Power Flow Optimization Strategy of Distribution Network with Source and Load Storage Considering Period Clustering

Zheng, Fangfang; Meng, Xianjun; Wang, Lidi; Zhang, Nannan

doi:10.3390/su15054515

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…In PSO, multiple particles in the search space guide the updating of velocity and position according to global and individual optimality, and coevolution finds the optimal solution to the problem. The velocity updating formula is as follows [23]:…”

Section: Solution Methodsmentioning

confidence: 99%

Voltage Control Strategy for Low-Voltage Distribution Network with Distributed Energy Storage Participating in Regulation under Low-Carbon Background

et al. 2023

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With the gradual advancement towards the goal of carbon neutrality, photovoltaic power generation, as a relatively mature zero-carbon power technology, will be connected to the grid in an increasing proportion. A voltage control strategy, involving distributed energy storage, is proposed in order to solve the voltage deviation problem caused by the high proportion of PV connected to the low voltage distribution network (LVDN). A voltage calculation method of the LVDN node with a high proportion of PV is proposed. According to the voltage distribution of the LVDN nodes running throughout the day, fuzzy cluster analysis was used to partition the nodes in the LVDN. A two-objective mathematical model for optimizing distributed energy storage in a partition was constructed, and a particle swarm optimization algorithm was used to solve the model. A voltage control strategy based on sensitivity analysis is proposed, and a mathematical model is established to analyze the relationship between the node current increment and the node off-limit voltage. The mathematical relationship among the node off-limit voltage, node off-limit power and energy storage exchange power is derived, and the voltage deviation of the distribution network can be suppressed by adjusting the injected power of the distributed energy storage. Through case analysis, it is verified that the proposed voltage control strategy can reduce the voltage deviation of the distribution network nodes, effectively solve the problem of the distribution network voltage deviation, and reduce the active power loss.

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Section: Solution Methodsmentioning

confidence: 99%

Voltage Control Strategy for Low-Voltage Distribution Network with Distributed Energy Storage Participating in Regulation under Low-Carbon Background

et al. 2023

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“…It involves taking into account elements like the interoperability, dependability, and efficiency of the various sources in order to maximize energy output and reduce environmental impact. Lin, Z., and others [18] have talked about Reactive power adjustment for distribution network-connected electric vehicles entails controlling the charging rate of the vehicle in order to balance active and reactive power consumption while taking voltage limitations into account. To avoid power grid overloads and voltage instability, it makes sure that the distribution network maintains steady voltage levels during peak charging times.…”

Section: Related Wordsmentioning

confidence: 99%

“…Lin, Z., et, al. [18] 2023 Improved voltage stability and reduced power losses due to the efficient management of reactive power flow between the EV and the distribution network.…”

Section: Related Wordsmentioning

confidence: 99%

Prediction Analysis of Fault Mode Sets for High Permeability Distributed Energy Distribution Networks Based on Multivariate Data

Jianwei Ma

2024

jes

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This technical abstract describes a prediction analysis methodology for fault mode sets in high-permeability distributed energy distribution networks (DEDNs). DEDNs are complex systems composed of multiple interconnected energy sources, storage units, and loads, which are managed and controlled by intelligent devices. These systems have become increasingly important in modern electricity networks due to their ability to integrate a high share of renewable and distributed energy resources. The proposed prediction analysis aims to identify and classify the various fault modes that can occur in high-permeability DEDNs based on multivariate data. It includes information about the system's operational parameters, such as voltage, current, and frequency, as well as data on weather conditions, load profiles, and the state of the network. The methodology involves collecting and pre-processing the data using suitable techniques, such as data filtering and noise removal.

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“…The paper [41] proposes a power flow optimization strategy model of a distribution network with non-fixed weighting factors of source, load and storage. The k-means algorithm is used to cluster the equivalent load curve in different periods, and then the fuzzy comprehensive evaluation method is used to determine the weighting factor of the optimization model in each period.…”

Section: Cluster 6 Numerical Flow Modeling Issuesmentioning

confidence: 99%

Explore actual sustainable energy topics by using Yake!, Krovetz, GSDMM and short text summaries

Chigarev¹

2023

Preprint

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This paper considers the reasonability of using GSDMM as a method for clustering short texts - titles and abstracts of publications 2021-2023 of MDPI journals on sustainable energy topics. The paper proposes an approach to identifying relevant research topics based on the use of the Python script Yake!, the Krovetz streamer, the GSDMM algorithm, and short text annotations. It is emphasized that researchers prefer to rely on specific publications rather than keywords when searching for information on a topic of interest. The bibliometric records of sustainable energy publications from 2021 to 2023 in Sustainability (Energy Sustainability section — 1,926 search results) and Energies (Sustainable Energy section — 994 search results) were used as data for analysis. The GSDMM algorithm was used to cluster the texts, and Yake! to extract the keywords for the GSDMM algorithm's vocabulary. This article summarizes topics found in 9 clusters, including general sustainable energy issues, biomass recycling, region-specific issues, building energy use, economic growth and investment, numerical flow modeling, generation cost optimization, heat to energy conversion, weather-related risks, and false data attacks.

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Power Flow Optimization Strategy of Distribution Network with Source and Load Storage Considering Period Clustering

Cited by 5 publications

References 10 publications

Voltage Control Strategy for Low-Voltage Distribution Network with Distributed Energy Storage Participating in Regulation under Low-Carbon Background

Voltage Control Strategy for Low-Voltage Distribution Network with Distributed Energy Storage Participating in Regulation under Low-Carbon Background

Prediction Analysis of Fault Mode Sets for High Permeability Distributed Energy Distribution Networks Based on Multivariate Data

Explore actual sustainable energy topics by using Yake!, Krovetz, GSDMM and short text summaries

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