load located in a city in Egypt called Hurghada. There is two types of economical evaluation. The first type is Economical evaluation which has two parts, the first part is cost estimation to know the price of generating power of the hybrid system in every season to reveal the lowest and the highest cost of the power unit in every season and The second part is an economic load dispatch for the six-megawatt load to know which hybrid system topology gives the required power at low cost and which topology gives the required power at a higher cost, economic load dispatch made for eight possible hybrid system topologies for four hybrid system units. The technical evaluation made by studying generating reliability indices Loss of Load Probability (LOLP), Loss of Load Expectation, (LOLE) Expected Energy Not Supplied (EENS) in every season of the year to know which season is more reliable to supply power to the load area. Studying generating reliability at the probabilities for generating units to achieve reliability index calculation according to the load duration curve of the load area in one year. The evaluation made by simulation of the hybrid system in MATLAB Simulink in every season and optimize power by using the Genetic Algorithm and Partial Swarm Optimization to ensure economical and technical optimal performance of the hybrid system.
Keywords: Economic load dispatch, Generation system reliability, Levelised cost of energy, solar-wind-diesel-fuel cell hybrid power system.
Scope of the Article: Next Generation Internet & Web Architectures