A Deep Learning-Based Approach for Generation Expansion Planning Considering Power Plants Lifetime

Majid Dehghani, Mohammad Taghipour, Saleh Sadeghi Gougheri, Amirhossein Nikoofard, Gevork B. Gharehpetian and Mahdi Khosravy
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Majid Dehghani: Department of Electrical Engineering, Amirkabir University of Technology, Tehran 159163-4311, Iran
Mohammad Taghipour: Department of Electrical Engineering, Amirkabir University of Technology, Tehran 159163-4311, Iran
Saleh Sadeghi Gougheri: Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran 196976-4499, Iran
Amirhossein Nikoofard: Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran 196976-4499, Iran
Gevork B. Gharehpetian: Department of Electrical Engineering, Amirkabir University of Technology, Tehran 159163-4311, Iran
Mahdi Khosravy: Cross Labs, Cross-Compass Ltd., Tokyo 104-0045, Japan

Energies, 2021, vol. 14, issue 23, 1-21

Abstract: In Generation Expansion Planning (GEP), the power plants lifetime is one of the most important factors which to the best knowledge of the authors, has not been investigated in the literature. In this article, the power plants lifetime effect on GEP is investigated. In addition, the deep learning-based approaches are widely used for time series forecasting. Therefore, a new version of Long short-term memory (LSTM) networks known as Bi-directional LSTM (BLSTM) networks are used in this paper to forecast annual peak load of the power system. For carbon emissions, the cost of carbon is considered as the penalty of pollution in the objective function. The proposed approach is evaluated by a test network and then applied to Iran power system as a large-scale grid. The simulations by GAMS (General Algebraic Modeling System, Washington, DC, USA) software show that due to consideration of lifetime as a constraint, the total cost of the GEP problem decreases by 5.28% and 7.9% for the test system and Iran power system, respectively.

Keywords: bidirectional LSTM; deep learning; generation expansion planning (GEP); lifetime; planning; power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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