Fuzzy Logic based Management System for a Microgrid in Islanded Mode

2021 ◽  
Author(s):  
V. Vedic Sriram ◽  
V. Kamesh Bharadwaj ◽  
V. Dileep Kumar ◽  
S. Syama
Keyword(s):  
Fuzzy Logic ◽  
Management System ◽  
Islanded Mode

scholarly journals USE OF THE URBAN LOGIC THEORY WITH DEVELOPMENT PROJECTS MANAGEMENT

2018 ◽  
pp. 119-126
Author(s):  
Evgen Yuriiovych Sakhno ◽  
Nataliia Viktorivna Moroz ◽  
Serhii Ivanovych Ponomarenko
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Management System ◽  
Enterprise Management ◽  
Neural Network Modeling ◽  
Development Projects ◽  
Economic Knowledge ◽  
Source Information ◽  
Modern Approach ◽  
Enterprise Management System

Urgency of the research. The study of the methods of economic and financial evaluation of the effectiveness of development projects is an underdeveloped area of economic knowledge, due to the impossibility of predicting the obstacles associated with investments in the future, and the implementation of such projects is most often associated with risk and uncertainty. Target setting. Therefore, in this case, it is proposed to use fuzzy logic theory, which defines a modern approach to describe business processes that present uncertainty and inaccuracy of the source information. Actual scientific researches and issues analysis. The question of using the theory of fuzzy logic in the management of development projects is highlighted in the scholarly works of Ukrainian and foreign scholars such as Asai K, Borisov A. N., Gordienko I. V., Semenenko M. V., Mityushkin Yu. I., Mokin B. I. and others. Uninvestigated parts of general matters defining. Known studies have shown that classical control methods work quite effectively at fully deterministic control objects and environments, and for systems with incomplete information and high complexity, fuzzy analysis methods that are optimal to be adapted to a modern project management system for constructing an integrated neural network are optimal. The research objective. The task is to use the fuzzy models to move on to the development of modern management technology with the use of artificial neural networks to integrate the enterprise management system and development projects. The statement of basic materials. The transition from traditional control systems to systems with fuzzy logic occurs using fuzzy variables. Let's consider the process of neural network modeling in the integration of enterprise management systems and development projects for the construction of a single integrated enterprise management system. Conclusion. In this paper we propose a methodology for the implementation of investment projects for the implementation of information systems based on fuzzy-plural approach, which allows to take into account qualitative aspects that do not have an exact numerical evaluation.

scholarly journals Energy Management System Connected for Microgrid using Fuzzy Logic Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2522-2527
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management System ◽  
Power Sharing ◽  
Control Procedure ◽  
Energy Management System ◽  
Energy Control ◽  
Fuzzy Logic Algorithm ◽  
Points Of Interest ◽  
Suggested Technique

In this paper, energy control procedure is designed for the lattice associated combined energy stockpiling with the cell and the supercapacitor under various working ways. The primary points of interest in the recommended EMS are efficacious power sharing among the different energy stockpiling system. The viability of the suggested technique are supported by both simulation and trail studies.

Fuzzy Logic-based Battery Management System for Solar-Powered Li-Ion Battery in Electric Vehicle Applications

2020 ◽  
pp. 2150043
Author(s):  
P. Justin Raj ◽  
V. Vasan Prabhu ◽  
K. Premkumar
Keyword(s):  
Fuzzy Logic ◽  
Management System ◽  
Lithium Ion ◽  
Battery Management System ◽  
Solar Photovoltaic ◽  
Battery Management ◽  
Solar Pv ◽  
Battery System ◽  
Flyback Converter ◽  
Solar Powered

This paper presents the solar powered charging control of lithium-ion battery. The flyback converter is used to extract the maximum power from the solar photovoltaic (PV) array and charge the battery. This paper also presents the fuzzy logic-based battery management system to protect the batteries due to overcharging and over-discharging conditions. The proposed method is designed and developed in the MATLAB/Simulink platform. Solar PV powered battery system is tested for step change in irradiance conditions and corresponding results are measured and analyzed. The effectiveness of the fuzzy logic-based battery management system is also presented. The simulation model for BMS technique has overall efficiency of 95.1%. In order to verify the effectiveness of the proposed system, experimental verification of the proposed method is implemented in real time and compared with simulation results.

scholarly journals Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1074 ◽  
Author(s):  
Francisco José Vivas ◽  
Francisca Segura ◽  
José Manuel Andújar ◽  
Adriana Palacio ◽  
Jaime Luis Saenz ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Hydrogen Energy ◽  
Economic Point ◽  
Load Demand

This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

scholarly journals Sustainable Environmental Management System Integration and Business Performance: A Balance Assessment Approach Using Fuzzy Logic

2019 ◽  
Vol 11 (19) ◽  
pp. 5311 ◽  
Author(s):  
Ionut Viorel Herghiligiu ◽  
Ioan-Bogdan Robu ◽  
Marius Pislaru ◽  
Adrian Vilcu ◽  
Anca Laura Asandului ◽  
...  
Keyword(s):  
Environmental Management ◽  
Fuzzy Logic ◽  
System Integration ◽  
Management System ◽  
Business Performance ◽  
Stock Exchange ◽  
Principal Component ◽  
Environmental Management System ◽  
Iso 14001 ◽  
Management Tools

Companies constantly thrive to enhance their performance in order to achieve their environmental, social, and economic goals. One way to achieve these goals is to integrate some effective management tools, such as an environmental management system (EMS), that can support sustainable development and value creation. Based on the literature, in this study some EMS integration dimensions were identified that can be used to assess its influence on business performance. The study was conducted on SMEs listed on the AeRO-Bucharest Stock Exchange that voluntary apply the ISO 14001 EMS, using a quantitative approach. To assess the EMS integration score, principal component analysis was used. Using logistic regression analysis, business performance probability (quantified by return on assets) was estimated for each company included in the final sample. Fuzzy logic was further used for modelling the influence of EMS integration on business performance probability. The research results showed that EMS integration has different effects on business performance probability, considering the influence of activity field and environmental management experience. This research assertion could be extended for all the listed Romanian companies or for major companies at the EU level.

Sign in / Sign up

Export Citation Format

Share Document