Research on Control Parameters for Voltage Source Inverter Output Controllers of Micro-Grids Based on the Fruit Fly Optimization Algorithm
Source abstract
Abstract
Due to the strong intermittency of micro-resources, the poor grid-tied power quality, and the high generation-demand sensitivity in micro-grids, research into the control methods of micro-grid systems has always been a notable issue in the field of micro-grids. The inverter is the core control equipment at the primary control level of the micro-grid, and the key factors affecting its output performance can be divided into three categories: control methods, hardware configuration, and control parameter design. Taking the classical active and reactive power (P-Q) control structure and the three-phase, two-stage inverter topology model as an example, this paper designs a parameter for offline tuning, and an online self-tuning optimization method for an inverter control system based on the fruit fly optimization algorithm (FOA). By simulating and comparing the inverter controllers with non-optimized parameters in the same object and environment, the designed parameter tuning method is verified. Specifically, it improves the dynamic response speed of the inverter controller, reduces the steady-state error and oscillation, and enhances the dynamic response performance of the controller.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Microgrid Control and Optimization · Islanding Detection in Power Systems · Power Systems and Renewable Energy
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Funding
National Natural Science Foundation of China · Overseas Expertise Introduction Program for Disciplines Innovation in Universities
References (34)
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