The stable and economical system were key indicators that operators always aim for. This becomes even more crucial when the system becomes multifunctional, integrating renewable energy sources, electric vehicle charging station (EVCS) loads. This issue has led to many complex constraints in the calculation of development and infrastructure planning that managers focus on. In this study, we proposed an improved chaotic equilibrium optimization (CEO) algorithm, derived from the equilibrium optimization (EO) algorithm, to solve the optimal charging scheduling problem for EVCS combined with effective power dispatch from generating sources, considering the penetration ratio of renewable energy with the objective of minimizing operational costs, both with and without considering emission costs and voltage stability at the generation nodes. The IEEE 30-bus standard network is applied, simulated using Matlab software through 4 test cases and 3 coordination scenarios over 24-h real-time framework to evaluate the superiority of the proposed solution. The results of the problem were compared with published research to demonstrate its effectiveness and suggest solutions for the development of EVCS infrastructure.