Frequency control scheme of an AC Islanded microgrid based on modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients

Seresht, Rezvan Mansoori; Miri, Mohsen; Zand, Mohammad; Nasab, Morteza Azimi; Sanjeevikumar, P.; Khan, Baseem

doi:10.1080/23311916.2022.2157982

Cited by 11 publications

(3 citation statements)

References 38 publications

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“…In [40], a new energy storage system based on pumped hydro energy storage (PHES) is proposed for an integrated microgrid, and the accuracy and reliability of the LFC in the investigated system are calculated. Te authors of [41,42] discuss virtual inertia simulation based on energy storage system derivatives and its efect on power system frequency control. An efcient optimization strategy called the confict-based Volleyball Premier League (OVPL) algorithm optimizes the required energy storage system (ESS) and controller parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

Providing a Control System for Charging Electric Vehicles Using ANFIS

Mahdavi,

Samavat,

Javanmardi

et al. 2024

International Transactions on Electrical Energy Systems

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Frequency control, especially when incorporating distributed generation units such as wind and solar power plants, is crucial for maintaining grid stability. To address this issue, a study proposes a method for controlling the connection status of electric vehicles (EVs) to prevent frequency fluctuations. The method utilizes an adaptive neural-fuzzy inference system (ANFIS) and a whale optimization algorithm to regulate the charging or discharging of EV batteries based on frequency fluctuations. The objective is to minimize and adjust the frequency fluctuations to zero. The proposed method is evaluated using a real microgrid composed of a wind power plant, a solar power plant, a diesel generator, a large household load, an industrial load, and 711 electric vehicles. The ANFIS system serves as the primary controller, taking inputs such as electric vehicle and battery status and generating outputs that determine the charging or discharging of the electric vehicles. Several investigations are conducted to assess the effectiveness of this model, and the results obtained are compared with the normal state where electric vehicles only consume power. By implementing this method, it is expected that the connection status of electric vehicles can be optimized to help stabilize the grid and minimize frequency fluctuations caused by the integration of distributed renewable energy sources. This study highlights the importance of automatic frequency control in smart grids and offers a potential solution using ANFIS and the whale optimization algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Providing a Control System for Charging Electric Vehicles Using ANFIS

Mahdavi,

Samavat,

Javanmardi

et al. 2024

International Transactions on Electrical Energy Systems

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“…When the main grid is operating normally, the load inside the microgrid is mainly provided by the micro-source in the microgrid, and insufficient or excess power is provided or absorbed by the main grid. When the main power grid fails or needs maintenance, the microgrid is disconnected from the power grid to form an isolated microgrid [2][3]. In order to ensure the balance between power generation and power consumption in the isolated microgrid, it is necessary to study the frequency regulation control in the isolated operation of the microgrid.…”

Section: Introductionmentioning

confidence: 99%

Frequency regulation scheme for islanded microgrid

Shao,

Li,

et al. 2024

J. Phys.: Conf. Ser.

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When the main grid of the power grid malfunctions undergoes emergency repairs, the microgrid is in off-grid operation. At this time, the microgrid in an isolated state must have self-frequency regulation capability. This article proposes a frequency control strategy for isolated microgrids, which can improve their ability to resist frequency interference. The proposed control strategy considers the different characteristics and capabilities of various micro-sources for frequency regulation. It classifies the frequency modulation micro-sources in the microgrid. Judgment conditions and parameters are set to determine whether each micro-source participates in frequency modulation and the participating components. The isolated microgrid has an economical and fast frequency modulation strategy. Finally, a microgrid simulation model is established using Matlab/Simulink simulation software to verify the effectiveness of the proposed frequency modulation strategy.

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“…In [43], an energy storage system in the charging station is considered and its effect on the location of the charging station is investigated. In [48][49][50][51], the design of electric vehicle charging stations inside the microgrid is examined. In [48], design of the charging system is discussed.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

Ahmadi

Rastgoo

Mahdavi

et al. 2023

The Journal of Engineering

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In this paper, the optimal allocation problem of the Electric Vehicles Parking Lots and DG in micro-grid is studied as a novel optimization problem. In the proposed problem, the different factors including the technical and the economic issues are considered for achieving a realistic solution. In addition, FACTS devices have been added to the network by considering the costs of installation, repair and maintenance, and their effecton the technical and economic parameters of the network has been investigated. Also, how to optimally charge and discharge storage devices and how to optimally inject active or reactive power by charging stations to improve energy management in the network has been studied. In order to evaluate the impact and reduce economic costs, the optimal number of distributed renewable energy, storage and FACTS equipment along with the optimal number of parking lots with Existence of different number of electric vehicles in the survey and microgrid network has been designed using a two-stage optimization method. The method is simulated on the standard IEEE 33 bus. The results show that the optimal power factor of parking lots can be determined during the unloading of vehicles in such a way that the technical parameter of the network is improved.

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Frequency control scheme of an AC Islanded microgrid based on modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients

Cited by 11 publications

References 38 publications

Providing a Control System for Charging Electric Vehicles Using ANFIS

Providing a Control System for Charging Electric Vehicles Using ANFIS

Frequency regulation scheme for islanded microgrid

Optimal allocation of EVs parking lots and DG in micro grid using two‐stage GA‐PSO

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