Economic Dispatch Using Harris Hawks Optimization with Renewable Energy Source and Capacitor Shunt

In this article, Harris Hawks Optimization (HHO) is the optimization technique that was proposed to solve economic dispatch (ED) problems. This optimization technique was inspired by one of the most intelligent birds, Harries Hawks. Managing active and reactive power in transmission networks significantly influences their performance. To improve the performance of transmission networks, the mechanisms for determining the location of renewable energy sources (RES) and capacitor shunts (CS) are the most popular and important. Voltage stability index represents the indicator used to select the optimal placement. The optimal sizing of RES and CS has been performed using the HHO algorithm. This paper has presented four scenarios: the initial case (only power flow), optimal power flow using HHO, optimal power flow using HHO after installing CS source, and optimal power flow after installing RES. In these scenarios, two of the most popular objective functions (OFs) was proposed, which are the total fuel cost of generators and emissions issued by fossil fuels to achieve economic and environmental benefits. Integrating a local search scheme improves the search space’s capability and enhances the exploration rate, facilitating the discovery of a global solution. To prove the efficiency of HHO performances, the IEEE 30-bus is the standard network that has been applied. The numerical results and simulation confirmed the performance of HHO in searching for global solutions and preventing local solutions. The comparison among the results obtained by HHO and meta-heuristic optimization techniques confirmed the superiority and efficiency of HHO algorithm.