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.

scholarly journals An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3655 ◽  
Author(s):  
Aryuanto Soetedjo ◽  
Yusuf Ismail Nakhoda ◽  
Choirul Saleh
Keyword(s):  
Energy Management ◽  
Management System ◽  
Fuzzy Logic Controller ◽  
Optimization Technique ◽  
Building Energy ◽  
Energy Management System ◽  
Multi Agent System ◽  
Agent System ◽  
Building Energy Management ◽  
Multi Agent

This paper presents a hardware testbed for testing the building energy management system (BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user comfort while minimizing the energy extracted from the grid. The proposed system implements a multi-objective optimization technique using a genetic algorithm (GA) and the fuzzy logic controller (FLC) to control the room temperature and illumination setpoints. The agents are implemented on the low cost embedded systems equipped with the WiFi communication for communicating between the agents. The photovoltaic (PV)-battery system, the air conditioning system, the lighting system, and the electrical loads are modeled and simulated on the embedded hardware. The popular communication protocols such as Message Queuing Telemetry Transport (MQTT) and Modbus TCP/IP are adopted for integrating the proposed MAS with the existing infrastructures and devices. The experimental results show that the sampling time of the proposed system is 16.50 s. Therefore it is suitable for implementing the BEMS in a real-time where the data are updated in an hourly or minutely basis. Further, the proposed optimization technique shows better results in optimizing the comfort index and the energy extracted from the grid compared to the existing methods.

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