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Article
Engineering, Electrical & Electronic
Kotakonda Chakravarthi et al.
Summary: This paper proposes a disturbance compensation based Model Predictive Control (MPC) strategy to regulate the line power flow in real-time by re-dispatching generators and battery energy storage systems (BESS). The control strategy has been validated and shown to have better performance compared to the existing technique.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Mahmoud Roustaei et al.
Summary: This paper investigates a cost-effective approach based on Transmission Switching to provide minimum voltage security margin index while easing the capacity of transmission lines. The method is shown to decrease line loading, reduce operation costs, and enhance the stability of the power system.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Yosra Welhazi et al.
Summary: This paper proposes a novel hybrid algorithm CJaya-SQP to solve the coordinated design problem of static var compensator and power system stabilizers. The algorithm generates initial solutions using chaotic maps and fine-tunes the solution using global and local optimizers. Comparisons with other algorithms demonstrate the performance of CJaya-SQP.
Article
Engineering, Electrical & Electronic
Kaiping Qu et al.
Summary: This paper proposes a novel stochastic robust real-time power dispatch model considering wind uncertainty. The model enhances system security and cost efficiency by incorporating automatic power generation control and affinely adjustable robust optimization. The Nataf conversion-based three-point estimate method achieves accurate formulation and stable computation performance.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Feifan Shen et al.
Summary: The article introduces a robust DT method for day-ahead congestion management in distribution networks, which effectively addresses network congestion by formulating a robust DT model and developing a heuristic solution method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Sophia Jasmine George et al.
Summary: Conventionally, the electrical power industry is organized as a vertically integrated system, which leads to ineffective and sluggish development. To overcome these deficiencies, the power sector is being restructured worldwide. This paper introduces the concept of Flexible AC Transmission System (FACTS) as a solution for better and reliable power flow. Three heuristic algorithms were applied to solve the congestion problem, and simulations were conducted on the IEEE 14 bus system for validation.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Review
Automation & Control Systems
Md. Hassanul Karim Roni et al.
Summary: This article presents a brief study on popular bio-inspired meta-heuristic optimization methods and their applications in control engineering and electrical power systems. It aims to provide insights into the recent trends and practices in the use of optimization in various related research areas.
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
(2022)
Article
Management
Can Li et al.
Summary: This paper focuses on the challenge of optimizing generation and transmission expansion planning in power systems with increasing penetration of renewable generating units. A mixed-integer linear programming model is proposed, along with theoretical comparisons of three different transmission expansion formulations. Through a case study, it is shown that the tailored Benders decomposition algorithm outperforms the nested Benders decomposition in solving the GEP and TEP problems simultaneously.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Jyoti Srivastava et al.
Summary: Congestion management in power systems is a complex task, and this proposal introduces a novel optimization-based CM model that optimizes the power of generators to manage congestion with minimized rescheduling cost. The hybrid algorithm Lion Algorithm with Moth-based Mutation (LA-MM) is proposed and tested on IEEE 14 and 30 bus systems for cost and convergence analysis.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2022)
Article
Engineering, Electrical & Electronic
Wei Zhou et al.
Summary: In the deregulated energy market environment, small-scale peer-to-peer (P2P) energy trading can increase distributed photovoltaic power generation consumption and promote local energy balance. However, it also raises the risk of security constraints violations during the utility grid operation. To address physical network congestion caused by distributed P2P energy trading, a method based on a continuous double auction mechanism is proposed, along with a two-tier market coordination mechanism to utilize user flexibility.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Hannes Hobbie et al.
Summary: The integration of weather-dependent renewable energies into energy systems while ensuring security of supply is a challenge for system operators. Detailed modelling of grid operation has become increasingly important. This paper compares grid simulation models and congestion management methods in a European context, investigating the effects of model parameterization and formulation on congestion management results.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Xiao Wang et al.
Summary: This paper introduces a control framework for frequency regulation and congestion management in multi-area power networks through the coordination of distributed storage devices via Virtual Storage Plants. The framework combines distributed optimization and consensus-based control, demonstrating promising performance and the effectiveness of VSP in promoting large-scale storage integration.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Simon Voswinkel et al.
Summary: As energy generation becomes more decentralized, congestion management across grid voltage levels is increasingly necessary. This study proposes using the Shapley value to allocate congestion costs among grid elements, offering fair sharing of costs among operators. Two novel simplification approaches are introduced to reduce computational complexity, resulting in significant reductions in time and resources. These methods have the potential for application in other games with similar properties.
Article
Engineering, Electrical & Electronic
Deepti Singh et al.
Summary: This study proposes a new solution for ensuring the security of Power Purchase Agreements (PPAs) in large-scale PV integrated smart power networks during congestion management. By allocating Reserve Green Energy Transmission Corridors (RGETCs) with reserved capacity, the aim is to maximize the utilization of PV power. The proposed solution uses Power Transfer Distribution Factor (PTDF) Indices to identify the RGETCs and adopts generation rescheduling via security constraints based optimal power flow to manage congestion. The results show that the proposed solution provides security to the PPAs and offers significant technical and economic benefits.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Kaushik Paul et al.
Summary: Congestion management is a critical issue in the operation of deregulated power systems. This research proposes an approach that considers optimal real power rescheduling of generators to manage congestion. An improved crow search algorithm is used to minimize congestion costs, and the results show that this approach outperforms other optimization techniques.
Article
Computer Science, Information Systems
Prashant et al.
Summary: This research presents a multi-objective strategy for managing transmission congestion in power networks using distributed generation and optimization techniques. By considering goals such as congestion management, power loss reduction, power flow improvement, and investment expenditure minimization, the reliability of the network can be enhanced. The study uses locational marginal price (LMP) and transmission congestion cost (TCC) to determine the optimal placement of distributed generators (DG), and optimizes their size using particle swarm optimization (PSO) and hybrid swarm optimization (HSO). Additionally, optimal rescheduling of generators is performed to improve network performance.
Article
Computer Science, Information Systems
Faheem Ul Haq et al.
Summary: This paper proposes a game-theoretic approach to solve network congestion in the Smart Grid. By optimizing the injection power at charging stations, congestion can be mitigated while also satisfying multiple constraints. The proposed approach uses game theory to develop a smart pricing model and mechanism to remove congestion. The unique Nash equilibrium achieved optimally solves the line power congestion management problem and benefits the Electric Vehicles (EVs) the most. The algorithm was tested on a 16-machine 68-bus system and successfully maximizes the gain of the EVs, effectively solving the congestion problem in the Grid.
Article
Computer Science, Information Systems
Anjali Agrawal et al.
Summary: In this paper, a novel hybrid Deep Neural Network (NN) is proposed to handle congestion in the power market. By combining a modified back-propagation algorithm-based artificial neural network (ANN) and deep neural network, the rescheduled generation dispatches can be accurately predicted. Experimental results demonstrate the effectiveness of this method in congestion management.
Article
Engineering, Multidisciplinary
Mahmoud G. Hemeida et al.
Summary: In this study, the Manta Ray Foraging optimization algorithm (MRFO) was applied to minimize power losses in three different networks, and the results were compared with recent applied techniques.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
M. EL-Azab et al.
Summary: The study proposes a multi-objective based congestion management procedure using OTS strategies considering the maximization of system reliability and minimization of total generation cost, with the use of DTR technology to enhance system performance. Simulation results show that transmission system reconfiguration while considering the DTR can lead to reduced generation costs and improved system performance.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Kushal Kanti Ghosh et al.
Summary: Feature selection is a core concept in machine learning and data mining, aiming to eliminate irrelevant or partially relevant features to improve model performance. Researchers have applied various meta-heuristic optimization techniques to overcome the limitations of traditional approaches. The new FS approach based on the Manta ray foraging optimization algorithm outperforms state-of-the-art methods in terms of classification accuracy and number of features selected.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Automation & Control Systems
Mohamed Abd Elaziz et al.
Summary: This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm enhanced using fractional-order calculus to improve the exploitation ability, confirmed through experiments in global optimization and multilevel image segmentation. The Fractional-order MRFO (FO-MRFO) outperforms compared algorithms in both optimization and image segmentation tasks.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Md Sarwar et al.
Summary: Electricity market economics is crucial for efficient operation of power systems. This article presents a method using bid sensitivity factor (BSF) to select generators and alleviate congestion optimally, showing promising results in managing congestion more efficiently and economically.
ENGINEERING REPORTS
(2021)
Article
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Weiguo Zhao et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Article
Energy & Fuels
Ahmed Fathy et al.
Article
Chemistry, Physical
Haitao Xu et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Computer Science, Artificial Intelligence
Fehmi Burcin Ozsoydan et al.
NEURAL COMPUTING & APPLICATIONS
(2019)
Article
Computer Science, Artificial Intelligence
Kaushik Paul et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2019)
Article
Computer Science, Information Systems
Chunquan Li et al.
Article
Computer Science, Artificial Intelligence
Fariborz Zaeim-Kohan et al.
APPLIED SOFT COMPUTING
(2018)
Article
Engineering, Multidisciplinary
Sumit Verma et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2016)
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2014)
Article
Engineering, Electrical & Electronic
K. S. Pandya et al.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2013)
Article
Engineering, Electrical & Electronic
A. Kumar et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2013)
Article
Engineering, Electrical & Electronic
Sudipta Dutta et al.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2008)
Article
Engineering, Electrical & Electronic
G. Yesuratnam et al.
ELECTRIC POWER SYSTEMS RESEARCH
(2007)
