DESIGN OF PID CONTROLLER OF HYBRID RENEWABLE WIND-DIESEL SYSTEM BASED ON MULTIOBJECTIVE OPTIMIZATION TECHNIQUES IN REMOTE AREAS
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Apr 10, 2019
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: As a main electric power source for remote area, standalone diesel generators have many problems such as operation at a load factor below 50%, cost of fuel including transportation and Co2 emissions. So the hybrid renewable wind-diesel system is a must for solving that problem. The output power of wind turbine is proportional to the cube of wind speed, which causes the fluctuations of the generated output power that may lead to frequency deviation for the hybrid micro grid system. Consequently, frequency is one of the conditions of quality conditions of any micro grid. So keeping frequency within the allowable standard limits is main objective. The micro grid system is consists of 150 KW wind turbine generator, 200 KW diesel generator to feed a load. MOPSO algorithm optimizes the gains of the blade pitch PID controller of the wind turbine generator. The proposed system is compared with GA-PID optimized and classical PI controllers. Simulation has been carried out with a step disturbance in wind input and load power with sensitivity analysis based on parameter variation. Results prove the robustness of MOPSO based scheme that damps the oscillations in the system frequency deviation response.
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References
[1] 1. Nacfaire, H.: , Wind-Diesel and Autonomous Energy Systems, , New York, NY, USA: Elsevier, 1989
[2] 2. Senjyu, T., E. Omine, D., Hayashi, H., Sekine, T., Funabashi:, Application of decentralized control for remote power system stabilization by installing renewable energy power plant, IEEJ Trans. Elect.Electron.Eng, Vol. 3, no. 5, 2008, p. 473-481.
[3] 3. Khelif, A., Talha, A., Belhamel, M., H. Arab, A.: , Feasibility study of hybrid Diesel-PV power plants in the southern of Algeria: Case study on AFRA power plant,, Int. J. Elect. Power Energy Syst., Vol. 43, no.10, 2013, p. 553-564.
[4] 4. G. Slootweg, J., L Kling, W.: , Is the answer blowing in the wind?, , IEEE Power Energy Mag., Vol. 1, no.6, 2003, p. 26-33.
[5] 5. Datta, M., Senjyu, T., Yona, A., Funabashi, T., H. Kim, C.:, A coordinated control method for leveling PV output power fluctuations of PV-diesel hybrid systems connected to isolated power utility, , IEEE Trans. Energy Convers, Vol. 24, no.1, 2009, p. 153-162.
[6] 6. S. Bhatti, T., A. F. Al-Ademi, A., K. Bansal, N.: , Load frequency control of isolated wind diesel hybrid power systems, , Energy conversion and management, Vol. 38, no.9, 1997, p. 829-837.
[7] 7. Das, D., K. Aditya, S., P. Kothari, D.: , Dynamics of diesel and wind turbine generators on an isolated power system, , International Journal of Electrical Power and Energy Systems, Vol. 21, no.3, 1999, p.183-189.
[8] 8. Supriyadi, C., Nandar, A.: , Robust PI control of smart controllable load for frequency stabilization of microgrid power system, , Renewable Energy, Vol. 56, 2013, p. 16-23.
[9] 9. Ali, R., Mohamed, T., Qudaih, Y., Mitani, Y.: , A New Load Frequency Control Approach in an Isolated Small Power Systems Using Coefficient Diagram Method, , International Journal of Electrical Power and Energy Systems, Vol. 56, 2014, p. 110-116.
[10] 10. Mishra, S., Mallesham, G., Jha, A.: , Design of Controller and Communication for Frequency Regulation of a Smart Microgrid, , IET Renewable Power Generation, Vol. 6, 2012, p.248-258.
[11] 11. Sahoo, L., et al.: , An efficient GA–PSO approach for solving mixed-integer nonlinear programming problem in reliability optimization, , Swarm and Evolutionary Computation, 2014, p. 43-51.
[12] 12. Alattar, A. H., Selem, S. I., Metwally, H. M. B., Lotfy, M. E., Senjyu, T., , Load frequency control scheme for hybrid wind diesel system based on mine blast optimization algorithm, , Journal of electrical engineering, accepted for publication, 2018.
[13] 13. Khorasaninejad, E. and H. Hajabdollahi.: , Thermo-economic and environmental optimization of solar assisted heat pump by using multi objective particle swam algorithm. , Energy, Vol. 72, 2014, p. 680-690.
[14] 14. Ghorbani, N., Kasaein, A., Toopshekan, A., Bahrami, L., Magahami, A.: , Optimizing a hybrid wind-PV-Battery system Using GA-PSO and MOPSO for reducing Cost and Increasing Reliability, , Energy, Vol. 154, 2017, p. 581-591.
[2] 2. Senjyu, T., E. Omine, D., Hayashi, H., Sekine, T., Funabashi:, Application of decentralized control for remote power system stabilization by installing renewable energy power plant, IEEJ Trans. Elect.Electron.Eng, Vol. 3, no. 5, 2008, p. 473-481.
[3] 3. Khelif, A., Talha, A., Belhamel, M., H. Arab, A.: , Feasibility study of hybrid Diesel-PV power plants in the southern of Algeria: Case study on AFRA power plant,, Int. J. Elect. Power Energy Syst., Vol. 43, no.10, 2013, p. 553-564.
[4] 4. G. Slootweg, J., L Kling, W.: , Is the answer blowing in the wind?, , IEEE Power Energy Mag., Vol. 1, no.6, 2003, p. 26-33.
[5] 5. Datta, M., Senjyu, T., Yona, A., Funabashi, T., H. Kim, C.:, A coordinated control method for leveling PV output power fluctuations of PV-diesel hybrid systems connected to isolated power utility, , IEEE Trans. Energy Convers, Vol. 24, no.1, 2009, p. 153-162.
[6] 6. S. Bhatti, T., A. F. Al-Ademi, A., K. Bansal, N.: , Load frequency control of isolated wind diesel hybrid power systems, , Energy conversion and management, Vol. 38, no.9, 1997, p. 829-837.
[7] 7. Das, D., K. Aditya, S., P. Kothari, D.: , Dynamics of diesel and wind turbine generators on an isolated power system, , International Journal of Electrical Power and Energy Systems, Vol. 21, no.3, 1999, p.183-189.
[8] 8. Supriyadi, C., Nandar, A.: , Robust PI control of smart controllable load for frequency stabilization of microgrid power system, , Renewable Energy, Vol. 56, 2013, p. 16-23.
[9] 9. Ali, R., Mohamed, T., Qudaih, Y., Mitani, Y.: , A New Load Frequency Control Approach in an Isolated Small Power Systems Using Coefficient Diagram Method, , International Journal of Electrical Power and Energy Systems, Vol. 56, 2014, p. 110-116.
[10] 10. Mishra, S., Mallesham, G., Jha, A.: , Design of Controller and Communication for Frequency Regulation of a Smart Microgrid, , IET Renewable Power Generation, Vol. 6, 2012, p.248-258.
[11] 11. Sahoo, L., et al.: , An efficient GA–PSO approach for solving mixed-integer nonlinear programming problem in reliability optimization, , Swarm and Evolutionary Computation, 2014, p. 43-51.
[12] 12. Alattar, A. H., Selem, S. I., Metwally, H. M. B., Lotfy, M. E., Senjyu, T., , Load frequency control scheme for hybrid wind diesel system based on mine blast optimization algorithm, , Journal of electrical engineering, accepted for publication, 2018.
[13] 13. Khorasaninejad, E. and H. Hajabdollahi.: , Thermo-economic and environmental optimization of solar assisted heat pump by using multi objective particle swam algorithm. , Energy, Vol. 72, 2014, p. 680-690.
[14] 14. Ghorbani, N., Kasaein, A., Toopshekan, A., Bahrami, L., Magahami, A.: , Optimizing a hybrid wind-PV-Battery system Using GA-PSO and MOPSO for reducing Cost and Increasing Reliability, , Energy, Vol. 154, 2017, p. 581-591.