A Multi-objective Swarm Intelligence Approach for Field Crews Patrol Optimization in Power Distribution Systems Restoration

Desuó, N Luiz; Bessani, Michel; Fanucchi, Rodrigo Z.; Gross, Tadeu Júnior; Maciel, Carlos Dias

doi:10.1109/tla.2019.8863181

Cited by 5 publications

(4 citation statements)

References 36 publications

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“…The frequency and voltage limits must be maintained by sharing the generation gap and fulfilling the load demand. Thus, the optimized droop to control operating VSIs in active and reactive power (PQ) mode was feasible if they were connected to a medium-voltage MG that specifies the voltage and frequency references [17]. in active and reactive power (PQ) mode was feasible if they were connected to a mediumvoltage MG that specifies the voltage and frequency references [17].…”

Section: Microgrid Modellingmentioning

confidence: 99%

“…Thus, the optimized droop to control operating VSIs in active and reactive power (PQ) mode was feasible if they were connected to a medium-voltage MG that specifies the voltage and frequency references [17]. in active and reactive power (PQ) mode was feasible if they were connected to a mediumvoltage MG that specifies the voltage and frequency references [17]. However, a sudden disconnection of the grid power source would collapse the MG system because balance is absent in load and generation power, affecting the frequency and voltage control.…”

Section: Microgrid Modellingmentioning

confidence: 99%

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Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm

Taha,

Kurnaz

2023

Energies

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The urgent demand for clean and renewable energy sources has led to the emergence of the microgrid (MG) concept. MGs are small grids connecting various micro-sources, such as diesel, photovoltaic wind, and fuel cells. They operate flexibly, connected to the grid, standalone, and in clusters. In AC MG control, a hierarchical system consists of three levels: primary, secondary, and tertiary. It monitors and ensures MG stability, power quality, and power sharing based on the specifications of governing protocols. Various challenging transient disturbances exist, such as generator tripping, secondary control failure due to communication delay, and drastic load changes. Although several optimal power sharing methods have been invented, they pose complex control requirements and provide limited improvement. Therefore, in this paper, a novel optimized droop control is proposed using a metaheuristic multi-objective evolutionary algorithm called the Centripetal Force-Gravity Search Algorithm (CF-GSA) to improve the droop performance of power sharing, voltage and frequency stability, and power quality. CF-GSA is an improved algorithm designed to address the issue of local solutions commonly encountered in optimization algorithms. The effectiveness and superiority of the proposed method are validated through a series of simulations. The results of these simulations show that the proposed multi-objective optimization droop control method works well to fix problems caused by power sharing errors in isolated AC microgrids that have to deal with high inductive loads and changes in line impedance.

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Section: Microgrid Modellingmentioning

confidence: 99%

Section: Microgrid Modellingmentioning

confidence: 99%

Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm

Taha,

Kurnaz

2023

Energies

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“…Three decision parameters (inspection period, extreme shock threshold, and shock threshold) were optimized. Li et al, 25 Han et al, 26 Acosta et al, 27 Desuo´et al, 28 Bosshard and Kolar, 29 and Su et al 30 also studied maintenance strategies under several different objectives separately. Although many studies have been conducted in multi-objective maintenance strategy.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal maintenance strategy considering imperfect preventive maintenance: A case study on railway VOBC

Cong

Shangguan

Cai

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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Preventive maintenance procedures for systems are designed to improve long-term operating performance and reduce maintenance costs. This paper attempts to seek a trade-off between system reliability and maintenance costs and explores the optimal multi-objective maintenance strategy applicable to different field situations. We first provide an overview of the problem and analyze the impacts of varying different maintenance activities on reliability. Then, a mathematical model of reliability losses and maintenance costs is defined and derived, which will be used to construct a multi-objective maintenance strategy. In this research, the PSO-SA stochastic optimization algorithm is proposed to discover the Pareto frontier to find the optimal preventive maintenance threshold and inspection interval that minimizes reliability loss and maintenance costs. Finally, a case study is performed with railway VOBC as an illustration. The analysis results illustrate that the proposed multi-objective maintenance strategy can satisfy the preferences of various decision-makers. It is suitable for different maintenance needs and can support the development of on-site maintenance strategies.

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“…Route selection of IoT has always been a research hotspot. In [8], Desuo et al employed an improved Dijkstra algorithm to find the shortest path between two consecutive points for IoTnetworks. In [9], He et al proposed an energy-aware route selection algorithm for simultaneous information and power transfer to decrease energy consumption.…”

Section: Introductionmentioning

confidence: 99%

UCB-Based Route and Power Selection Optimization for SDN-Enabled Industrial IoT in Smart Grid

Zhou

Liang

et al. 2022

Wireless Communications and Mobile Computing

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As an essential building block for smart grid, the industrial internet of things (IIoT) plays a significant role in providing powerful sensing capability and ubiquitous connectivity for differentiated power services. The rapid development of smart grid imposes higher data monitoring and transmission requirements in terms of delay and energy efficiency. However, due to the severe electromagnetic interference (EMI) caused by massive electrical equipment, the transmission performance of IIoT becomes inferior. The traditional single-hop transmission mode evolves towards a multihop cooperation mode to satisfy differentiated quality of service (QoS) requirements. In this paper, we propose an upper confidence bound- (UCB-) based joint route and power selection optimization algorithm to support multihop cooperation mode evolution, which adopts a software-defined networking- (SDN-) enabled IIoT network framework to simplify network configuration and management. Compared with existing local-side-information-based route selection (LSI-RS) and random route selection (RRS) algorithms, simulation results demonstrate that the proposed algorithm has superior performances in total delay, energy efficiency, and utility.

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A Multi-objective Swarm Intelligence Approach for Field Crews Patrol Optimization in Power Distribution Systems Restoration

Cited by 5 publications

References 36 publications

Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm

Droop Control Optimization for Improved Power Sharing in AC Islanded Microgrids Based on Centripetal Force Gravity Search Algorithm

Multi-objective optimal maintenance strategy considering imperfect preventive maintenance: A case study on railway VOBC

UCB-Based Route and Power Selection Optimization for SDN-Enabled Industrial IoT in Smart Grid

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