DISTRIBUTED GENERATION PLANNING IN DISTRIBUTION SYSTEM

Abstract

Meeting the increasing global demand for electrical energy necessitates inventive approaches that transcend the constraints of conventional centralized power generation methods. One such groundbreaking paradigm with transformative potential in power distribution is Distributed Generation (DG). This project is dedicated to scrutinizing and enhancing the seamless integration of DG into distribution networks, with the ultimate goals of augmenting system efficiency, reliability, and sustainability. The primary objective of this project is to establish a robust framework for the effective planning and implementation of DG. This entails employing a multifaceted approach that considers technical, economic, and environmental aspects. The proposed methodology aims to identify optimal sites, capacities, and technologies for DG units within the distribution network through the application of state-of-the-art optimization algorithms. The study commences by providing a comprehensive introduction to the foundational aspects of power systems, ensuring readers have a solid grasp of the principles governing generation, transmission, and distribution networks. It underscores the evolving role of DG in this framework, emphasizing its potential to alleviate the burden on centralized generation facilities and enhance local energy resilience. Central to DG planning is the judicious selection of technologies and energy sources. This research work conducts a comprehensive evaluation of a diverse array of DG technologies, including, but not limited to, solar photovoltaics, wind turbines, microturbines, and fuel cells. The selection process places significant emphasis on factors such as resource accessibility, environmental impact, and economic feasibility. An in-depth exploration of the contemporary DG landscape involves a comprehensive investigation into the integration of renewable energy sources. Given the intermittent nature of renewables, the integration of modern energy storage technologies is imperative to ensure a consistent and reliable electricity supply. Integral to this endeavor are Battery Energy Storage Systems (BESS), which play a vital role in efficiently storing and deploying surplus energy. Additionally, research is underway into demand response strategies, offering dynamic load balancing and grid stabilization. To facilitate the seamless integration of DG, a meticulous analysis of the existing distribution network is undertaken. This encompasses a thorough assessment of power flow characteristics, voltage profiles, and load profiles. Employing advanced modeling and simulation techniques, the dynamic behavior of the system is accurately captured under a spectrum of conditions. The multi-objective framework guiding the optimization process encompasses a diverse range of performance metrics. These include considerations such as system losses, voltage stability, environmental impact, and economic feasibility. The Pareto frontiers generated by the vii optimization process empower stakeholders to make decisions aligned with their specific priorities. Through extensive simulations on established reference distribution systems, the proposed approach undergoes rigorous validation. The results underscore tangible benefits, including enhanced system efficiency, reduced losses, and improved voltage stability resulting from DG integration. Furthermore, a comparative analysis with conventional centralized generation vividly illustrates the superior performance of the proposed DG-centric approach. In a nutshell, this study aims to elevate the domain of distributed generation planning within distribution systems. The proposed framework represents a significant stride towards a greener and more resilient power distribution paradigm, harnessing state-of-the-art optimization techniques, seamlessly integrated renewable energy sources, and comprehensive system analysis. The discoveries of this research carry the potential to steer forthcoming progress in this field, ultimately culminating in an electrical grid characterized by heightened reliability, efficiency, and environmental consciousness.