Solving economic emission dispatch of combined heat and power units problem using enhanced Tasmanian devil optimization strategy in power systems

Economic load dispatch (ELD) is a general procedure to distribute essential loads among the available generation units to minimize operational costs. Different problems presented in the ELD are generated because of inequality and equality constraints of the system. The double objective-based combined economic emission dispatch (CEED) issues presented in the power system are considered for the environmental impacts and accumulated by the gaseous pollutants emission in the fossil-fueled power plants. Moreover, the purpose and importance of the multi-objective combined heat and power economic emission dispatch has to be considered since the co-generation system with two major objectives like fuel cost and emission mass, must be reduced. Thus, the non-convex and non-linear objective functions require the best optimization technique to resolve the issues. Hence, this paper presented an efficient CEED framework by developing novel optimization strategy. The enhanced Tasmanian devil optimization (ETDO) algorithm is developed in this work by enhancing the Tasmanian devil optimization (TDO) algorithm through the parameter regularization, and enhanced fitness function. Various complex benchmark datasets are considered in this work for the experimental verification. In addition, various standard power system problems of CEED are rectified with the help of the proposed ETDO to attain better efficacy than the previous systems. The objective function of the proposed ETDO-based heat and power unit optimization in the CEED problem is to reduce the overall fuel cost and emission. The performance analysis of the developed ETDO algorithm is varied based on iterations. Overall, the cost function analysis is performed using the developed model that shows as 16.3%, 8.8%, 12.7%, and 6.8% improved than HGSO, ESO, EVO, and TDO at the 50th iteration. This experimental analysis shows that the proposed ETDO for solving CEED issues performs well in complex environments and large-scale emission applications. Further experiments on the proposed ETDO are held by varying the total heat and power units to measure the reliability and robustness of the system.