Hossain, M.A.; Hossain, M.A.; Pota, H.R.; Hattori, H.T. A Systematic Approach to Designing Power Sharing Control of Converter-Based Generators. Energy Reports 2024, 11, 1787–1802, doi:10.1016/j.egyr.2024.01.018.
Hossain, M.A.; Hossain, M.A.; Pota, H.R.; Hattori, H.T. A Systematic Approach to Designing Power Sharing Control of Converter-Based Generators. Energy Reports 2024, 11, 1787–1802, doi:10.1016/j.egyr.2024.01.018.
Hossain, M.A.; Hossain, M.A.; Pota, H.R.; Hattori, H.T. A Systematic Approach to Designing Power Sharing Control of Converter-Based Generators. Energy Reports 2024, 11, 1787–1802, doi:10.1016/j.egyr.2024.01.018.
Hossain, M.A.; Hossain, M.A.; Pota, H.R.; Hattori, H.T. A Systematic Approach to Designing Power Sharing Control of Converter-Based Generators. Energy Reports 2024, 11, 1787–1802, doi:10.1016/j.egyr.2024.01.018.
Abstract
This paper introduces a structured design for an effective power-sharing technique among converter-interfaced distributed generation (DG) units within a microgrid that operates without a synchronous generator. The proposed power-sharing technique leverages the battery energy storage system (BESS) to promptly respond to network changes. The real power output of each commercial distributed energy resources (CDER) unit is governed by a frequency-droop characteristic and a complementary frequency restoration strategy. Deloading techniques are employed by solar and wind power generators to enhance response during power supply or demand disturbances. To ensure microgrid stability, small-signal analysis is conducted for controller design, including the determination of stability margins. Initial tuning of the power-sharing technique parameters is achieved using the Ziegler-Nichols Method, followed by further optimization through a meta-heuristical algorithm to enhance the response time of energy sources. The proposed power-sharing technique's performance is evaluated on a benchmark medium voltage network using industry-standard commercial software. The test results demonstrate the precise and rapid power-sharing capabilities among DGs facilitated by the proposed technique, highlighting its effectiveness in dynamic microgrid environments.
Keywords
distributed generation (DG); battery energy storage system (BESS); doubly-fed induction generator (DFIG); photovoltaic (PV) system; DIgSILENT PowerFactory software; de-loading technique
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
