A multi-objective robust frequency control method for stand-alone microgrid systems

Abstract

The invention discloses a multi-target robust fractional frequency control method for an independent micro-grid. Small signal frequency response models of various components of an independent micro-grid system are built through a small signal modeling method; a robust loop shaping fractional frequency control model of the independent micro-grid system is built on the basis of the small signal frequency response models; the minimum accumulated sum of products of frequency deviations of the independent micro-grid system and time, the minimum accumulated sum of the products of power deviations of the system and the time, the minimum infinite norm of a robust loop shaping system matrix function and the minimum output signal value of a robust controller are taken as optimized objective functions for estimating the performance of the robust frequency controller; and an adaptive multi-objective constraint optimization solver is designed for efficiently achieving optimal setting of robust loop shaping frequency control parameters by employing the conditions that a robust stability performance index and an interference suppression performance index are smaller than 1 as constraint conditions. By the multi-target robust frequency control method for the independent micro-grid, robust frequency control on multi-performance index compromise optimization of the independent micro-grid system can be achieved.

Description

Technical field [0001] The invention relates to an intelligent control technology in the technical field of energy deployment and management of a new energy microgrid, in particular to a multi-target robust frequency control method for an independent microgrid system. Background technique [0002] Independent microgrid provides a feasible solution for power supply problems in special areas such as remote mountainous areas and coastal islands. Therefore, in recent years, it has received extensive research, promotion and application in the field of new energy and power systems at home and abroad. However, photovoltaic power generation and wind power generation show strong randomness and intermittency due to changes in regional weather, combined with the diversity and complexity of demand loads, which will easily lead to an imbalance in the supply and demand of active power in independent microgrid systems, thereby making the system The frequency fluctuates. Therefore, how to achie...

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Problems solved by technology

At present, the mainstream technologies of independent microgrid frequency control mainly include: (1) Traditional integer-order PID or PI control technology based on genetic algorithm or fuzzy particle swarm algorithm, but there are large oscillation amplitude, slow response speed, and insufficient anti-interference ability , the optimization algorithm itself has defects such as complex parameter setting and low calculation efficiency; (2) fractional-order PID control technology based on optimization algorithms such as genetic algorithm and Kriging agent model, but genetic algorithm includes complex evolutionary calculation operations such as selection, crossover and mutation, The algorithm itself has many adjustable parameters, and the calculation efficiency is low, while the Kriging proxy model is highly dependent on the number of initial samples, and there are also defects such as complex parameter setting of the algorithm itself and low calculation efficiency; (3) based on the standard H infinite sum The control method based on the principle of μ analysis, but the evaluation performance index of the robust controller is too single, which makes it difficult to comprehensively optimize the frequency control performance of the independent microgrid system

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