scholarly journals A Review of methodologies for Fault Location Techniques in Distribution Power System

2021 ◽  
Vol 17 (2) ◽  
pp. 27-37
Author(s):  
Ahmed Abbas ◽  
Mazyed Al-Tak
Keyword(s):  
Power Systems ◽  
Power System ◽  
Distribution Systems ◽  
Fault Location ◽  
Comprehensive Evaluation ◽  
Distribution Networks ◽  
Test System ◽  
Lightning Strike ◽  
Location Methods ◽  
The Impact

Since recent societies become more hooked into electricity, a higher level of power supply continuity is required from power systems. The expansion of those systems makes them liable to electrical faults and several failures are raised due to totally different causes, like the lightning strike, power system element failure caused by mechanical aging as well as human mistakes. These conditions impact the stability of the power as well as lead to costly maintenance and loss of output. This article examines the latest technologies and strategies to determine the location of faults in medium voltage distribution systems. The aim is to classify and assess different strategies in order to determine the best recommended models in practice or for further improvement. Several ways to locate failures in distribution networks have therefore been established. Because faults are unpredictable, quick fault location as well as isolating are necessary to reduce the impact of faults in distribution networks as well as removing the emergency condition from the entire system. This study also includes a comprehensive evaluation of several defect location methods depending on the algorithm employed, the input, the test system, the characteristics retrieved, and the degree of complexity. In order to gain further insight into the strengths and limitations of each method and also comparative analysis is carried out. Then the main problems of the fault location methods in distribution network are briefly expounded

scholarly journals Impacts of the Inclusion of Distributed Generation on Congestion of Distribution Networks and in the Islanding Operation Capability

2021 ◽  
Vol 2 (2) ◽  
pp. 15-22
Author(s):  
Jose David Beltrán Gallego ◽  
Leidy Daniela Castro Montilla ◽  
Alexandra Castro Valencia ◽  
Camilo Augusto Giraldo Muñoz ◽  
Dahiana López García
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Support Service ◽  
Transport Systems ◽  
Ancillary Service ◽  
Islanding Operation ◽  
Generation Capacity ◽  
The Impact

The growing demand for electricity in the world has led to power systems having to constantly increase their generation capacity and expand their transmission and distribution systems. Consequently, distributed generation has positioned as a technology able to integrate generation close to consumption centers, freeing up capacity in the transport systems, which can be translated into a deferral of investments in network expansion. Therefore, this paper analyzes the impact of the inclusion of distributed generation in the congestion of a typical distribution network and evaluates the potential of providing the island operation capability ancillary service in a section of the system to identify the possible challenges and benefits that the development of this technical support service could have in typical Colombian distribution networks.

The Impact of Distributed Generators Placements on the Reliability of Typical Industrial Power Distribution System

2015 ◽  
Vol 799-800 ◽  
pp. 1278-1287
Author(s):  
Ibrahim M. Al-Yami
Keyword(s):  
Saudi Arabia ◽  
Power System ◽  
Distribution System ◽  
Human Error ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Power Source ◽  
Power Distribution System ◽  
Industrial Sectors ◽  
The Impact

Electrical Distribution systems that are radially configured with one utility power source are inherently exposed to higher rates of outages and interruptions, due to failures of system components, including: transformers, breakers and switching devices. In addition, fault conditions can also be caused by weather, animals or human error. Historically in Saudi Arabia, many industrial and residential distribution networks suffered from these problems. Large-size, growing demand and cost — with the time requirements for enhancement projects — results in distributed generation (DG) — as online or backup —playing a key role in the residential, commercial and industrial sectors of the power system. In this paper, the value of DG — installed as an online power source for typical industrial distribution network in Saudi Arabia — is quantified by reliability indices that include System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI) and Energy Not Supplied (ENS). The study outcomes will provide power system engineers with the reliability benefits of DG penetration and an approach to assessing its installations, based on different factors such as size and location.

scholarly journals Modeling and Validation of a Directional Overcurrent Relay as an Island Interconnection Device

2020 ◽  
Author(s):  
Wandry R. Faria ◽  
Jonas V. Souza ◽  
Rodrigo B. Otto ◽  
Benvindo R. Pereira Jr.
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Distribution Systems ◽  
Short Circuit ◽  
Electrical Power ◽  
Distribution Networks ◽  
Test System ◽  
Electrical Power Systems ◽  
Distributed Generators ◽  
Overcurrent Relay

The growing number of decentralized generators in the distribution systems and the consequent increase in the penetration level in the networks have prompted the inclusion of this scenario in researches involving the planning of electrical power systems. The planning of protection systems for distribution networks considering distributed generators requires adaptations in the approach due to modifications in characteristics of the network, such as passivity and unidirectional power flow. Furthermore, the insertion of generators in distribution networks allows the implementation of new operation methods, such as the possibility of disconnecting some loads from the main feeder and supplying them through distributed generators. The island operation can improve the service continuity indexes, as well as reduce the costs of non-supplied energy. Although the island operation is widely proposed in the literature as a means to improve the system's reliability, the simulation of a protective device to intentionally island a region and the verification of its limitations is not. In this paper, we present the modeling of a directional overcurrent relay through ATP-EMTP, and its employment as a device for island interconnection, analyzing its zone of non-operation. CIGRE 14-bus test system is used to conduct short-circuit tests with the variation of resistance and type of fault applied. Theresults show the effectiveness of the device, which is able to identify all faults with real impact on the network, placing the region in island operation in less than 20 ms.

scholarly journals Power Hardware in-the-Loop Testing to Analyze Fault Behavior of Smart Inverters in Distribution Networks

2020 ◽  
Vol 12 (22) ◽  
pp. 9365
Author(s):  
Taha Selim Ustun ◽  
Shuichi Sugahara ◽  
Masaichi Suzuki ◽  
Jun Hashimoto ◽  
Kenji Otani
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fault Location ◽  
Reactive Power ◽  
Distribution Networks ◽  
Deep Penetration ◽  
Hardware In The Loop ◽  
Test Results ◽  
Fault Behavior ◽  
Smart Inverters

Deep penetration of distributed generators have created several stability and operation issues for power systems. In order to address these, inverters with advanced capabilities such as frequency and reactive power support the grid. Known also as Smart Inverters (SIs), these devices are highly dynamic and contribute to the power flow in the system. Notwithstanding their benefits, such dynamic devices are new to distribution networks. Power system operators are very reluctant toward such changes as they may cause unknown issues. In order to alleviate these concerns and facilitate SIs integration to the grid, behavior studies are required. To that end, this paper presents a power hardware-in-the-loop test set up and tests that are performed to study fault behavior of SIs connected to distribution networks. The details of the software model, SI integration with the real-time simulator, test results, and their analyses are presented. This experience shows that it is not trivial to connect such novel devices with simulation environments. Adjustments are required on both software and hardware fronts on a case-by-case basis. The encountered integration issues and their solutions are presented herein. The fault behavior of the SI with respect to the fault location is documented. It is observed that for faults that are close to SIs, momentary cessation of generation is observed. This needs to be tackled by device manufacturers as this phenomenon is very detrimental to health of a power system under fault conditions. Extensive PHIL test results show that several factors affect the fault behavior of an SI: fault location and its duration, SI mode of operation as well as extra devices housed in the casing. These results and their in-depth analyses are presented for a thorough understanding of SI behavior under fault conditions.

scholarly journals A Bilevel Attacker-Defender Model for Enhancing Power Systems Resilience with Distributed Generation

2020 ◽  
Vol 25 (4) ◽  
pp. 540-547
Author(s):  
Jesús María López Lezama ◽  
Bonie Johana Restrepo Cuestas ◽  
Juan Pablo Hernández Valencia
Keyword(s):  
Power Systems ◽  
Power System ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Programming Model ◽  
Hybrid Genetic Algorithm ◽  
Load Shedding ◽  
Mixed Integer ◽  
System Operator ◽  
The Impact

Electric transmission and distribution systems are subject not only to natural occurring outages but also to intentional attacks. These lasts performed by malicious agents that aim at maximizing the load shedding of the system. Intentional attacks are counteracted by the reaction of the system operator which deploys strategies to minimize the damage caused by such attacks. This paper presents a bilevel modeling approach for enhancing resilience of power systems with high participation of distributed generation (DG). The model describes the interaction of a disruptive agent that aims at maximizing damage to a power system and the system operator that resorts to different strategies to minimize system damage. The proposed mixed integer nonlinear programming model is solved with a hybrid genetic algorithm. Results are presented on a benchmark power system showing the optimal responses of the system operator for a set of deliberate attacks. It was observed that the higher the participation of DG the lower the impact of the attacks was. The presence of DG also influenced the optimal strategies of the attacker which in some cases deviated from optimal attack plans to suboptimal solutions. This allows concluding that the presence of DG benefits the power system in terms of less expected load shedding under intentional attacks.     

scholarly journals An Effective Bi-Stage Method for Renewable Energy Sources Integration into Unbalanced Distribution Systems Considering Uncertainty

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 471
Author(s):  
Eman S. Ali ◽  
Ragab A. El-Sehiemy ◽  
Adel A. Abou El-Ela ◽  
Karar Mahmoud ◽  
Matti Lehtonen ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimization Problems ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Test System ◽  
Energy Sources ◽  
The Impact

The output generations of renewable energy sources (RES) depend basically on climatic conditions, which are the main reason for their uncertain nature. As a result, the performance and security of distribution systems can be significantly worsened with high RES penetration. To address these issues, an analytical study was carried out by considering different penetration strategies for RES in the radial distribution system. Moreover, a bi-stage procedure was proposed for optimal planning of RES penetration. The first stage was concerned with calculating the optimal RES locations and sites. This stage aimed to minimize the voltage variations in the distribution system. In turn, the second stage was concerned with obtaining the optimal setting of the voltage control devices to improve the voltage profile. The multi-objective cat swarm optimization (MO-CSO) algorithm was proposed to solve the bi-stages optimization problems for enhancing the distribution system performance. Furthermore, the impact of the RES penetration level and their uncertainty on a distribution system voltage were studied. The proposed method was tested on the IEEE 34-bus unbalanced distribution test system, which was analyzed using backward/forward sweep power flow for unbalanced radial distribution systems. The proposed method provided satisfactory results for increasing the penetration level of RES in unbalanced distribution networks.

Optimal fault location for power distribution systems with distributed generations using synchronized measurements

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Wen Fan ◽  
Yuan Liao ◽  
Ning kang
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Fault Location ◽  
Test System ◽  
Power Distribution Systems ◽  
Distributed Generations ◽  
High Penetration ◽  
Maintenance Time ◽  
Phasor Measurements ◽  
Synchronized Measurements

AbstractAccurate fault location in distribution systems greatly shortens maintenance time and improves reliability. This paper presents novel methods to pinpoint fault location and identify possible bad measurements for enhanced accuracy. It is assumed that network parameters and topology of the distribution network are available. The methods are applicable to a single fault as well as simultaneous faults and are applicable to both balanced and unbalanced networks. The methods utilize synchronized voltage and current phasor measurements to locate the fault. The methods are validated by simulation studies using the modified IEEE 34-Node Test System. Case studies have demonstrated that the methods are suitable for distribution systems with high penetration of distributed generations.

scholarly journals Co-Simulation Framework for Optimal Allocation and Power Management of DGs in Power Distribution Networks Based on Computational Intelligence Techniques

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1648
Author(s):  
Marinko Barukčić ◽  
Toni Varga ◽  
Vedrana Jerković Jerković Štil ◽  
Tin Benšić
Keyword(s):  
Power System ◽  
Power Management ◽  
Computational Intelligence ◽  
Input Data ◽  
Optimization Problem ◽  
Optimal Allocation ◽  
Distribution Networks ◽  
Distributed Generations ◽  
Data Resolution ◽  
The Impact

The paper researches the impact of the input data resolution on the solution of optimal allocation and power management of controllable and non-controllable renewable energy sources distributed generation in the distribution power system. Computational intelligence techniques and co-simulation approach are used, aiming at more realistic system modeling and solving the complex optimization problem. The optimization problem considers the optimal allocation of all distributed generations and the optimal power control of controllable distributed generations. The co-simulation setup employs a tool for power system analysis and a metaheuristic optimizer to solve the optimization problem. Three different resolutions of input data (generation and load profiles) are used: hourly, daily, and monthly averages over one year. An artificial neural network is used to estimate the optimal output of controllable distributed generations and thus significantly decrease the dimensionality of the optimization problem. The proposed procedure is applied on a 13 node test feeder proposed by the Institute of Electrical and Electronics Engineers. The obtained results show a huge impact of the input data resolution on the optimal allocation of distributed generations. Applying the proposed approach, the energy losses are decreased by over 50–70% by the optimal allocation and control of distributed generations depending on the tested network.

scholarly journals Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3310 ◽  
Author(s):  
Ignacio Blanco ◽  
Daniela Guericke ◽  
Anders Andersen ◽  
Henrik Madsen
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
District Heating ◽  
Operational Planning ◽  
Solution Approach ◽  
The Impact

In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only provide flexibility to the power system by acting on the electricity market, but also profit from the situation to lower the overall system cost. However, the operational planning and bidding includes several uncertain components at the time of planning: electricity prices as well as heat and power production from RES. In this publication, we propose a planning method based on stochastic programming that supports DH operators by scheduling the production and creating bids for the day-ahead and balancing electricity markets. We apply our solution approach to a real case study in Denmark and perform an extensive analysis of the production and trading behavior of the DH system. The analysis provides insights on system costs, how DH system can provide regulating power, and the impact of RES on the planning.

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