Applications of Harris Hawks Optimization with Capacitor Shunt and Renewable Energy Source to Achieve Technical Benefits on Power Transmission Networks

This paper presents a new metaheuristics optimization algorithm inspired by one of the most intelligent birds, Harries Hawks, called Harris Hawks Optimization (HHO) for solving optimal power flow (OPF) problems to achieve technical benefits. 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 source (RES) and capacitor shunt (CS) are most popular and important. The voltage stability index represents the indicator used to determine the optimal placement. The main goal to use this algorithm HHO is select optimal sizing of RES and CS. This paper has presented four scenarios: the initial case (only power flow calculation), optimal power flow using HHO, optimal power flow using HHO after installing CS, and optimal power flow using HHO after installing RES. In these scenarios, the three most popular objective functions (OFs) were proposed, which are the real power losses, voltage deviation, and voltage stability index of whole system. Integrating a local search scheme improves the search space’s capability and enhances the exploration rate, facilitating the discovery of a global solution. IEEE 30 -bus is the standard network that was applied. The numerical and simulation results demonstrate the performance of HHO in searching for global solutions and preventing local solutions. The optimal results of OFs obtained by HHO will be compared the optimal results obtained by other optimization techniques to confirm the superiority and efficiency of HHO.