Multi-Objective Short-Term Integration of Hydrothermal Operation with Wind and Solar Power using Nonlinear Programming.

Abstract

Abstract Rapid growth in the global economy and developments increases the energy demands and 80% of the primary energy demand satisfies by fossil fuels. Extensive utilization of fossil fuels and the paucity of precautionary measurements creates two major challenges one environmental pollution and second future energy crises. Contemplating the serious, issues we have to move our energy demands to renewable and sustainable sources, which have less impact on the environment and sustainable. This article presents optimization techniques by using MATLAB toolbox YALMIP and Interior Point Optimizer IPOPT nonlinear programming to achieve multiple objectives one minimize the operational and fuel cost of the thermal power plant. Second, maximize the benefits of solar and wind power by decreasing the discard solar and wind power. In our optimized model, we perform short-term 24-hour scheduling and operation of four-cascaded hydropower reservoirs optimally combine with three thermal power unit’s one wind power plant and one solar power plant, which balance the active power generation with power demand. The result we obtained shows that a significant difference in thermal cost ($), discard power and CPU time of both tolls FMINCON and IPOPT. Discussion on renewable energy sources their impact on the environment and their tendency (2013 to 2017). In the end, calculations are perform for CO2 emission and reduction of the proposed model and compared the results with different scenarios of case 1 to case 5. Results show eloquence contribution of renewable energy sources and their aftermath on the environment and sustainable.