Reactive power compensation in static VAR installation strategy framework for loss minimisation in power system

Abstract

Loss minimisation in power transmission systems remains a crucial objective for ensuring operational efficiency, economic sustainability, and power quality in modern electric grids. Transmission losses not only result in substantial energy waste and increased operational costs but also contribute to voltage instability, reduced system reliability, and environmental impact. As power systems become more complex with the integration of renewable energy sources, there is a growing need for advanced optimisation frameworks that can holistically address these challenges. This paper presents an Integrated Optimisation Strategy Framework (IOSF) for loss minimisation in power transmission systems. The proposed framework synergistically combines multiple advanced optimisation techniques, including evolutionary programming, the coronavirus algorithm, and a newly proposed integrated optimisation technique, to optimise the sizing and locations of static VAR compensation (SVC) in the loss minimisation scheme. The IOSF helps in making choices of optimisation techniques to achieve the lowest optimal solution. To validate the effectiveness of the proposed strategy framework, the IEEE 30-Bus Reliability Test System (RTS) is employed as a benchmark testbed. Multiple operating scenarios, including normal loading and overloading, are simulated to evaluate the performance of the IOSF under realistic conditions. The results demonstrate significant improvements in power loss reduction, voltage profile enhancement, and overall network stability across all scenarios when compared to standalone or traditional optimisation methods. Notably, the HCVEPO algorithm demonstrates consistent superiority in reducing system losses and enhancing voltage stability under high reactive loading conditions. It achieves over 50% reduction in power losses while maintaining voltage levels within the optimal operational range, showcasing its effectiveness in managing system stress and ensuring reliable performance. These advantages make the proposed IOSF highly applicable for both real-time control and long-term planning purposes. From a practical perspective, the adoption of this strategy offers substantial benefits to utility operators and the broader power system community, including enhanced reliability, reduced operational expenditure, and support for grid decarbonisation efforts. Thus, the proposed integrated optimisation strategy framework provides a comprehensive and scalable solution to the complex problem of loss minimisation in power transmission systems, paving the way for more resilient and efficient future grids.