Fuel-fired power plants are the primary source of electricity production in Saudi Arabia. The main goal of this investigation is to reduce the overall costs and emissions of producing electricity from thermal units operated by the Shuqaiq Water and Electricity Company. This work also considers practical thermo-electric constraints, such as power losses, ramps-rate constraints, and environmental optimization function, to align with the sustainability goals of Saudi Vision 2030. The optimization of electric energy delivery is a crucial operation within the energy control center. The focus of this work is to develop an advanced computational technique that reduces the reliance on fossil fuels and minimizes the production cost of electricity, while also considering environmental emissions as an optimization function. An examination is conducted through two distinct practical case studies with power demand of 850 MW—one involving renewable sources and the other without—to assess the effectiveness of the hybrid crow search and JAYA optimization algorithm in optimizing performance. This system includes a multi-area setup with limitations on tie-line power flow constraints. Additionally, the study also involved RETScreen modeling to assess the practical financial, emission, and benchmark analysis of a proposed integrated solar plant. This analysis offers a thorough assessment of the facility’s performance and reliability in practical situations. This study serves as a motivating factor for energy operators, stakeholders, governmental organizations, and grid administrators to invest resources in environmentally-friendly initiatives. The simulation results showed that the proposed approach successfully reduces the electricity cost 2.29% and 3.70% in hybrid energy networks while effectively following system constraints. In addition, the analysis revealed that the optimization algorithm effectively decreases toxic emissions from power plants while also supporting the sustainability objectives of United Nation SDG-7 and Saudi Vision 2030 through the successful integration of renewable sources.