Energy flexibility assessment of a multi agent-based smart home energy system

Abstract

Abstract-Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems. In a smaller scale, a home energy management system would be effective for the both sides of the network. It can reduce the electricity costs of the demand side, and it can assist to relieve the grid congestion in peak times. This paper represents a domestic energy management system as part of a multi-agent system that models the smart home energy system. Our proposed system consists of energy management and predictor systems. This way, homes are able to transact with the local electricity market according to the energy flexibility that is provided by the electric vehicle, and it can manage produced electrical energy of the photovoltaic system inside of the home.

Residential Demand Response Strategies and Applications in Active Distribution Network Management

“…A review of the applications of MAS in managing smart grids [184] showed the benefits of this decentralized approach in reducing cost, enhancing customer welfare and in providing a framework to maximize integration of low carbon technologies. However, the proposed MAS frameworks in the literature are limited in terms of scalability [139,134], adoptability [185] , the number of manageable network constraints [153,168,186], DR scenarios [14,35,38] and types of agents [187,188].…”

RETRACTED CHAPTER: An Agent-Based Model for Energy Management of Smart Home: Residences’ Satisfaction Approach

“…In this work, we present the multi agent-based structure for BEMS. There are several works that implement agents in the BEMS but none of does not consider a manner to consider residents' comfort in the BEMS [3][4][5][6][7][8]. Readers can refer to to know more about multi-agent systems.…”

Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level

“…If the SCADA system is equipped with the MAS, various types of optimization algorithms could be solved and utilized by the model in order to control and manage the resources controlled by the SCADA system [9]. Agent-based SCADA models provide more flexibility and adaptability [10].…”