Design and Development of Control System for Power Quality Enhancement of DC Microgrid

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a detailed control system design and performance metrics for HESS, useful for further optimization studies.

🏢実務担当者:Offers insights into hybrid storage configurations that can improve power quality and reduce operational costs for solar installations.

🏛政策担当者:Highlights the economic viability of hybrid storage, supporting policies that incentivize advanced storage technologies.

<title>Abstract</title> <p>The integration of renewable energy sources into modern power grids presents significant challenges related to intermittency, reli-ability, and power quality. This research paper presents a comprehensive investigation into the design, modelling, and performance optimization of hybrid energy storage systems (HESS) that combine solar photovoltaic (PV) technology with battery and flywheel storage solutions. The study addresses the critical need for enhanced energy management strategies in renewable energy systems by developing an advanced hybrid architec-ture that leverages the complementary characteristics of different storage technologies. The proposed Solar PV–Battery–Flywheel HESS integrates batteries for high energy density and long- duration storage with fly-wheels for high power density and rapid response capabilities. Through detailed mathematical modelling using MATLAB/Simulink, we simulate system behaviour under various operational scenarios including variable solar irradiation, fluctuating load demands, and grid disturbances. The research employs sophisticated control algorithms incorporating fuzzy logic and model predictive control (MPC) to optimize power flow man-agement between system components. Results demonstrate that the hybrid configuration achieves 23.7 improve-ment in overall system efficiency compared to single-storage solutions, reduces battery cycling stress by 41 and extends battery lifespan by approximately 38. The flywheel component successfully handles 87 of high-frequency power fluctuations, while the battery manages base-load energy storage. System response time to grid disturbances improved by 64, with voltage stability enhanced by 31 during peak demand periods. Economic analysis reveals a levelized cost of storage (LCOS) reduction of 18 over a 20-year operational period, with payback time estimated at 7.3 years under current market conditions. The findings indicate that properly optimized HESS configurations offer superior performance for grid- connected solar applications, particularly in scenarios requiring both long-duration energy shifting and rapid power quality correction. This research contributes valuable insights for renewable energy system designers, grid operators, and policymakers working toward sustainable energy transitions.</p>

• Research Square https://doi.org/10.21203/rs.3.rs-10532269/v1first seen 2026-08-08 04:33:07