Journal of sustainable Energy Systems

Journal of sustainable Energy Systems

Determining the Optimal Capacity of Photovoltaic Units for Non-Governmental Industrial Customers Above one Megawatt, Considering Electricity Market Rules in Iran

Document Type : Original Article

Authors
Davood Sheikh Soleimani 1
Elaheh Mashhour 2
1 Master of Science, Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2 Associate Professor, Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
10.22059/ses.2024.378041.1075
Abstract
The overall objective of this paper is to determine the optimal capacity of photovoltaic (PV) units for industrial customers above one megawatt who are eligible under Article 16 of the Knowledge-Based Production Support Law to reduce their electricity supply costs. Considering the available options in the Iranian electricity market to meet the electricity demand of these customers, the paper presents an optimization model to determine the optimal PV unit capacity and the optimal share of power purchase through bilateral contract. The model has two main objectives: minimizing investment costs and minimizing electricity supply costs for industrial customers above one megawatt in the non-governmental sector. The proposed model is designed based on the existing tariff structure in Iran to calculate electricity bills for eligible industrial customers, which involve a combined tariff. The climatic conditions of Khuzestan Province are considered when calculating the amount of energy receivable from the PV unit. The optimization problem was solved using a genetic algorithm and was applied to an industrial customer with a contract demand of 2 MW under various scenarios. In all cases, the results demonstrate the effectiveness of the proposed model.
Keywords
Photovoltaic
Bilateral Contract
Article 16 of the Law on Supporting Knowledge-Based Production
Industrial Customers
Cost of Electricity Supply
Subjects
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Journal of sustainable Energy Systems
Volume 3, Issue 1
Winter 2024
Pages 53-71