Abstract
The frequency regulation has become one of the major subjects in microgrid power system due to the complexity structure of microgrid. In order to solve this problem, this paper proposes an improved linear active disturbance rejection control algorithm (ILADRC) that can significantly improve system performances through changing feedback control law to reduce the disturbance estimation error of extended state observer. Then, the proposed algorithm is employed in microgrid power system frequency regulation problem, which demonstrates its effectiveness. The parameters of controllers are optimized by particle swarm optimization (PSO) algorithm improved by genetic algorithm (GA). Simulations with different disturbances including sudden and stochastic change of load demand and wind turbine generation are carried out in comparison with previous studies. And robustness testing based on Monte-Carlo approach also shows better performance. So frequency stability of microgrid power system can be well guaranteed by proposed control algorithm.
Highlights
Due to the urgent need to reduce pollutant emissions and energy shortages, it is critically required to substitute fossil fuel energy by large amount of renewable energy sources (RESs), which simultaneously yields the increasing uncertainty and complexity of the entire power system
Where PWTG is the power generated by wind turbine generator (WTG), PDG is the power generated by diesel generator (DG), PFC is the power generated by fuel cell (FC), PAE is the power absorbed by aqua electrolyzer (AE) and PL is the load demand
Diesel generator is an important component of the islanded microgrid power system, which can operate as the main power output of the entire microgrid once the WTG power suddenly turns to zero or the FC power is limited by the fuel quantity in storage tank
Summary
Due to the urgent need to reduce pollutant emissions and energy shortages, it is critically required to substitute fossil fuel energy by large amount of renewable energy sources (RESs), which simultaneously yields the increasing uncertainty and complexity of the entire power system. Different from the traditional power grid, in renewable energy generators, the extensive use of electronic power convertors significantly reduces the rotating inertia of microgrid, and results in greater frequency fluctuation if there exists load-generator imbalance [1], which often causes undesirable influence on the stability of the entire system. It is of significantly practical and theoretical importance to adopt appropriate control strategies to ensure the stability of frequency regulation [2].
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