Optimal Network Configuration of FRIENDS Taking Power Supply Reliability into Account

2005 ◽  
Vol 125 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Koichi Nara ◽  
Taiji Satoh ◽  
Yuji Mishima
Keyword(s):  
Power Supply ◽  
Network Configuration ◽  
Optimal Network ◽  
Supply Reliability

Optimal network configuration of FRIENDS taking power supply reliability into account

2006 ◽  
Vol 156 (3) ◽  
pp. 32-40
Author(s):  
Koichi Nara ◽  
Taiji Satoh ◽  
Yuji Mishima
Keyword(s):  
Power Supply ◽  
Network Configuration ◽  
Optimal Network ◽  
Supply Reliability

Adjusting Electricity Cost Depending on Power Supply Outages

2020 ◽  
Vol 67 (2) ◽  
pp. 44-50
Author(s):  
Vadim E. Bolshev ◽  
Aleksandr V. Vinogradov ◽  
Alina V. Vinogradova ◽  
Aleksey V. Bukreev ◽  
Aleksandr A. Lansberg
Keyword(s):  
Power Quality ◽  
Power Supply ◽  
Power Supply System ◽  
Economic Incentive ◽  
Supply System ◽  
Research Purpose ◽  
Electricity Cost ◽  
Economic Method ◽  
Urgent Task ◽  
Supply Reliability

During the functioning of power supply system, there can be situations where the culprit in interruptions of power supply to consumers and a power quality violation is a power supply company or a consumer himself. Therefore, the economic incentive for power supply companies and consumers to increase power supply reliability and power quality is an urgent task. To implement such incentives, it is necessary to control the facts and time of power supply outages and their values as well as cases and time of non-compliance of power quality with the requirements of standards. It is possible with the use of a monitoring system for power supply reliability and power quality. (Research purpose) The research purpose is in developing a technical and economic method for stimulating power supply companies and consumers to increase efficiency of power supply system. (Materials and methods) The article provides a review of the structural diagram of a system for monitoring power supply reliability and power quality including devices for monitoring the number and duration of power outages and voltage deviations. (Results and discussion). An economic method has been developed to stimulate power supply companies and consumers to increase power supply system efficiency. The essence of the method is to control the parameters of power supply reliability and power quality, identify the violation of these parameters, determine the culprit of the violation, determine the time characteristics of the violation, summarize the duration of violations for the reporting period, compare the actual amount of duration with the allowable one, determine the amount of compensation for the violation and impose sanctions on payment compensation by the perpetrators of violations of these parameters. The article presents an algorithm for adjusting the cost of electricity supplied to consumers depending on the number and duration of voltage deviations and the number and duration of outages. The algorithm serves to ensure the operation of the specified technical and economic method. (Conclusions) The algorithm works in conjunction with a system for monitoring power supply reliability and power quality based on signals from devices that control the number and duration of outages and voltage deviations.

Quantitative evaluation method of power supply reliability considering voltage sag

2021 ◽  
Vol 675 (1) ◽  
pp. 012121
Author(s):  
Pei Du ◽  
Yan Lin ◽  
Weijun Zhang ◽  
Zhixuan Liu ◽  
Fang Lin ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Power Supply ◽  
Evaluation Method ◽  
Voltage Sag ◽  
Supply Reliability

scholarly journals Maintaining a Predefined Power Supply Reliability Level at Minimized System Fuel Costs

1997 ◽  
Vol 30 (17) ◽  
pp. 91-96
Author(s):  
F. Hoese ◽  
X. Lei ◽  
E. Lerch ◽  
H. Kuerten
Keyword(s):  
Power Supply ◽  
Reliability Level ◽  
Fuel Costs ◽  
Supply Reliability

Configuring a seismographic network for optimal monitoring of fault lines and multiple sources

1995 ◽  
Vol 85 (6) ◽  
pp. 1847-1857
Author(s):  
David M. Steinberg ◽  
Nitzan Rabinowitz ◽  
Yair Shimshoni ◽  
Daphna Mizrachi
Keyword(s):  
Statistical Theory ◽  
Experimental Design ◽  
Point Source ◽  
High Precision ◽  
Optimality Criterion ◽  
Network Configuration ◽  
Multiple Sources ◽  
Optimal Monitoring ◽  
Optimal Network ◽  
Seismographic Network

Abstract The geometric configuration of a seismographic network has important consequences for the ability to determine hypocenters with high precision. We present a method for optimal configuration when the network must monitor a system of faults. Our optimality criterion is drawn from the statistical theory of experimental design and can be effeciently maximized using an extension of the DETMAX algorithm. Our work generalizes that of Rabinowitz and Steinberg (1990), which treated the problem of optimal network configuration for monitoring a point source.

Identification and Analysis of Key Equipment for Power Supply Reliability of Distribution Network based on ETAP

2021 ◽  
Author(s):  
Jianna Ouyang ◽  
Shuo Liang ◽  
Shaonan Chen ◽  
Shan Li ◽  
Yangjun Zhou ◽  
...  
Keyword(s):  
Power Supply ◽  
Distribution Network ◽  
Supply Reliability

scholarly journals A Hybrid Evolutionary Approach to Design Off-Grid Electrification Projects with Distributed Generation

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
J. Avilés ◽  
J. C. Mayo-Maldonado ◽  
O. Micheloud
Keyword(s):  
Distributed Generation ◽  
Network Topology ◽  
Optimization Technique ◽  
Optimal Number ◽  
Optimal Placement ◽  
Evolutionary Approach ◽  
Power Losses ◽  
Network Configuration ◽  
Optimal Network ◽  
Particle Swarm Optimization Technique

A hybrid evolutionary approach is proposed to design off-grid electrification projects that require distributed generation (DG). The design of this type of systems can be considered as an NP-Hard combinatorial optimization problem; therefore, due to its complexity, the approach tackles the problem from two fronts: optimal network configuration and optimal placement of DG. The hybrid scheme is based on a particle swarm optimization technique (PSO) and a genetic algorithm (GA) improved with a heuristic mutation operator. The GA-PSO scheme permits finding the optimal network topology, the optimal number, and capacity of the generation units, as well as their best location. Furthermore, the algorithm must design the system under power quality requirements, network radiality, and geographical constraints. The approach uses GPS coordinates as input data and develops a network topology from scratch, driven by overall costs and power losses minimization. Finally, the proposed algorithm is described in detail and real applications are discussed, from which satisfactory results were obtained.

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