Autonomous active power management in isolated microgrid based on proportional and droop control

Moon, Hyeon-Jin; Chang, Jae Won; Lee, Seok-Young; Moon, Seung-Il

doi:10.1016/j.egypro.2018.10.055

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…Simulation case studies are performed using detailed models of an isolated microgrid in South Korea implemented with real parameters. Case study results demonstrate the effectiveness of the proposed control scheme in [40] mainly from the aspects of the following key advantages:…”

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confidence: 86%

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Decentralised Active Power Control Strategy for Real-Time Power Balance in an Isolated Microgrid with an Energy Storage System and Diesel Generators

et al. 2019

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Remote microgrids with battery energy storage systems (BESSs), diesel generators, and renewable energy sources (RESs) have recently received significant attention because of their improved power quality and remarkable capability of continuous power supply to loads. In this paper, a new proportional control method is proposed using frequency-bus-signaling to achieve real-time power balance continuously under an abnormal condition of short-term power shortage in a remote microgrid. Specifically, in the proposed method, the frequency generated by the grid-forming BESS is used as a global signal and, based on the signal, a diesel generator is then controlled indirectly. The frequency is controlled to be proportional to the AC voltage deviation of the grid-forming BESS to detect sudden power shortages and share active power with other generators. Unlike a conventional constant-voltage constant-frequency (CVCF) control method, the proposed method can be widely applied to optimise the use of distributed energy resources (DERs), while maintaining microgrid voltages within an allowable range, particularly when active power balance cannot be achieved only using CVCF control. For case studies, a comprehensive model of an isolated microgrid is developed using real data. Simulation results are obtained using MATLAB/Simulink to verify the effectiveness of the proposed method in improving primary active power control in the microgrid.

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confidence: 86%

“…It needs to be noted that this paper is an extended version of our previous paper [40], including further improvements over [40] that can be summarized as follows:…”

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confidence: 99%

Decentralised Active Power Control Strategy for Real-Time Power Balance in an Isolated Microgrid with an Energy Storage System and Diesel Generators

et al. 2019

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“…Hybrid control strategies have low numeric complexity, but their convergence is hard to guarantee in most cases. Proposing suitable guidelines for choosing the best algorithm is currently an open question, and this question becomes more important when the microgrid is isolated [11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Virtual Inertia Control Methods in Islanded Microgrids

et al. 2021

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Although the deployment and integration of isolated microgrids is gaining widespread support, regulation of microgrid frequency under high penetration levels of renewable sources is still being researched. Among the numerous studies on frequency stability, one key approach is based on integrating an additional loop with virtual inertia control, designed to mimic the behavior of traditional synchronous machines. In this survey, recent works related to virtual inertia control methods in islanded microgrids are reviewed. Based on a contextual analysis of recent papers from the last decade, we attempt to better understand why certain control methods are suitable for different scenarios, the currently open theoretical and numerical challenges, and which control strategies will predominate in the following years. Some of the reviewed methods are the coefficient diagram method, H-infinity-based methods, reinforcement-learning-based methods, practical-swarm-based methods, fuzzy-logic-based methods, and model-predictive controllers.

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“…Much research is being done in this field, using LSTM (Long Short-Term Memory) neural networks [24,25], RBF (Radial Basis Function) neural networks [26], machine learning techniques [27] or hybrid methods [28][29][30]. In [31,32], instead of a diesel generator, a BESS was used to generate the nominal frequency and make the system frequency independent of the mechanical inertia of a synchronous generator. In this case, the diesel generation is employed to guarantee the needed state of charge of the BESS.…”

Section: Introductionmentioning

confidence: 99%

Stand-Alone Hybrid Power Plant Based on SiC Solar PV and Wind Inverters with Smart Spinning Reserve Management

et al. 2021

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Stand-alone hybrid power plants based on renewable energy sources are becoming a more and more interesting alternative. However, their management is a complex task because there are many variables, requirements and restrictions as well as a wide variety of possible scenarios. Though a proper sizing of the power plant is necessary to obtain a competitive cost of the energy, smart management is key to guarantee the power supply at a minimum cost. In this work, a novel hybrid power plant control strategy is designed, implemented and simulated under a wide variety of scenarios. Thereby, the proposed control algorithm aims to achieve maximum integration of renewable energy, reducing the usage of non-renewable generators as much as possible and guaranteeing the stability of the microgrid. Different scenarios and case studies have been analyzed by dynamic simulation to verify the proper operation of the power plant controller. The main novelties of this work are: (i) the stand-alone hybrid power plant management regarding a battery energy storage system as a part of the spinning reserve, (ii) the characterization of the largest loads as non-priority loads, (iii) the minimization of the needed spinning reserve and fuel consumption from diesel generators.

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Autonomous active power management in isolated microgrid based on proportional and droop control

Cited by 6 publications

References 9 publications

Decentralised Active Power Control Strategy for Real-Time Power Balance in an Isolated Microgrid with an Energy Storage System and Diesel Generators

Decentralised Active Power Control Strategy for Real-Time Power Balance in an Isolated Microgrid with an Energy Storage System and Diesel Generators

Virtual Inertia Control Methods in Islanded Microgrids

Stand-Alone Hybrid Power Plant Based on SiC Solar PV and Wind Inverters with Smart Spinning Reserve Management

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