Frequency Control of Photovoltaic–Diesel Hybrid System Connecting to Isolated Power Utility by Using Load Estimator and Energy Storage System

Datta, Manoj; Senjyu, Tomonobu; Yona, Atsushi; Funabashi, Toshihisa

doi:10.1002/tee.20592

Cited by 5 publications

(5 citation statements)

References 43 publications

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“…An LFC with fuzzy PI controllers based on self-adaptive teaching-learning based optimisation is proposed to improve the dynamic behaviour of the system [21]. In [22], a frequency control based on a fuzzy system is proposed for a hybrid system with PV and DG, where the power fluctuations from PV output were also considered. To minimise the transient fluctuations, a self-tuned dynamic exponent and a fuzzy tuned dynamic PI control technique are designed in [23], to control the amount of charge and discharge of power in the different ESSs, i.e.…”

Section: Introductionmentioning

confidence: 99%

Grasshopper optimisation based robust power/frequency regulator for shipboard micro‐grid

Prakash

Sharma²,

Dhundhara

2020

IET Renewable Power Generation

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Due to the rapid increase in electrical energy requirements in marine power systems (MPSs), and to reduce the consumption of fossil fuel, there is an emergent need to utilise renewable energy sources (RESs) in MPSs, which has been an attractive field of research. This research aims to present a novel load frequency control (LFC) scheme for a shipboard microgrid (SMG) system. Therefore, a MPS with photovoltaic, wind turbine, hybrid energy storage system (ESS), and diesel generator (DG) have been simulated to relate an exact mobile islanded SMG. The system is designed using the transfer function models with the above said generating units and storage systems. Grasshopper optimisation algorithm (GOA) tuned fuzzy-based proportional-integral-derivative with filter control technique has been proposed to investigate the performance of the LFC scheme for the proposed SMG system. GOA and particle swarm optimisation optimised controllers have been designed and performance evaluation has been carried out on the conventional, adaptive neuro-fuzzy inference system, and fuzzy cascaded with a conventional controller. The responses obtained from the simulations for different cases are analysed to justify the novelty and superiority of the proposed technique for frequency and power regulation.

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Section: Introductionmentioning

confidence: 99%

Grasshopper optimisation based robust power/frequency regulator for shipboard micro‐grid

Prakash

Sharma²,

Dhundhara

2020

IET Renewable Power Generation

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“…With the increasing of distributed generator (DG) technologies, large numbers of DGs are connected with the grid in different forms, such as wind and solar power systems [1][2][3]. Because of the fluctuations of their output power, energy storage devices are utilized to adjust steady outputs [4,5].…”

Section: Introductionmentioning

confidence: 99%

Control Mechanisms of Energy Storage Devices

Elsisi¹

2019

Energy Storage Devices

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The fast acting due to the salient features of energy storage systems leads to using of it in the control applications in power system. The energy storage systems such as superconducting magnetic energy storage (SMES), capacitive energy storage (CES), and the battery of plug-in hybrid electric vehicle (PHEV) can storage the energy and contribute the active power and reactive power with the power system to extinguish the rapid change in load demands and the renewable energy sources (RES). This chapter gives an overview about the modeling of energy storage devices and methods of control in them to adjust steady outputs.Keywords: energy storage devices, superconducting magnetic energy storage (SMES), capacitive energy storage (CES), plug-in hybrid electric vehicle (PHEV)

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“…With the popularization of distributed generator (DG) technologies, large numbers of DGs are connected with the grid in a variety of forms, among which the representatives are wind [1] and solar [2,3] power systems. Because of the randomness of their power output, energy storage devices are used to obtain steady outputs [4,5].…”

Section: Introductionmentioning

confidence: 99%

A classification control strategy for energy storage system in microgrid

Zeng

Ding³

et al. 2015

IEEJ Transactions Elec Engng

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Storage devices are indispensable elements in a microgrid to compensate for the power imbalance between loads and the distributed generator (DG) output. Different storage strategies give diverse performances in adjustment speed and capacity. Based on the performance of different storage devices and the features of power imbalance curve in different periods, a classification control strategy is proposed in this paper. First, storage devices are given priorities according to the adjusting speed, and the power imbalance curve is divided into two periods according to the changing speed. During an emergency, all the storages are employed to compensate the rapidly increasing power imbalance; during the steady period, storage device with higher priority is employed to track the instantaneous component of power imbalance, while storage device with lower priority is used to replace the kWh output of higher priority storage. The proposed strategy is tested in a microgrid within the subdistribution network of IEEE RBTS Bus6 system using Monte Carlo methods. Simulation results indicate that the classification control strategy could endow the system with fast adjusting ability through coordination between storages. Reliability indices of the testing system are utilized to demonstrate that the classification control strategy could improve the stability of the microgrid and reliability of the distribution network. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Frequency Control of Photovoltaic–Diesel Hybrid System Connecting to Isolated Power Utility by Using Load Estimator and Energy Storage System

Cited by 5 publications

References 43 publications

Grasshopper optimisation based robust power/frequency regulator for shipboard micro‐grid

Grasshopper optimisation based robust power/frequency regulator for shipboard micro‐grid

Control Mechanisms of Energy Storage Devices

A classification control strategy for energy storage system in microgrid

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