A new approach for DG planning at the viewpoint of the independent DG investor, a case study of Iran
Fatemeh Barati
School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Search for more papers by this authorCorresponding Author
Shahram Jadid
School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Correspondence
Shahram Jadid, Electrical Engineering Department, Iran University of Science and Technology, Daneshgah Avenue, Hengam Street, Resalat Square, Tehran, Iran.
Email: [email protected]
Search for more papers by this authorAli Zangeneh
Department of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), Tehran, Iran
Search for more papers by this authorFatemeh Barati
School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Search for more papers by this authorCorresponding Author
Shahram Jadid
School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Correspondence
Shahram Jadid, Electrical Engineering Department, Iran University of Science and Technology, Daneshgah Avenue, Hengam Street, Resalat Square, Tehran, Iran.
Email: [email protected]
Search for more papers by this authorAli Zangeneh
Department of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), Tehran, Iran
Search for more papers by this authorSummary
Over the last decade, distributed generation units have been proposed to provide a part of the required energy of end-use customers. In this paper, a comprehensive model is presented to perform the distributed generation expansion planning from the independent investor's viewpoint. The objective function is suggested based on the payback period and with considering the budget limit. The investment and operation costs are included in the problem. The investment cost consists of the costs of equipment, distribution line installation, upgrading of upstream substation, gas and water pipe installations, and land. The genetic algorithm is applied to determine the optimal technology, location, and size of the distributed generation units. The performance of the proposed model is evaluated via a realistic case study, and the effect of a bank loan is discussed in the numerical results. Finally, the impact of the investor's investment decisions on the power system is analyzed.
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