Stochastic forecast error estimation of high PV penetration system considering net‐load/PV decoupling for microgrid operation

Yoo, Yeuntae; Jang, Gilsoo; Lee, Jaehyeong; Jung, Seungmin

doi:10.1049/rpg2.12506

Cited by 3 publications

(2 citation statements)

References 37 publications

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“…With the integration of distributed renewable energy sources and the consequent bidirectionality of the electricity grid, the planning and scheduling strategy becomes a topic of primary importance within the research field, for local distributors, and for infrastructure management [164]. In this context, several studies proposed coordinated scheduling of generators in order to relieve the grid from the randomness and volatility of renewables, such as wind and solar [67], [165], [166], [167], [168]. Moreover, the significance of energy hubs in the field is steadily increasing, as they embody a multi-carrier energy system catering to diverse types of energy demands.…”

Section: Power System Planning and Control 1) Schedulingmentioning

confidence: 99%

K-Means and Alternative Clustering Methods in Modern Power Systems

Miraftabzadeh,

Colombo,

Longo

et al. 2023

IEEE Access

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As power systems evolve by integrating renewable energy sources, distributed generation, and electric vehicles, the complexity of managing these systems increases. With the increase in data accessibility and advancements in computational capabilities, clustering algorithms, including K-means, are becoming essential tools for researchers in analyzing, optimizing, and modernizing power systems. This paper presents a comprehensive review of over 440 articles published through 2022, emphasizing the application of K-means clustering, a widely recognized and frequently used algorithm, along with its alternative clustering methods within modern power systems. The main contributions of this study include a bibliometric analysis to understand the historical development and wide-ranging applications of K-means clustering in power systems. This research also thoroughly examines K-means, its various variants, potential limitations, and advantages. Furthermore, the study explores alternative clustering algorithms that can complete or substitute K-means. Some prominent examples include K-medoids, Time-series K-means, BIRCH, Bayesian clustering, HDBSCAN, CLIQUE, SPECTRAL, SOMs, TICC, and swarm-based methods, broadening the understanding and applications of clustering methodologies in modern power systems. The paper highlights the wide-ranging applications of these techniques, from load forecasting and fault detection to power quality analysis and system security assessment. Throughout the examination, it has been observed that the number of publications employing clustering algorithms within modern power systems is following an exponential upward trend. This emphasizes the necessity for professionals to understand various clustering methods, including their benefits and potential challenges, to incorporate the most suitable ones into their studies.INDEX TERMS Clustering algorithms, K-means clustering, power systems. FIGURE 3. K-means clustering and power system bibliometric trend per country.

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Section: Power System Planning and Control 1) Schedulingmentioning

confidence: 99%

K-Means and Alternative Clustering Methods in Modern Power Systems

Miraftabzadeh,

Colombo,

Longo

et al. 2023

IEEE Access

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“…High load balanced scheduling needs to fully consider various restrictions and constraints of the power system [1], such as generator capacity, transmission line capacity, equipment operation safety, etc., and make full use of renewable energy and power storage technology [2]. Through reasonable load scheduling and power resource allocation, high load balanced scheduling can effectively balance the power supply and demand relationship, reduce the pressure and operation cost of the power system, improve the robustness and fault tolerance of the power system, and reduce the risk of failure and power outage.…”

Section: Introductionmentioning

confidence: 99%

High load balancing scheduling method of power system based on multi-objective genetic algorithm

Zhang,

Wang

2024

Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)

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A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

et al. 2023

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Microgrids technologies are seen as a cost effective and reliable solution to handle numerous challenges, mainly related to climate change and power demand increase. This is mainly due to their potential for integrating available on-site renewable energy sources and their flexibility and scalability. The particularity of microgrids is related to their capacity to operate in synchronization with the main grid or in islanded mode to secure the power supply of nearby end-users after a grid failure thanks to storage solutions and an intelligent control system. The most critical operating case occurs when a sudden transition from grid-connected (GC) to stand-alone operation (SA) happens. During the transition, the system experiences abrupt changes that can result in a malfunction of the control system and a possible failure of the power system. The transition issue attracted considerable attention from researchers. Indeed, many research works are proposed to address this issue by proposing detection and transition techniques that ensure a smooth transition at the islanding time. Although there are several approaches to dealing with this issue, a categorization of the proposed methods in the literature and their differences is useful to assist engineers and researchers working on this topic. Thus, this study proposes a comprehensive review to summarize these approaches and point out their advantages and limitations.

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Stochastic forecast error estimation of high PV penetration system considering net‐load/PV decoupling for microgrid operation

Cited by 3 publications

References 37 publications

K-Means and Alternative Clustering Methods in Modern Power Systems

K-Means and Alternative Clustering Methods in Modern Power Systems

High load balancing scheduling method of power system based on multi-objective genetic algorithm

A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids

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