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Saeed Reza Nazari Estahbanati

A Novel Techno-Economical Optimization Approach Based on Linear Integer Programing (LIP) for Hybrid Renewable systems. Saeed Reza Nazari Estahbanati Department of Mechanical Engineering, University of Sistan and Baluchestan. S . Masoud Barakati

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Saeed Reza Nazari Estahbanati

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  1. A Novel Techno-Economical Optimization Approach Based on Linear Integer Programing (LIP) for Hybrid Renewable systems Saeed Reza NazariEstahbanati Department of Mechanical Engineering, University of Sistan and Baluchestan. S. MasoudBarakati Department of Power Electronic Engineering, University of Sistan and Baluchestan. MehriMehrjoo Department of Telecommunication, University of Sistan and Baluchestan. Mohammad Ali YazdanpanahJahromi Department of Mechanical Engineering, University of Guilan.

  2. WindTurbine Power • Adjusting the measured wind speed • The weibull distribution function 1/7 for open land

  3. Power curve of small wind turbine “Lakota S, SC” • Output energy of wind turbine

  4. PV Array Power

  5. b, usually changes from 0.01 to 0.18.

  6. Operation of Battery • Capacity of the BT depends on temperature • δCsuggested 0.6 % per degree • The BT current rate • ηinverter= 92% • The Battery SOC SOCmax=1, SOCmin=1-DOD. and DOD is 60%.

  7. Economic Analysis • Unit Cost of Electricity Energy ATED stands the annual total energy demand in (kWh).

  8. Reliability Analysis • Loss of Power Supply Probability

  9. RESUALTS • The proposed methodology has been used to achieve the proper size of off-grid power system, to supply the load demand of a remote area by using of branch and cut based on linear integer programing (LIP). The typical meteorological of one year hourly data collected for solar radiation, temperature and wind speed. The location of Marvdasht, Fars, Iran (Latitude: 29°50'N, Longitude: 52°40'E) is chosen for case study. Results displayed as an optimal Pareto front. Each solution of the best Pareto front was achieved by a combination of hybrid systems in some manner to reach higher reliability.

  10. The best configurations among the results are shown in below table. The lowest Unit cost of electricity energy (UCEE) achieved in related on the candidate number 5 but the lowest LPSP is given by choice 3.

  11. The relation between LPSP and UCEE is shown in below figure. With increasing the LPSP the value of the UCEE is decreased and vice versa by decreasing the value of the LPSP the UCEE is increasing. The Branch and cut method is a suitable method to reach the best size. It is needed lower time in comparison of the evolutionary methods to reach the results and it guarantees that the obtain results is really the optimal solution.

  12. I really appreciate for your concern The End

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