An improved energy management method based on combination of multi agent system and fuzzy logic

2020 ◽  
Vol 92 (3) ◽  
pp. 30902
Author(s):  
Basma Aoukach ◽  
Benyounes Oukarfi
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Multi Agent System ◽  
Energy Management Strategy ◽  
Agent System ◽  
Photovoltaic Panel ◽  
Distributed Energy Management ◽  
Multi Agent

This paper presents a distributed energy management strategy based on a combination of multi agent system (MAS) and fuzzy logic (FL). Our system is composed of two renewable energy sources which are a photovoltaic panel, wind turbine, storage system and a variable loads. These elements are linked between them through switches. This improved technique allows the control of switches to manage the energy flow between sources and established load priority. MAS consider each element of the system as an agent, one of them is called execution agent that controls switches based on the paradigm of fuzzy logic (FL). The results of this approach are presented, discussed then followed by a simulation.

A Multi-Agent Control for Energy Management in PV/Wind/Fuel Cell/Battery Hybrid Power System

2014 ◽  
Vol 573 ◽  
pp. 235-241
Author(s):  
T. Bogaraj ◽  
J. Kanakaraj ◽  
C. Maria Jenisha
Keyword(s):  
Renewable Energy ◽  
Fuel Cell ◽  
Power System ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Multi Agent System ◽  
Agent System ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Multi Agent

The usage of renewable energy systems increases worldwide due to extinction of conventional sources and also the absence of some serious environmental effects such as global warming, ozone layer depletion etc. These renewable power systems are not able to satisfy the load continuously due to seasonal availability of the resources. A Hybrid Power System (HPS) formed with renewable energy sources are a solution to provide power for stand-alone electrical loads. However, the energy management in HPS is quite complex as it relies on a central controller. This paper proposes a distributed Energy Management System (EMS) to control the energy flow in the PV/Wind/Fuel Cell/Battery HPS based on multi-agent system (MAS) technology. With this concept, a HPS is seen as a collection of different elements called agents, collaborates to reach a global coordination to satisfy the demand in the system. The Algorithm of the Multi-Agent System technique for HPS has been implemented using MATLAB/Simulink environment. The results show that the algorithm is effectively working for a HPS to provide power to the load and control power flow between various elements of the system.

Fuzzy-Based Multi-Agent System for Distributed Energy Management in Smart Grids

2016 ◽  
Vol 24 (05) ◽  
pp. 781-803 ◽  
Author(s):  
Bharat Menon Radhakrishnan ◽  
Dipti Srinivasan ◽  
Rahul Mehta
Keyword(s):  
Energy Management ◽  
Smart Grids ◽  
Test System ◽  
Small Scale ◽  
Multi Agent System ◽  
Distributed Energy ◽  
Agent System ◽  
Renewable Sources ◽  
Distributed Energy Management ◽  
Multi Agent

Energy Management Systems have become an imperative aspect of smart grids, owing to the enormous challenges imposed due to real-time pricing, distributed generation and integration of intermittent renewables. Due to the uncertainty associated with renewable sources and prominent fluctuations in the load demand, it is extremely important to maintain the overall energy balance in such grids. In this paper, the distributed energy management is achieved using a Multi-agent System which provides a flexible and reliable solution to control and manage smart grids. Adaptive fuzzy systems are designed to instill intelligent decision making capability in the agents of multi-agent system. When renewable sources are inadequate, the sustainability of the system is not guaranteed and multi-agent system is capable of deciding the mode of operation such that the system reliability and performance is not compromised. The proposed algorithm maintains power balance in the system and also sustains desired values for the State of Charge of storage units in order to guarantee extended battery life. The Energy management system also implements a cost optimization algorithm based on the Particle Swarm Optimization technique, to minimize operating costs and maximize profits earned by the grid. The proposed energy management algorithm is tested and validated on a practical test system which inherits most of the features of a small-scale smart grid.

scholarly journals Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System

2020 ◽  
Vol 9 (3) ◽  
pp. 780-783
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management Strategy ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Wind System ◽  
Energy Management Strategy ◽  
Point Tracking ◽  
Fuzzy Logic Approach ◽  
Power Point

The paper proposes a fuzzy logic based energy management strategy for isolated hybrid PV-Wind system. This PV-Wind system comprises of 500 W photovoltaic (PV) systems and 600 W permanent magnet based alternator for conversion of wind energy. A step down converter is connected to the system in order to charge the 48V battery electric storage system (BESS). The load of 1 kW system is supplied with the 1.1 kW hybrid systems. The renewable energy sources are intermittent in nature and hence BESS system is used to support the load when there is shortage of energy generated. To optimize the output voltage of the fuzzy logic approach based maximum power point tracking (MPPT) method is employed which is also utilized for the energy management strategy. The proposed topology is modeled and simulated using mathworks tool MATLAB/Simulink and its performance is evaluated.

Implementation of an energy management algorithm in DC MGs using multi‐agent system

2018 ◽  
Vol 29 (4) ◽  
pp. e2790 ◽  
Author(s):  
Emad G. Shehata ◽  
Maged S. Gaber ◽  
Khalil Ali Ahmed ◽  
Gerges M. Salama
Keyword(s):  
Energy Management ◽  
Multi Agent System ◽  
Agent System ◽  
Management Algorithm ◽  
Multi Agent

Renewable Energy Management with a Multi-Agent System

2015 ◽  
Vol 4 (3) ◽  
pp. 49-59
Author(s):  
Wahiba Ben Abdessalem ◽  
Sami Karaa ◽  
Amira S. Ashour
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Energy Generation ◽  
Multi Agent System ◽  
Renewable Electricity ◽  
Agent System ◽  
World Energy ◽  
Multi Agent ◽  
Electric Generation ◽  
Renewable Energy Generation

Renewable energy generation (Wind, solar …) is rising rapidly around the world. Energy storage is being today realistic with some kind of variable renewable electricity sources such as the Pumped Hydraulic Storage (PHS). The incorporation of the PHS requires different policies since there are a variety of electric generation technologies that can be exploited commonly with the PHS. The energy management system, the scheduling of the generation units is a crucial problem for which adequate solutions can optimize the energy supply. This paper focuses on the applicability of the PHS technology in the development of renewable energy generation in Tunisia. This paper proposes also a multi agent system that can be implemented to simulate the exploitation of the PHS, commonly with other energy sources: conventional energy, wind energy, photovoltaic energy etc.

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