Power Flows and Losses Calculation in Radial Networks by Representing the Network Topology in the Hierarchical Structure Form

Gulakhmadov, Aminjon; Asanova, Salima; Asanova, D. U.; Safaraliev, Murodbek; Tavlintsev, Alexander; Lyukhanov, Egor; Semenenko, Sergey; Odinaev, Ismoil

doi:10.3390/en15030765

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Networks of rural, residential, commercial, and industrial grid areas are primarily grouped in metropolitan regions, and electrical distribution networks are a part of the power system responsible for supplying electrical services to these areas [61]. In order to reduce investment costs, these grids are often designed with a radial configuration [13]. However, this configuration causes these grids to create large power losses (between 6 and 18 percent in the case of Colombia, for example) [62].…”

Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

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Modern Techniques for the Optimal Power Flow Problem: State of the Art

2022

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Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has attracted increasing interest with the introduction of smart grids. Optimal power flow developed as a crucial instrument for resource planning effectiveness as well as for enhancing the performance of electrical power networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) costs, voltage deviations, total power transfer capability, voltage stability, emission of generation units, system security, etc., are just a few examples of objective functions related to the electric power system that can be optimized. Due to the nonlinear nature of optimal power flow problems, the classical approaches may become locked in local optimums, hence, metaheuristic optimization techniques are frequently used to solve these issues. The most recent optimization strategies used to solve optimal power flow problems are discussed in this paper as the state of the art (according to the authors, the most pertinent studies). The presented optimization techniques are grouped according to their sources of inspiration, including human-inspired algorithms (harmony search, teaching learning-based optimization, tabu search, etc.), evolutionary-inspired algorithms (differential evolution, genetic algorithms, etc.), and physics-inspired methods (particle swarm optimization, cuckoo search algorithm, firefly algorithm, ant colony optimization algorithm, etc.).

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Section: Application Of Heuristic Methods On Ac MV Gridsmentioning

confidence: 99%

“…A power system optimization challenge is optimal power flow (OPF) [3][4][5][6][7][8][9][10][11][12][13]. Carpentier [14] first raised this issue in 1962.…”

Section: About Optimal Power Flowmentioning

confidence: 99%

Modern Techniques for the Optimal Power Flow Problem: State of the Art

2022

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“…Publication [49] presented monitoring of insulation ageing, and neural networks were used for evaluation in publication [50]. To approach assessment of losses in sufficient manner, it is important to develop universal and efficient algorithmic methods [51] in terms of implementation convenience as well as acceptable computational complexity [52]. The significance of this study lies in its potential to improve energy monitoring [53] systems with a real-time algorithm to mitigate risks promptly.…”

Section: Introductionmentioning

confidence: 99%

Improved Methodology for Power Transformer Loss Evaluation: Algorithm Refinement and Resonance Risk Analysis

Plienis,

Deveikis,

Jonaitis

et al. 2023

Energies

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The decline in power quality within electrical networks is adversely impacting the energy efficiency and safety of transmission elements. The growing prevalence of power electronics has elevated harmonic levels in the grid to an extent where their significance cannot be overlooked. Additionally, the increasing integration of renewable energy sources introduces heightened fluctuations, rendering the prediction and simulation of working modes more challenging. This paper presents an improved algorithm for calculating power transformer losses attributed to harmonics, with a comprehensive validation against simulation results obtained from the Power Factory application and real-world measurements. The advantages of the algorithm are that all evaluations are performed in real-time based on single-point measurements, and the algorithm was easy to implement in a Programmable Logic Controller (PLC). This allows us to receive the exchange of information to energy monitoring systems (EMSs) or with Power factor Correction Units (PFCUs) and control it. To facilitate a more intuitive understanding and visualization of potential hazardous scenarios related to resonance, an extra Dijkstra algorithm was implemented. This augmentation enables the identification of conditions, wherein certain branches exhibit lower resistance than the grid connection point, indicating a heightened risk of resonance and the presence of highly distorted currents. Recognizing that monitoring alone does not inherently contribute to increased energy efficiency, the algorithm was further expanded to assess transformer losses across a spectrum of Power Factory Correction Units power levels. Additionally, a command from a PLC to a PFCU can now be initiated to change the capacitance level and near-resonance working mode. These advancements collectively contribute to a more robust and versatile methodology for evaluating power transformer losses, offering enhanced accuracy and the ability to visualize potentially critical resonance scenarios.

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A New Electricity Infrastructure for Fostering Urban Sustainability: Challenges and Emerging Trends

Bompard,

Conti,

Masera

et al. 2024

Energies

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The energy transition and sustainability are the critical challenges of our time, and cities are at the forefront of this transformation. As key players, these urban centers are pioneering innovative strategies to reduce carbon emissions, enhance energy efficiency, and promote renewable energy sources. Central to the transition is the role of electricity, which acts as a cornerstone in the “cocktail” of sustainable solutions. The development of an efficient and resilient “Electricity City Grid” is essential to support this shift. This article explores the target functions and challenges associated with designing and operating the Smart Electricity City Grid of the future. It delves into the infrastructural costs required for this transition and examines the economic and technical hurdles that must be overcome. Finally, the article looks ahead to the future of research in this field, highlighting the areas that will be crucial for the continued evolution and success of smart urban grids. Through this comprehensive analysis, we aim to suggest a roadmap for cities striving to achieve sustainability through advanced electrical infrastructure.

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Power Flows and Losses Calculation in Radial Networks by Representing the Network Topology in the Hierarchical Structure Form

Cited by 3 publications

References 21 publications

Modern Techniques for the Optimal Power Flow Problem: State of the Art

Modern Techniques for the Optimal Power Flow Problem: State of the Art

Improved Methodology for Power Transformer Loss Evaluation: Algorithm Refinement and Resonance Risk Analysis

A New Electricity Infrastructure for Fostering Urban Sustainability: Challenges and Emerging Trends

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