Data‐driven approach for real‐time distribution network reconfiguration

Yin, Ziyang; Ji, Xingquan; Liu, Qi; Bai, Xingzhen

doi:10.1049/iet-gtd.2019.1733

Cited by 22 publications

(15 citation statements)

References 37 publications

(66 reference statements)

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“…The DLF matrix stays constant throughout the iterations if the device configuration does not change [19], [20]. The only modifications that occur throughout the load flow process are to node current vector and to voltage correction vector (ΔV) [21].…”

Section: Load Flow Analysis Of Radial Distribution Systemmentioning

confidence: 99%

An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

Salkuti

Battu

2021

Bulletin EEI

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Distribution system represents a crucial portion of power system as it is the connection between the bulk power transmission network and the customers connected at load point. Distribution networks are increasing in size and are spread too far. Low reactance to resistance ratio and large size of network leads to higher power losses in lines and low node voltage at customer end. High power losses reduce the efficiency and affect the economy. Therefore, in this paper an algorithm for reconfiguration of distribution system for loss reduction and voltage profile enhancement is proposed. The proposed reconfiguration approach has been applied to 16 bus radial distribution system (RDS).

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Section: Load Flow Analysis Of Radial Distribution Systemmentioning

confidence: 99%

An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

Salkuti

Battu

2021

Bulletin EEI

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“…To validate that the heuristic rules in the proposed H-IFWA algorithm can effectively reduce the solution spaces, we assume that z = 3, and p S can be obtained, and this, compared with the results based on the fundamental loop matrix, is displayed in Table 4. {9, 10, 11, 12, 13, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0} {12, 13, 14, 34} 3 {2, 3,4,5,6,7,8,9,10,11,18,19,20,21, 0, 0, 0, 0, 0, 0} {9, 10, 11, 35} 4 {6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 25, 26, 27, 28, 29, 30, 31, 32} {17, 31, 32, 36} 5 {3, 4, 5, 22, 23, 24, 25, 26, 27, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0} {24, 27, 28, 37}…”

Section: Solution Spacesmentioning

confidence: 99%

“…Nevertheless, the deepening penetration of renewable distributed generations (DGs), such as wind and solar resources, has significantly changed the characteristics of distribution networks. The traditional one-way power flow three-phase symmetric distribution network analysis method cannot be applied to the current two-way power flow three-phase asymmetric active distribution network with multiple distributed renewable sources, which makes the DNR problem face more complex challenges on the power flow calculation [17], fault recovery [5,18], and optimal reconfiguration [19][20][21] of distribution networks. Therefore, dynamic DNR considering the massive integration of DGs is of great significance to develop the operation level of the distribution network and the utilization efficiency of DGs.…”

Section: Introductionmentioning

confidence: 99%

Three-Phase Symmetric Distribution Network Fast Dynamic Reconfiguration Based on Timing-Constrained Hierarchical Clustering Algorithm

Zhang

Yin

et al. 2021

Symmetry

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This paper develops a novel dynamic three-phase symmetric distribution network reconfiguration (DNR) approach based on hierarchical clustering with timing constraints, which can divide the time period according to the time-varying symmetric load demand and symmetric distributed generations (DGs) output condition for a given time interval. The significance of the proposed technique is that by approximating the cluster center as the load status and DGs output status of the corresponding period, in this way, the intractable dynamic reconfiguration problem can be recast as multiple single-stage static three-phase symmetric DNR problems, which can effectively reduce the complexity of the three-phase symmetric dynamic reconfiguration. Furthermore, an improved fireworks algorithm considering heuristic rules (H-IFWA) is proposed and investigated to efficiently manage each single-stage static three-phase symmetric DNR problem. In order to avoid trapping into a local optimum or to facilitate the computational performance, the power moment method and the coding method based on heuristic rules are employed to reduce the solution space. The effectiveness of the proposed H-IFWA is validated on the IEEE 33, 119-bus system and a practical-scale Taiwan power company (TPC) 84-bus test system with DGs.

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“…Tujuan utama dari rekonfigurasi jaringan adalah untuk memin imalkan kehilangan daya aktif dan meningkatkan kualitas tegangan [31]. Kendala dari masalah optimasi konfigurasi adalah persamaan aliran beban, batas atas dan bawah tegangan bus, serta batas atas dan bawah arus saluran [32]. Optimasi konfigurasi untuk minimisasi keh ilangan daya aktif dapat diformulasikan sebagai berikut [33]: [20].…”

Section: Formulasi Optimisasi Multi-objektif Jaringan Distribusiunclassified

Optimisasi Multi-objektif pada Rekonfigurasi Jaringan Distribusi Tenaga Listrik dengan Integrasi Pembangkit Terdistribusi Menggunakan Metode Sistem Kekebalan Buatan

Syahputra

Soesanti

2020

Jurnal Teknik Elektro

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This study proposes a multi-objective optimization for power distribution network reconfiguration by integrating distributed generators using an artificial immune system (AIS) method. The most effective and inexpensive technique in reducing power losses in distribution networks is optimizing the network reconfiguration. On the other hand, small to medium scale renewable energy power plant applications are growing rapidly. These power plants are operated on-grid to a distribution network, known as distributed generation (DG). The presence of DG in this distribution network poses new challenges in distribution network operations. In this study, the distribution network optimization was carried out using the AIS method. In optimization, the goal to be achieved is not only one objective but should be multiple objectives. Multi-objective optimization aims to reduce power losses, improve the voltage profile, and maintain a maintained network load balance. The AIS method has the advantage of fast convergence and avoids local minima. To test the superiority of the AIS method, the distribution network optimization with and without DG integration was carried out for the 33-bus and 71-bus models of the IEEE standard distribution networks. The results show that the AIS method can produce better system operating conditions than before the optimization. The parameters for the success of the optimization are minimal active power losses, suitable voltage profiles, and maintained load balance. This optimization has successfully increased the efficiency of the distribution network by an average of 0.61%.

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Data‐driven approach for real‐time distribution network reconfiguration

Cited by 22 publications

References 37 publications

An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

Three-Phase Symmetric Distribution Network Fast Dynamic Reconfiguration Based on Timing-Constrained Hierarchical Clustering Algorithm

Optimisasi Multi-objektif pada Rekonfigurasi Jaringan Distribusi Tenaga Listrik dengan Integrasi Pembangkit Terdistribusi Menggunakan Metode Sistem Kekebalan Buatan

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