A Novel Multi-Area Distribution State Estimation Approach for Active Networks

This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the substation, the estimated local voltage profiles of all zones are coordinated with the local state estimation results of their neighboring zones. In this regard, each coordinator runs a state estimation process for the border buses (overlapped buses and buses with tie-lines) of its zones and based on the results for voltage phasor of border buses, the local voltage profiles in non-border buses of its zones are modified. The performance of the proposed algorithm is tested with an active distribution network, considering different combinations of operating conditions, network topologies, network decompositions, and measurement scenarios, and the results are presented and discussed.

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Minimizing area of VLSI power distribution networks using river formation dynamics

Journal of Systems and Information Technology ◽

10.1108/jsit-10-2017-0097 ◽

2018 ◽

Vol 20 (4) ◽

pp. 417-429 ◽

Cited By ~ 3

Author(s):

Satyabrata Dash ◽

Sukanta Dey ◽

Deepak Joshi ◽

Gaurav Trivedi

Keyword(s):

Power Distribution ◽

Large Scale ◽

Distribution Network ◽

Distribution Networks ◽

Power Distribution Networks ◽

Power Distribution Network ◽

Content Type ◽

Ir Drop ◽

Formation Dynamics ◽

River Formation Dynamics

Purpose The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints. Design/methodology/approach The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network. Findings A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics. Originality/value Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

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A Framework for Identifying the Critical Region in Water Distribution Network for Reinforcement Strategy from Preparation Resilience

Sustainability ◽

10.3390/su12219247 ◽

2020 ◽

Vol 12 (21) ◽

pp. 9247

Author(s):

Mingyuan Zhang ◽

Juan Zhang ◽

Gang Li ◽

Yuan Zhao

Keyword(s):

Water Distribution ◽

Large Scale ◽

Distribution Network ◽

Water Distribution Network ◽

Distribution Networks ◽

Water Shortage ◽

Hydraulic Control ◽

Urban Function ◽

Network Disruption ◽

Critical Regions

Water distribution networks (WDNs), an interconnected collection of hydraulic control elements, are susceptible to a small disturbance that may induce unbalancing flows within a WDN and trigger large-scale losses and secondary failures. Identifying critical regions in a water distribution network (WDN) to formulate a scientific reinforcement strategy is significant for improving the resilience when network disruption occurs. This paper proposes a framework that identifies critical regions within WDNs, based on the three metrics that integrate the characteristics of WDNs with an external service function; the criticality of urban function zones, nodal supply water level and water shortage. Then, the identified critical regions are reinforced to minimize service loss due to disruptions. The framework was applied for a WDN in Dalian, China, as a case study. The results showed the framework efficiently identified critical regions required for effective WDN reinforcements. In addition, this study shows that the attributes of urban function zones play an important role in the distribution of water shortage and service loss of each region.

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A Practical GIS-Based Reliability Estimation System for Large Scale Distribution Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.1802 ◽

2012 ◽

Vol 433-440 ◽

pp. 1802-1810 ◽

Cited By ~ 2

Author(s):

Lin Guan ◽

Hao Hao Wang ◽

Sheng Min Qiu

Keyword(s):

Data Storage ◽

Large Scale ◽

Network Reliability ◽

Distribution Network ◽

Reliability Assessment ◽

Distribution Networks ◽

Reliability Estimation ◽

Assessment Model ◽

Estimation System ◽

The Impact

A new algorithm as well as the software design for large-scale distribution network reliability assessment is proposed in this paper. The algorithm, based on fault traversal algorithm, obtains network information from the GIS. The structure of distribution network data storage formats is described, facilitating automatic output of the feeders’ topological and corresponding information from the GIS. Also the judgment of load transfer is discussed and the method for reliability assessment introduced in this paper. Moreover, The impact of the scheduled outage is taken into account in the assessment model, making the results more in accordance with the actual situation. Test Cases show that the proposed method features good accuracy and effectiveness when applied to the reliability assessment of large-scale distribution networks.

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Robust distribution state estimation for active networks

2008 43rd International Universities Power Engineering Conference ◽

10.1109/upec.2008.4651541 ◽

2008 ◽

Cited By ~ 4

Author(s):

Fabrizio Pilo ◽

Giuditta Pisano ◽

Gian Giuseppe Soma

Keyword(s):

State Estimation ◽

Active Networks ◽

Distribution State

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

Jurnal Teknik Elektro ◽

10.15294/jte.v12i2.26353 ◽

2020 ◽

Vol 12 (2) ◽

pp. 57-71

Author(s):

Ramadoni Syahputra ◽

Indah Soesanti

Keyword(s):

Network Optimization ◽

Load Balance ◽

Distribution Network ◽

Reducing Power ◽

Distribution Networks ◽

Operating Conditions ◽

Network Reconfiguration ◽

Multi Objective Optimization ◽

Power Losses ◽

Multi Objective

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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ESTABLISHMENT AND PLACEMENT OF A MULTI-PURPOSE PHASOR MEASUREMENT UNIT TO IMPROVE PARALLEL STATE ESTIMATION IN DISTRIBUTION NETWORKS

Engineering Science & Technology Journal ◽

10.51594/estj.v3i1.256 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1-17

Author(s):

Zeyad Khashroum ◽

Ali Dehghan Chaharabi ◽

Lorena Palmero ◽

Keiichiro Yasukawa

Keyword(s):

State Estimation ◽

Distribution Systems ◽

Distribution Network ◽

Distribution Networks ◽

Phasor Measurement Unit ◽

Measurement Unit ◽

Optimal Method ◽

Control Approach ◽

Phasor Measurement ◽

Neural Fuzzy

Today, microgrids in distribution networks are in dire need of improvement to cope with economic challenges, human losses, and equipment placement issues. Today, there is the issue of scattered resources in distribution systems, which has created many problems in the areas of environment, economy, and human and animal losses. The most important challenge in this section is the existence of voltage and frequency fluctuations during the occurrence of possible events such as severe load changes or errors in distribution networks. Having such a big problem can call a distribution network into question and destroy it. Therefore, it is necessary to provide an optimal method that can meet and cover these challenges. For this purpose, the present research deals with the problem of establishing and placing a multifunctional phasor measurement unit to improve the parallel state estimation in distribution networks, which offers a control approach. This approach determines the time of occurrence of internal and external disturbances after using the phasor unit. The approach of this research is to use a neural-fuzzy method because there is uncertainty in the distribution network due to the mentioned challenges, and training in the system is needed to accurately deploy and place possible errors. Do not occur. When setting up and placing the phasor measuring unit, the most important issue is the proper distribution of the load in the distribution network. The simulation results in the MATLAB / Simulink environment show the improvement of the results according to the proposed approach.Keywords: Distribution Network, Neural-Fuzzy Network, Optimal Load Distribution, Parallel State Estimation, Phasor Measurement Unit.

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“Triple-Alls” Distribution Network Information Model and Platform Design

E3S Web of Conferences ◽

10.1051/e3sconf/202018602001 ◽

2020 ◽

Vol 186 ◽

pp. 02001

Author(s):

Jianfeng Wang ◽

Liang Chen ◽

Liqin Shi ◽

Dao’an Zhang ◽

Hao Liu

Keyword(s):

Power Distribution ◽

Large Scale ◽

Distribution Network ◽

Distribution Networks ◽

Information Model ◽

Power Distribution Network ◽

Platform Design ◽

Network Information ◽

Sensing Technology ◽

New Energy

In recent years, large-scale new energy sources have been connected to the power distribution network, and the ubiquitous power IoT sensing technology has developed rapidly. At the same time, the increase in energy consumption has placed higher requirements on the consumption of new energy, which has led to the “Triple-Alls” (All access, All sensing, All consumption) requirements of the distribution network. To this end, this paper conducts a series of studies on the “Triple-Alls” distribution network: First, it analyzes the characteristics and key technologies of the “Triple-Alls” distribution network by comparing with traditional distribution networks, and then establishes energy storage, photovoltaic, and wind power. Information model of “Triple-Alls” distribution network. Then, a platform design scheme meeting the requirements is constructed. Finally, the application functions of “All access”, “All sensing” and “All consumption” in the distribution network are explained in detail.

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A Novel of Fault Localization Method to Determine Fault Distance for Single Line to Ground Fault in the Distribution Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.785.353 ◽

2015 ◽

Vol 785 ◽

pp. 353-357

Author(s):

L.J. Awalin ◽

Hazlie Mokhlis ◽

A.H.A. Bakar ◽

Hazlee Azil Illias

Keyword(s):

Input Data ◽

Large Scale ◽

Fault Location ◽

Distribution Network ◽

Distribution Networks ◽

Voltage Sag ◽

Test Results ◽

Localization Method ◽

Ground Fault ◽

Location Algorithm

In this paper, a novel fault location algorithm in distribution networks based on combination of impedance based method is presented. The voltage sag and current swell from the measurement node are used as input data to estimate the fault distance. To improve the accuracy of the proposed method, the voltage sag and current swell in the un-faulted phase also considered. Test results using a large scale distribution network from Malaysia confirms the accuracy of the proposed method. A comparison is made with the existing method which shows that the proposed method gives more accurate fault distance.

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Smart meters as a key component of modern measuring infrastructure providing observability and state estimation of low-voltage distribution networks

E3S Web of Conferences ◽

10.1051/e3sconf/20186902012 ◽

2018 ◽

Vol 69 ◽

pp. 02012

Author(s):

Yana Kuzkina ◽

Irina Golub

Keyword(s):

State Estimation ◽

Low Voltage ◽

Distribution Network ◽

Distribution Networks ◽

The State ◽

Voltage Distribution ◽

Smart Meters ◽

The Real ◽

Real Distribution

The paper presents a solution to the problem of organization of a system for collecting and transmitting information about measurements from smart meters necessary for the state estimation of a low-voltage distribution network. The problems of providing the sufficiency of measurements for the observability of the network and the influence of errors in the information about load connection to phases on the quality of the observability are considered. The results of allocation of smart meters and the state estimation of the real distribution network are given.

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A Novel Optimization Method for a Multi-Year Planning Scheme of an Active Distribution Network in a Large Planning Zone

Energies ◽

10.3390/en14123450 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3450

Author(s):

Xuejun Zheng ◽

Shaorong Wang ◽

Zia Ullah ◽

Mengmeng Xiao ◽

Chang Ye ◽

...

Keyword(s):

Power Distribution ◽

Large Scale ◽

Distribution Network ◽

Electrical Energy ◽

Distribution Networks ◽

Optimization Method ◽

Scheme Optimization ◽

Optimization Task ◽

Novel Approach ◽

Planning Scheme

Electric power distribution networks plays a significant role in providing continuous electrical energy to different categories of customers. In the context of the present advancements, future load expansion in the active distribution networks (ADNs) poses the key challenge of planning to be derived as a multi-stage optimization task, including the optimal expansion planning scheme optimization (EPSO). The planning scheme optimization is a multi-attribute decision-making issue with high complexity and solving difficulty, especially when it involves a large-scale planning zone. This paper proposes a novel approach of a multi-year planning scheme for the effective solution of the EPSO problem in large planning zones. The proposed approach comprises three key parts, where the first part covers two essential aspects, i.e., (i) suggesting a project condition set that considers the elements directly related to a group of specific conditions and requirements (collectively referred to as conditions) to ADN planning projects; and (ii) Developing a condition scoring system to evaluate planning projects. The second part of our proposed scheme is a quantization method of correlativity among projects based on two new concepts: contribution index (CI) and dependence index (DI). Finally, considering the multi-year rolling optimization, a detailed mathematical model of condition evaluation and spatiotemporal optimization sequencing of ADN planning projects is developed, where the evaluation and optimization are updated annually. The proposed model has been successfully validated on a practical distribution network located in Xiantao, China. The investigated case study and comparisons verify the various advantages, suitability, and effectiveness of the proposed planning scheme, consequently saving more than 10% of the investment compared with the existing implemented scheme.

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