Dynamic economic dispatch problem in hybrid renewable based power systems using oppositional based chaotic honey badger algorithm

In this work, the chaotic honey badger algorithm (OCHBA) based on oppositional theory is used for the investigation of the wind-solar-electric vehicle (EV)-thermal based dynamic economic dispatch (DED) problem. The co-generation of solar, wind and battery storage units is optimised by the suggested approach. A constrained nonlin-ear optimization problem with discrete and continuous variables that is non-convex on a large scale is used to simulate the DED. A more reliable and efficient DED algorithm is required for direct power system operators’ decision-making. In order to minimise generation costs and simultaneously meet different load needs, DED calculates the amount of electrical power that committed units in a power system will generate. The development, testing and comparison utilising the 10-unit and 15-unit benchmark systems show the viability and efficacy of the suggested approach. Moreover, the results demonstrate the potential of the suggested method as well as its reliability and efficacy in resolving the DED issue for the systems under consideration. The results of the proposed approach methodology is compared with several methods that have been published most recently and the suggested OCHBA approach is used in multiple test systems with complex solution spaces in order to demonstrate its effectiveness and benefits. The suggested approach’s functionality and performance are contrasted with the traditional techniques. The algorithm’s dependability and ease of implementation, even on highly complicated and non-convex situations, are demonstrated by its excellent results.