scholarly journals Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling

2021 ◽  
Vol 11 (6) ◽  
pp. 2604
Author(s):  
Constâncio António Pinto ◽  
José Torres Farinha ◽  
Sarbjeet Singh ◽  
Hugo Raposo
Keyword(s):  
Power System ◽  
Petri Nets ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Electric Power System ◽  
Electrical Power System ◽  
Inference System ◽  
Reliable Design ◽  
Generator Sets

The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator sets, the Automatic Transfer Switches (ATS), and the Uninterrupted Power Supply (UPS), which are analysed to characterize the system behaviour. To evaluate the system and identified the lower reliability modules being proposed, a new reliable design model through the Petri Nets and Fuzzy Inference System approach. The resulting approach contributes to increasing the reliability of complex electrical systems, aiming to reduce their faults and increase their availability.

scholarly journals Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3110
Author(s):  
Konstantinos V. Blazakis ◽  
Theodoros N. Kapetanakis ◽  
George S. Stavrakakis
Keyword(s):  
Artificial Intelligence ◽  
Electric Power ◽  
Power Distribution ◽  
Fuzzy Inference System ◽  
Distribution System ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Electrical Power System ◽  
Inference System ◽  
Neuro Fuzzy

Electric power grids are a crucial infrastructure for the proper operation of any country and must be preserved from various threats. Detection of illegal electricity power consumption is a crucial issue for distribution system operators (DSOs). Minimizing non-technical losses is a challenging task for the smooth operation of electrical power system in order to increase electricity provider’s and nation’s revenue and to enhance the reliability of electrical power grid. The widespread popularity of smart meters enables a large volume of electricity consumption data to be collected and new artificial intelligence technologies could be applied to take advantage of these data to solve the problem of power theft more efficiently. In this study, a robust artificial intelligence algorithm adaptive neuro fuzzy inference system (ANFIS)—with many applications in many various areas—is presented in brief and applied to achieve more effective detection of electric power theft. To the best of our knowledge, there are no studies yet that involve the application of ANFIS for the detection of power theft. The proposed technique is shown that if applied properly it could achieve very high success rates in various cases of fraudulent activities originating from unauthorized energy usage.

scholarly journals Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

2021 ◽  
Vol 11 (5) ◽  
pp. 3757
Author(s):  
Siraj Manhal Hameed ◽  
Hayder Khaleel AL-Qaysi ◽  
Ali Sachit Kaittan ◽  
Mohammed Hasan Ali
Keyword(s):  
Fuzzy Inference System ◽  
Distribution System ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Estimation Method ◽  
Load Estimation ◽  
Electrical Load ◽  
Electrical Power System ◽  
Inference System ◽  
Electrical Generation

The evaluation of electrical load estimation is requisitely of any electrical power system. This manner is needed for system obligation, economical distribution and maintenance time of electrical system. In this paper, we propose electrical load estimation method based on fuzzy inference system which gives accurate results for estimated loads in Iraq (Diyala governorateBaaquba city). And it can assist the electrical generation and distribution system that depends on important parameters (temperature, humidity and the speed of the wind). By considering the parameters temperature, humidity and the speed of the wind. These parameters are applied as inputs to the fuzzy logic control system to obtain the normalize estimated load as output by electing membership functions. It is exceptionally valuable to form a choice by taking into consideration these assessed readings that come to from the proposed FIS that displayed in this paper with precision of 0.969 from the real stack request.

scholarly journals Contributions of Petri Nets to the Reliability and Availability of an Electrical Power System in a Big European Hospital - A Case Study

2021 ◽  
Vol 16 ◽  
pp. 21-42
Author(s):  
Constâncio António Pinto ◽  
José Torres Farinha ◽  
Sarbjeet Singh
Keyword(s):  
Power System ◽  
Petri Nets ◽  
Power Supply ◽  
Block Diagram ◽  
Electrical Power ◽  
Dynamic Modelling ◽  
Electric Power System ◽  
Stochastic Petri Nets ◽  
Electrical Power System

The energy power supply infrastructure of a hospital, to function correctly, needs to be well maintained to ensure its reliability and, by consequence, the maximum integrated availability. In this paper, the authors propose the use of Petri Nets to help the improvement of the electric power system reliability, having as a case study a big European Hospital. The purpose of the research is to identify and analyse the potential failures of the system and to suggest solutions to improve the operations and maintenance to maximise the availability and reliability of those assets through possible and objective answers. It was necessary to develop a diagnosis and planning methodology to assess the reliability of several components of the energy power supply system. It is dynamic modelling based on a block diagram of the system and transposed to representation by Petri Nets. The analysis and the simulation of the discrete events of the system, as well as the visualisation of the process functioning and the communications inside, was made. Additionally, they were referred to other approaches, like the Fuzzy Petri Nets and Stochastic Petri Nets, as well as a future balance about its application in a situation like the analysed in this paper

scholarly journals A System-Level Failure Propagation Detectability Using ANFIS for an Aircraft Electrical Power System

2020 ◽  
Vol 10 (8) ◽  
pp. 2854 ◽  
Author(s):  
Cordelia Mattuvarkuzhali Ezhilarasu ◽  
Ian K Jennions
Keyword(s):  
Power System ◽  
Causal Reasoning ◽  
Fuzzy Inference ◽  
Electrical Power ◽  
Diagnostic Algorithm ◽  
System Level ◽  
Misclassification Rate ◽  
Monitoring Methods ◽  
Electrical Power System ◽  
Inference System

The Electrical Power System (EPS) in an aircraft is designed to interact extensively with other systems. With a growing trend towards more electric aircraft, the complexity of interactions between the EPS and other systems has grown. This has resulted in an increased necessity of implementing health monitoring methods like diagnosis and prognosis of the EPS at the systems level. This paper focuses on developing a diagnostic algorithm for the EPS to detect and isolate faults and their root causes that occur at the Line Replaceable Units (LRUs) connecting with aircraft systems like the engine and the fuel system. This paper aims to achieve this in two steps: (i) developing an EPS digital twin and presenting the simulation results for both healthy and fault scenarios, (ii) developing an Adaptive Neuro-Fuzzy Inference System (ANFIS) monitor to detect faults in the EPS. The results from the ANFIS monitor are processed in two methods: (i) a crisp boundary approach, and (ii) a fuzzy boundary approach. The former approach has a poor misclassification rate; hence the latter method is chosen to combine with causal reasoning for isolating root causes of these interacting faults. The results from both these methods are presented through examples in this paper.

BASIN CONFIGURATION OF A SIX-DIMENSIONAL MODEL OF AN ELECTRIC POWER SYSTEM

2002 ◽  
Vol 12 (06) ◽  
pp. 1333-1356 ◽  
Author(s):  
YOSHISUKE UEDA ◽  
HIROYUKI AMANO ◽  
RALPH H. ABRAHAM ◽  
H. BRUCE STEWART
Keyword(s):  
Power Systems ◽  
Power System ◽  
Initial Conditions ◽  
Electrical Power ◽  
Practical Importance ◽  
Intervention Strategy ◽  
Basins Of Attraction ◽  
Electric Power System ◽  
Point Of View ◽  
Electrical Power System

As part of an ongoing project on the stability of massively complex electrical power systems, we discuss the global geometric structure of contacts among the basins of attraction of a six-dimensional dynamical system. This system represents a simple model of an electrical power system involving three machines and an infinite bus. Apart from the possible occurrence of attractors representing pathological states, the contacts between the basins have a practical importance, from the point of view of the operation of a real electrical power system. With the aid of a global map of basins, one could hope to design an intervention strategy to boot the power system back into its normal state. Our method involves taking two-dimensional sections of the six-dimensional state space, and then determining the basins directly by numerical simulation from a dense grid of initial conditions. The relations among all the basins are given for a specific numerical example, that is, choosing particular values for the parameters in our model.

scholarly journals Enhancement of Power System Oscillation Damping using Fuzzy Inference System based Coordinated Design of SSSC Controllers

2016 ◽  
Vol 9 (17) ◽  
Author(s):  
Reza Sharifi ◽  
Reza Khamooshi ◽  
Hamid Radmanesh ◽  
G. B. Gharehpetian ◽  
Seyyed Hamid Fathi ◽  
...  
Keyword(s):  
Power System ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Oscillation Damping

Integration of battery storage into the German electrical power system

2017 ◽  
Vol 59 (1) ◽  
Author(s):  
David Steber
Keyword(s):  
Power System ◽  
Electric Power ◽  
Electrical Power ◽  
Electric Power System ◽  
Control Algorithms ◽  
Battery Storage ◽  
Electrical Power System ◽  
Development Scenarios ◽  
First Results ◽  
Storage Technologies

AbstractThe further integration of storage into the electric power system is unavoidable regarding the still increasing share of renewables and current market developments. Therefore a lot of different storage technologies are available today. The presented PhD-Thesis project will focus on integrating battery storage to the power system under different system and market conditions. Therefore, coupled control algorithms for single and virtual battery storage systems have to be developed depending on the battery's scope. For analyzing the reliability of different battery's scopes, the developed models will be integrated into an electric power system model for studying their influence on the power system and market concerning different development scenarios (renewables, nuclear phase-out). First actions dealt with the provision of Frequency Containment Reserve (FCR) power by a virtual battery storage under certain conditions in Germany. First results show appropriate working of implemented control algorithms and reliability for different shareholders.

scholarly journals RANCANG BANGUN SIMULASI DISPLAY ARUS GANGGUAN RELAI PROTEKSI SEL 551 DI MASTER STATION PADA SCADA SURVALENT SEBAGAI UPAYA MEMPERBAIKI SAIDI

2015 ◽  
Vol 18 (2) ◽  
Author(s):  
Dzulfikar Muhammad Azhar ◽  
Yuniarto Yuniarto
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Fault Location ◽  
Electrical Power ◽  
Electric Power System ◽  
Fault Current ◽  
Electrical Power System ◽  
Control Center ◽  
Current Value ◽  
Master Station

Dzulfikar Muhammad Azhar, Yuniarto, in this paper explian that disruption of the power distribution network of 20 KV greatly influence the level of reliability of electric power system. Localize interference by means of network down one by one causing a long recovery time. As a result, SAIDI relatively high value. Protection Relays 551 SEL has a feature that can save the nominal fault current value last received. The value stored in the relay memory. Value of fault current can be processed into the distance nuisance. Thus, the fault current value can help officers to track the fault location based on distance. SCADA as a system that monitors and controls the electrical power system equipment remotely in real time on duty to display the current value of disturbance located at 551 SEL protection relays to be sent to the Control Center or the Master Station. Keywords : SCADA, fault current, relay protection 551 SEL

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