decarbonized unit commitment applying water cycle algorithm integrating plug-in electric vehicles

This paper introduces a potentially decarbonizing study on IEEE 30 bus electric network, where the target of electricity production is met the supply side by using alternative sources instead of burning fossil fuel such as renewable energy resources. Continuous improvements and using low-carbon technologies is considered to decarbonize CO2 emissions. A unit commitment study is to optimally minimize emission, losses and costs by replacing conventional generating units with stochastic resources and PEVs. PEVs are provided to vanquish the intermittency and uncertainty of wind and solar energies. Combined Economic Emission Dispatch problem (CEED) is proposed an optimally scheduling of Renewable Energy Resources (RERs) and predetermined processes of (charging/discharging) of PEVs with dispatchable generating units. Two algorithms are used to validate the results. Water cycle algorithm (WCA) is the meta-heuristic algorithm shows its efficiency and durability in minimizing the cost function incorporating costs of CO2 emission. The other conventional technique is dynamic programming (DP) is used to assure the obtained results from WCA.