Designing a probabilistic model of sustainable supply chain in the electricity industry with the influence of renewable products

Increasing greenhouse gas emissions and global warming and government support for renewable sources, as well as recent advances in electricity generation and related technologies, have led to the penetration of renewable energy products in the electricity supply chain. The infiltration of these resources, despite the uncertainty in their output power, has faced serious challenges in power supply chain planning. In this research, an effective and efficient method for security and probabilistic planning of power supply chain development is presented, taking into account the uncertainty of renewable energy production and the uncertainty of peak consumption. In the proposed method, a high limit for the allowable load cut is considered and the effect of existing uncertainties and changes in the high load cut limit on the investment cost of the supply chain is evaluated. The proposed method is implemented on the network by MATLAB software and solved by genetic algorithm. The final model of this method can be used effectively to plan the supply chain of the electricity network with the influence of renewable energy products.