A Novel Fuzzy-Logic-Based Control Strategy for Power Smoothing in High-Wind Penetrated Power Systems and Its Validation in a Microgrid Lab

Ochoa, Danny; Martínez, Sergio; Arévalo, Paúl

doi:10.3390/electronics12071721

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…Reference [17] proposed a fuzzy logic controller for solar power smoothing based on controlled battery energy storage and varying low pass filter. A fuzzy-logic-based control strategy for power smoothing in high-wind penetrated power systems, and its validation in a microgrid lab is descried in [18]. In this paper, a fuzzy logic controller is proposed considering power measurements from an actual wind farm for active power smoothing using a Li-ion Battery Energy Storage System (BESS).…”

Section: Active Power Smoothing Strategies For Wind Power Generationmentioning

confidence: 99%

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Tabosa da Silva,

Rosas,

Castro

et al. 2023

Energies

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This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.

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Section: Active Power Smoothing Strategies For Wind Power Generationmentioning

confidence: 99%

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Tabosa da Silva,

Rosas,

Castro

et al. 2023

Energies

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“…The core idea of the algorithm is to determine the average of a group. Equation ( 8) represents the MA filter presented in this paper [27].…”

Section: Design Of Power Smoothing Algorithm Based On Mamentioning

confidence: 99%

Enhancing Energy Power Quality in Low-Voltage Networks Integrating Renewable Energy Generation: A Case Study in a Microgrid Laboratory

et al. 2023

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Nowadays, energy decarbonization due to integrating renewable energy sources presents important challenges to overcome. The intermittent nature of photovoltaic systems reduces power quality by producing voltage variations and frequency deviations in electrical system networks, especially in weak and isolated distribution systems in developing countries. This paper presents a power smoothing method for improving the low-pass filter and moving average for grid-connected photovoltaic systems. This novel method includes state-of-charge monitoring control of the supercapacitor’s energy storage system to reduce the fluctuations of photovoltaic power at the point of common coupling. A case study for a microgrid in a high-altitude city in Ecuador is presented with exhaustive laboratory tests using real data. This research aims to improve energy power quality in electrical distribution systems to cope with the growth of renewable penetration. The results demonstrate significant power quality and stability improvements achieved through the proposed method. For instance, the power smoothing method effectively reduced power fluctuations by 16.7% with the low-pass filter, 14.05% with the ramp-rate filter, and 9.7% with the moving average filter.

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“…These characteristics make FL a suitable tool for nonlinear systems because of its flexibility and decision-making capacities [14]. FL controllers have been used in multiple fields, proving their operation capabilities [15][16][17]. For example, the authors of [18] used a two-factor second-order fuzzy trend to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX).…”

Section: Introductionmentioning

confidence: 99%

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Artetxe,

Barambones,

Martín Toral

et al. 2024

Electronics

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Natural resources must be administered efficiently to reduce the human footprint and ensure the sustainability of the planet. Water is one of the most essential resources in agriculture. Modern information technologies are being introduced in agriculture to improve the performance of agricultural processes while optimizing water usage. In this scenario, artificial intelligence techniques may become a very powerful tool to improve efficiency. The introduction of the edge/fog/cloud paradigms, already adopted in other domains, may help to organize the services involved in complex agricultural applications. This article proposes the combination of several modern technologies to improve the management of hydrological resources and reduce water waste. The selected technologies are (1) fuzzy logic, used for control tasks since it adapts very well to the nonlinear nature of the agricultural processes, and (2) long range (LoRa) technology, suitable for establishing large distance links among the field devices (sensors and actuators) and the process controllers, executed in a centralized way. The presented approach has been validated in the laboratory by means of a control scheme aimed at achieving an adequate moisture level in the soil. The control algorithm, based on fuzzy logic, can use the weather forecast, obtained as a cloud service, to reduce water consumption. For testing purposes, the dynamics of the water balance model of the soil were implemented as hardware in the loop, executed in a dSPACE DS1104. Experiments proved the viability of the presented approach since the continuous space state output controller achieved a water loss reduction of 23.1% over a 4-day experiment length compared to a traditional on/off controller. The introduction of cloud services for weather forecasting improved the water reduction by achieving an additional reduction of 4.07% in water usage.

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A Novel Fuzzy-Logic-Based Control Strategy for Power Smoothing in High-Wind Penetrated Power Systems and Its Validation in a Microgrid Lab

Cited by 7 publications

References 33 publications

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

Enhancing Energy Power Quality in Low-Voltage Networks Integrating Renewable Energy Generation: A Case Study in a Microgrid Laboratory

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

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