چكيده به لاتين
Electricity, as one of the foundations of modern life, plays a critical role in contemporary human life. The increasing demand for this energy source, along with the challenges of ensuring its sustainable supply—especially given the limitations of fossil fuel resources and their environmental pollution—are among the most pressing global issues. Therefore, this research aims to provide the necessary prerequisites for the optimal design and development of the electricity distribution network. The electricity supply chain has been modeled in three scenarios: (1) Vision: assuming the relaxation of energy resource capacity constraints, (2) Continuity: assuming the continuation of previous trends in resource utilization changes over the past years, and (3) Target: considering international goals for investment in energy resource development. Using data mining methods, electricity supply and demand for the next 10 years have been forecasted. In this study, the operational costs of various energy resources, as well as the costs associated with 〖CO〗_2 emissions, have been calculated. Using a goal programming method, the model has been optimized to meet electricity demand while minimizing the system’s overall costs and reducing pollutant emissions. Finally, the results from different scenarios have been compared and analyzed to develop an appropriate strategy for providing electricity sustainably, cost-effectively, and in an environmentally friendly manner. The results indicate that operational costs in Scenario 1 are reduced by approximately 400% compared to Scenario 2, while Scenario 3 sees a significant reduction of about 32%, highlighting the positive impact of international strategies and renewable energy use. Moreover, for 〖CO〗_2 emission costs, Scenario 1 achieves zero emissions, and in Scenario 3, emissions are reduced by about 92% compared to Scenario 2.