DOI: 10.14457/tu.the.2023.569
title: Enhancing power grid efficiency and dependability through integrated renewable energy and energy storage solutions

description: The increasing significance of renewable energy sources, especially solar and wind power, is witnessing a notable surge. Advances in solar panel technology, cost reductions, and the seamless integration of solar energy and storage systems have greatly enhanced the efficiency and economic viability of solar power. Likewise, the evolution of wind energy, exemplified by the development of larger and more efficient wind turbines including offshore and floating installations, has been remarkable. As a result, renewable energy has become a pivotal component of modern power systems. The study initiates by addressing the inherent unpredictability of renewable energy generation. It employs advanced methodologies that combine long short-term memory (LSTM) and Markov chain (MC) techniques, bolstered by quantization (QTZ) and denoising (DN) methods. These advanced techniques effectively capture the operational patterns of renewable distributed generators (RDGs). The insights obtained from this modeling are subsequently harnessed in later phases of the study. Then, the research focuses on voltage instability resulting from uncontrolled loads, generators, and the reactive power dynamics of RDGs. It is divided into two parts. First, to assess the system's capacity for providing reactive support and enhancing voltage stability, a novel approach called the Reactive Power Compensation Support Margin for Voltage Stability Improvement (QSVS) is introduced. Parameters derived from the complex power formula are used to calculate voltage stability and identify the most vulnerable bus. In the second part, also termed QSVS, the goal is to maximize the reactive support capacity to determine the optimal RDG location. Subsequently, an approach for minimizing losses is applied to find the optimal RDG size. The proposed methodology effectively integrates reactive compensation and safety margins through QSVS, resulting in improved power loss reduction and enhanced voltage stability. This underscores the critical role of reactive power compensation in significantly reducing power dissipation and maintaining robust voltage stability. Further, the integration of renewable energy sources introduces challenges concerning voltage stability, energy dissipation, and uncertain utilization of reactive power. Voltage instability and energy dissipation within electricity distribution systems are influenced by the reactive power adjustment of distributed generators that rely on renewable sources. Therefore, this dissertation introduces inventive approaches that fulfill the Energy Storage Systems (ESS) requirements by optimally placing and sizing these generators, while also addressing the uncontrolled and reactive power utilization of these sources. This dissertation delves into innovative methodologies centered on precise RDG placement and optimal sizing, all while considering ESS prerequisites and effectively managing the uncontrolled and reactive power dynamics inherent in these sources within power distribution grids. These novel approaches make significant contributions to various aspects of power distribution networks, encompassing seamless renewable energy integration, sustained voltage stability, reduced power losses, and facilitated practical implementation. In summation, these contributions push the boundaries of the field and lay the foundation for a more sustainable and reliable power infrastructure.