Design the Optimal Number of Components in a Grid-Connected Hybrid Power Generation System

mahdi heidari

Abstract


Hybrid power generation systems are an effective solution for the variable generated power of renewable energy sources. In this paper, a grid-connected hybrid power generation system including wind turbines, solar panels, wave generators and power storage batteries for a village in the Chabahar Bay in southeastern of Iran is optimally designed. The purpose of selecting this region is to investigate the economic feasibility of using wave generators in hybrid power generation systems. In the design, during various operating scenarios simulated with Homer software, adding power generation resources to the village will provide part of the required power locally, which will reduce the cost of purchasing electricity from the power grid, and even profitability is also achieved with the sale of electricity to the power grid. On the other hand, the reliability of power grid is improved in terms of the Loss of Power Supply Probability (LPSP) index.

Keywords


Hybrid Power System; LPSP; Homer; Sensitivity Analysis; Chabahar Bay

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References


Q. Zhou, Y. Bai, Y. Li, X. Wang, H. Wang, M. Du, et al., “Reviews of development and utilization of tidal energy over Chinese offshoreâ€, in OCEANS 2016-Shanghai, IEEE, Shanghai, pp. 1-5, 2016.

World Energy Outlook 2014, IEA, International Energy Agency, Paris, 2014.

L. Freris and D. Infield, Renewable energy in power systems, John Wiley & Sons, 2008.

A. Kanase-Patil, R. Saini, and M. Sharma, “Integrated renewable energy systems for off grid rural electrification of remote areaâ€, Renewable Energy, vol. 35, pp. 1342-1349, 2010.

P. Ray, S. Mohanty, and N. Kishor, “Small-signal analysis of autonomous hybrid distributed generation systems in presence of ultracapacitor and tie-line operationâ€, Journal of Electrical engineering, vol. 61, pp. 205-214, 2010.

J. Brouwer, Hybrid gas turbine fuel cell systems, 2006.

N. Barsoum and W. Goh, “Modeling the Feasibility of an Integrated Hydrogen Hybrid Energy System for Stand Alone Power Systemâ€, in Proceeding, 2006.

V. A. Ani, “Simulation of photovoltaic/diesel hybrid power generation system with energy storage and supervisory controlâ€, International Journal of Renewable Energy Research, vol. 3, pp. 605-614, 2013.

M. B. Anwar, M. S. El Moursi, and W. Xiao, “Novel Power Smoothing and Generation Scheduling Strategies for a Hybrid Wind and Marine Current Turbine Systemâ€, IEEE Transactions on Power Systems, vol. 32, pp. 1315-1326, 2017.

N. S. Jayalakshmi, D. N. Gaonkar and P. B. Nempu, “Power Control of PV/Fuel Cell/Supercapacitor Hybrid System for Stand-alone Applicationsâ€, International Journal of Renewable Energy Research, vol. 6, no. 2, pp. 672-679, 2016.

K. Murugesan and V. Senniappan, “Dynamic Modelling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle Systemâ€, International Journal of Renewable Energy Research, vol. 3, no. 1, pp. 139-150, 2015.

M. Uzunoglu, O. Onar, and M. Alam, “Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applicationsâ€, Renewable energy, vol. 34, pp. 509-520, 2009.

D. Rastler, Electricity energy storage technology options: a white paper primer on applications, costs and benefits, Electric Power Research Institute, 2010.

P. F. Ribeiro, B. K. Johnson, M. L. Crow, A. Arsoy, and Y. Liu, “Energy storage systems for advanced power applicationsâ€, Proceedings of the IEEE, vol. 89, pp. 1744-1756, 2001.

O. Krishan, “Optimum sizing and economical assessment of grid integrated hybrid system for a rural village: A case studyâ€, in Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE International Conference on, pp. 1-5, 2016.

A. Amevi, “Performance Analysis of Particle Swarm Optimization Approach for Optimizing Electricity Cost from a Hybrid Solar, Wind and Hydropower Plantâ€, International Journal of Renewable Energy Research, vol. 6, no. 1, pp. 323-334, 2016.

B. S. Borowy and Z. M. Salameh, “Optimum photovoltaic array size for a hybrid wind/PV systemâ€, IEEE Transactions on energy conversion, vol. 9, pp. 482-488, 1994.

S. Karaki, R. Chedid, and R. Ramadan, “Probabilistic performance assessment of wind energy conversion systemsâ€, IEEE Transactions on Energy Conversion, vol. 14, pp. 217-224, 1999.

H. Shahinzadeh, M. Moazzami, M. Abbasi, H. Masoudi, and V. Sheigani, “Smart design and management of hybrid energy structures for isolated systems using biogeography-based optimization algorithmâ€, in Smart Grids Conference (SGC), pp. 1-7, 2016.

H. Yang, W. Zhou, L. Lu, and Z. Fang, “Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithmâ€, Solar energy, vol. 82, pp. 354-367, 2008.

S. B. Silva, M. M. Severino, and M. A. G. de Oliveira, “Sizing and optimization of hybrid photovoltaic, fuel cell and battery systemâ€, IEEE Latin America Transactions, vol. 9, no. 1, pp. 817-822, 2011.

J. G. Castellanos, M. Walker, D. Poggio, M. Pourkashanian, and W. Nimmo, “Modelling an off-grid integrated renewable energy system for rural electrification in India using photovoltaics and anaerobic digestionâ€, Renewable Energy, vol. 74, pp. 390-398, 2015.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i1.6795.g7310

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