A Distribution Network Reconfiguration Algorithm Based on Hopfield Neural Network

Gao, Wenjing; Tang, Nan; Xiangyang, Mu

doi:10.1109/icnc.2008.147

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…Then we built Hopfiled networks for the restructuring problem. Research results of the paper has overcome the divergence properties in the paper [7] and results of simulation for Matlab are the same as research results [9].…”

Section: Resultssupporting

confidence: 53%

“…To set up the corresponding neural network for power distribution network, we use the method of structuring of Hopfield neural networks by [9] which is arranged in a matrix of size (N + M + 1) × N as presented in Table 1, in which N + M + 1 is the level number of all nodes and the number of columns refers to the number of all nodes which do not include substations. The (M + 1) is the number of substations and v ij is the output of neuron (i, j).…”

Section: Model Of the Hopfield Network Applied To The Reconfigurationmentioning

confidence: 99%

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Application of Hopfield neural network for distribution network’s reconfiguration

Linh¹,

Cát²

2014

JCC

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Tóm tắt. Trong hệ thống điện, tổn thất điện năng của mạng điện phân phối chiếm tỉ lệ lớn. Nhằm mục tiêu giảm hao phí điện năng người ta áp dụng nhiều phương pháp như: cải tạo lưới điện, đặt tụ bù với dung lượng và vị trí thích hợp, vận hành tối ưu hệ thống. .. vv. Trong bài báo này đề cập đến một phương pháp khác để làm giảm tổn thất đó là phương pháp tái cấu trúc. Phương pháp tái cấu trúc là phương pháp tìm ra một cấu trúc lưới tối ưu để vận hành mạng điện có tổn thất nhỏ nhất. Việc tái cấu trúc bằng phương pháp cổ điển sẽ đòi hỏi rất nhiều thời gian đối với mạng điện có nhiều nút, và không thích hợp cho việc đáp ứng nhanh. Vì vậy, trong bài báo này đề xuất việc sử dụng mạng noron Hopfield để tìm kiếm cấu trúc tối ưu của lưới phân phối. Phương pháp đề xuất được kiểm chứng trên các dữ liệu lưới điện mẫu của IEEE. Kết quả của phương pháp đề xuất cho kết quả chính xác và đạt được tổn thất mạng điện tối ưu. Từ khóa. Lưới điện phân phối, mạng Hopfield, tái cấu trúc, tổn thất điện năng.

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Section: Resultssupporting

confidence: 53%

Section: Model Of the Hopfield Network Applied To The Reconfigurationmentioning

confidence: 99%

Application of Hopfield neural network for distribution network’s reconfiguration

Linh¹,

Cát²

2014

JCC

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“…On behalf of DNR for power distribution network, there are many researchers have applied the heuristic methods in DNR such as in [1] has applied the Network Partitioning Theory, Ant Colony System (ACS) in [2] and the authors in [3], has presented the Hopfield Neural Network (HNN). Moreover, in [4], an improvement of Ant Colony System Algorithm (ACSA) has been proposed in solving the distribution network reconfiguration problem.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of heuristic algorithm ABC and GA considering VPI for network reconfiguration

Sulaima

Mohamad

Jali

et al. 2014

2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014)

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Distribution Network Reconfiguration (DNR) is an important part of power distribution automotive system. In order to improve the system security as well as minimize the power losses in the system; it can be done by considering a DNR with the superlative optimization method. This paper presents the comparison study of two heuristic methods which are Artificial Bee Colony (ABC) and Genetic Algorithm (GA). Their performance and impact in terms of Voltage Profile Improvement (VPI) and power loss in the network system are investigated. The effectiveness of both methods will be tested in an IEEE 33-bus system. The analysis of the results is hope to help the researchers in improving the voltage profile and expands the system security in the future.

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“…The problem associated with the massive deployment of IEDs among the DN is the availability of accurate and cheap sensors to be used as the source of information to be sent to the IEDs. The accuracy is needed to collect reliable voltage and current measurements, which are the inputs of typical algorithms that monitor and control the network [7][8][9][10]. However, this is an aspect that is addressed by the standards associated with the new generation of sensors, the low-power instrument transformers (LPITs).…”

Section: Introductionmentioning

confidence: 99%

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

2021

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Distribution networks are currently subject to a huge revolution in terms of assets being installed. In particular, the massive spread of renewable energy sources has drastically changed the way of approaching the grid. For example, renewables affected (i) the production of the legacy power plants, (ii) the quality of the supplied energy, decreasing it, (iii) the fault detection and location, etc. To mitigate the significant drawbacks of the renewables’ presence, several intelligent electronic devices have been (and are being) developed and installed among the grid. The aim is to increase grid monitoring and knowledge of its status. However, considering the significant number of nodes of the distribution network, compared to the transmission one, the process of installing new equipment is not effortless and is also quite expensive. This work aims at emphasizing a new concept of distributed monitoring systems, based on the phasor measurement unit’s current measurements, and a controlling algorithm to exploit it. The idea underneath the work is to avoid the out-of-service time needed and the costs associated with the installation of voltage sensors. Therefore, this paper describes an algorithm that exploits measurements from existing equipment and current measurements from PMUs to obtain information on the load and the node voltages. The algorithm is then tested on simulated power networks of increasing complexity and verified with an uncertainty evaluation. The results obtained from the simulation confirm the applicability and effectiveness of the algorithm and the benefits of a current-based monitoring system.

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A Distribution Network Reconfiguration Algorithm Based on Hopfield Neural Network

Cited by 9 publications

References 4 publications

Application of Hopfield neural network for distribution network’s reconfiguration

Application of Hopfield neural network for distribution network’s reconfiguration

Comparative study of heuristic algorithm ABC and GA considering VPI for network reconfiguration

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

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