A Control Strategy based on Fuzzy Logic for Three-phase Grid-connected Photovoltaic System with Supporting Grid-frequency Regulation

Thao, Nguyen Gia Minh; Uchida, Kenko

doi:10.12720/joace.4.2.96-103

Cited by 11 publications

(14 citation statements)

References 12 publications

(22 reference statements)

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“…In [13], a prior study by the present two authors showed a simple single-level control method suitable for a small PV power agent, but no coordinated control strategy was proposed for a large-scale PV farm. In addition, the tolerable range of grid frequency deviation at the steady state used in [13] was ±0.075 (Hz), which is 50% larger than the often-used range of ±0.05 (Hz). A coordinated strategy for PV farms was presented initially in [14].…”

Section: Introductionmentioning

confidence: 93%

A two-level control strategy with fuzzy logic for large-scale photovoltaic farms to support grid frequency regulation

Thao

Uchida

2017

Control Engineering Practice

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Physical value of active power, in Watts Value expressed in per-unit system of Ratio value expressed in percent Index of local agent in a PV farm Present step of sampling time in control Superscripts * Reference value Meas Measured actual value Pre Predicted value Min Minimum value Max Maximum value TrS Value computed in the transient state StS Value computed at the steady state Diff Difference value This study proposes a two-level coordinated control strategy with fuzzy logic for appropriately adjusting the total active power supplied to a grid by large-scale photovoltaic (PV) farms in order to regulate grid frequency. For a solar farm, the strategy includes a central coordinating controller and many local controllers at PV power assemblies, treated as agents. In detail, the central controller uses a frequency regulation module based on a new automatic-tuning fuzzy-logic controller scheme to compute the appropriate reference values according to the total power needed. Then, the individual reference value for each local controller is determined. Each local controller governs all power-electronic converters installed at the PV agent to inject power into the grid according to the individual reference value received. Additionally, each local controller uses an algorithm to manage the state-of-charge of the battery bank installed at the agent so that it remains in the safe range of 20-80% while operating and close to the desired idle value of 50% at the steady state. Besides, a special control mode is developed and integrated into the overall strategy to aid rapid recovery of the grid frequency under emergency conditions. Numerical simulations demonstrate that the suggested strategy has the good response in terms of injecting an appropriate amount of power into the grid to regulate the frequency deviation into acceptable ranges of ±0.2 (Hz) in the transient state and ±0.05 (Hz) at the steady state, even when the weather conditions (solar radiation, air temperature), AC system load, and important control parameters of the grid suddenly change. Furthermore, the effectiveness in improving the grid-frequency stabilization by using the proposed strategy is validated within a four-area power system, where four PV farms are connected and the operating parameters of the grids at the areas are fairly different.

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Section: Introductionmentioning

confidence: 93%

A two-level control strategy with fuzzy logic for large-scale photovoltaic farms to support grid frequency regulation

Thao

Uchida

2017

Control Engineering Practice

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“…In every nation, DERs, ESS, and the main grid should work inside adequate emission limits subject to the emission standards reference guide to improve the open picture. The emission, such as CO 2 (carbon dioxide), SO 2 (sulfur dioxide) and NO x (nitrogen oxides)are considered in this work . For every gas in kg at hour t , every unit ought not to surpass the most extreme noteworthy emission rate.…”

Section: Distributed Energy Management For Hybrid Mg Systemmentioning

confidence: 99%

“…The emission, such as CO 2 (carbon dioxide), SO 2 (sulfur dioxide) and NO x (nitrogen oxides)are considered in this work. 33 For every gas in kg at hour t, every unit ought not to surpass the most extreme noteworthy emission rate. From electrical power generation at MG and the utility grid, the air emissions are directed by these structured constraints, which can be formulated in the accompanying equations:…”

Section: Emission Constraintmentioning

confidence: 99%

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

et al. 2019

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This paper proposes an efficient hybrid approach-based energy management strategy (EMS) for grid-connected microgrid (MG) system. The primary objective of the proposed technique is to reduce the operational electricity cost and enhanced power flow between the source side and load side subject to power flow constraints. The proposed control scheme is a consolidated execution of both the random forest (RF) and quasioppositional-chaotic symbiotic organisms search algorithm (QOCSOS), and it is named as QOCSOS-RF. Here, the QOCSOS can have the capacity to enhance the underlying irregular arrangements and joining to a superior point in the pursuit space. Likewise, the QOCSOS has prevalence in nonlinear frameworks due over the way that can insert and extrapolate the arbitrary information with high exactness. Here, the required load demand of the grid-connected MG system is continuously tracked by the RF technique.The QOCSOS optimized the perfect combination of the MG with the consideration of the predicted load demand. Furthermore, in order to reduce the influence of renewable energy forecasting errors, a two-strategy for energy management of the MG is employed. At that point, proposed model is executed in MATLAB/Simulink working platform, and the execution is assessed with the existing techniques. KEYWORDS energy management strategy, grid-connected MG, power flow constraints, random forest, quasioppositional-chaotic symbiotic organisms search algorithm How to cite this article: Chen J, Zhou Z, Karunakaran V, Zhao S. An efficient technique-based distributed energy management for hybrid MG system: A hybrid QOCSOS-RF technique. Wind Energy. 2020;23:575-592. https://doi.

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“…In the case of grid-connected PV system, different inverter topologies and controllers are usually used for interfacing the PV array and the utility grid [12][13][14]. Two inverter configurations and three inverter topologies can be identified in such applications, namely: central inverter, string inverter and integrated inverter for configuration; and topologies with or without transformer [12].…”

Section: Inverter Modeling and Control System 231 Inverter Modelingmentioning

confidence: 99%

A Novel FLC for Pv Arrays Connected to the Utility Grid

Amer

Afifi

Morsy

2016

ERJ. Engineering Research Journal

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This paper provides a suitable fuzzy logic control (FLC) system for three-phase grid-connected photovoltaic (PV) system which aims to work at unity power factor and constant output voltage suitable with the grid for any PV side or grid side disturbances. Also by the control system, the (PV-common DC link) interface transfers the energy drawn from the PV array by keeping dc voltage constant. Also, FLC results are compared with conventional (PI) control at the same disturbances. The model contains a detailed representation of the main components of the system that are the PV arrays, the booster converter and the grid side inverter. A novel method for Maximum Power Point Tracking (MPPT) technique through fuzzy logic system is implemented and compared with INC MPPT technique. MPPT techniques are obtained under different temperature values and irradiation levels. Modeling and control is carried out using MATLAB-SIMULINK. The simulation results showed the control performance and dynamic behavior of the system at various disturbances such as three-phase short circuit at connection point, one line outage and irradiation variations.

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A Control Strategy based on Fuzzy Logic for Three-phase Grid-connected Photovoltaic System with Supporting Grid-frequency Regulation

Cited by 11 publications

References 12 publications

A two-level control strategy with fuzzy logic for large-scale photovoltaic farms to support grid frequency regulation

A two-level control strategy with fuzzy logic for large-scale photovoltaic farms to support grid frequency regulation

An efficient technique‐based distributed energy management for hybrid MG system: A hybrid QOCSOS‐RF technique

A Novel FLC for Pv Arrays Connected to the Utility Grid

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