OPTIMAL POWER FLOW FOR IEEE BUS SYSTEMS USING HYBRID WHALE GENETIC OPTIMIZATION METHOD

Abstract

The current power distribution system has to be upgraded due to rising load demands and tight budgets. Power losses, voltage variations, a lack of dependability, and voltage instability are some of the difficulties it encounters. In the aftermath of the energy and environmental crises, there is also a sense of obligation to utilise dispersed renewable resources for power generation. These issues can be overcome by strategically placing distributed generators (DGs) in the radial power distribution system at various acceptable places. Powerful metaheuristic optimisation algorithms can address the non-linear issue of optimal allocation. For the best placement and scaling of DG on distribution systems, this paper recommends a unique hybrid whale genetic optimisation method to increase voltage magnitude, stability, and economic profits while reducing power loss. The motivation for the paper  stems from the need to enhance the efficiency and reliability of power system operations. Optimal power flow (OPF) problems are inherently complex due to their nonlinear, non-convex nature and the presence of multiple local minima, which pose significant challenges for traditional optimization methods. Metaheuristic algorithms like the Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA) offer promising solutions due to their robust exploration and exploitation capabilities. By combining these two algorithms, the proposed hybrid method aims to leverage their complementary strengths to achieve faster convergence and more accurate solutions. Applying this hybrid approach to standard IEEE bus systems, which serve as benchmarks in power system studies, aims to demonstrate its effectiveness in reducing generation costs, minimizing power losses, and improving voltage profiles. This contributes to the broader goal of advancing optimization techniques for more efficient, reliable, and economically viable power system operations. On bus systems based on IEEE 15, 33, 69, and 85, the suggested method was evaluated. The results demonstrate that placing the DG in a distributed system reduces power losses while increasing voltage magnitude, stability, and cost.