Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids
TL;DR: A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents that can assess the impact of demand response programs.
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Abstract: A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents. The proposed system can assess the impact of demand response programs.
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Figures
Figure 3. Six hours of energy consumption for agent 26: (a) energy price and (b) consumption. The optimization process lets the agent control the consumer’s consumption so that it doesn’t exceed the established limit. 
Figure 1. Architecture of communication between agents. The Multi-Agent Smart Grid simulation Platform (MASGriP) interacts with the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM). In this way, it’s possible to model the power system operation in the competitive electricity market context, including small and large generation and consumption players’ behavior. 
Table 1. Agent participation parameters using the RTDRP.
Citations
Tendencies of Technologies and Platforms in Smart Cities: A State-of-the-Art Review
TL;DR: A comprehensive analysis of the concept and existing platforms of Smart Cities is performed and a clear understanding of the services that a Smart City must provide, the technology it should employ for the development of these services, and the scope that this concept covers is gained.
A Novel Demand Response Model with an Application for a Virtual Power Plant
Ashot Mnatsakanyan,Scott Kennedy +1 more
TL;DR: This paper's proposed DR model incorporates a fair billing mechanism that is enhanced with an ex post consumer performance tracking scheme implemented in a context of a virtual power plant aggregating load and generation units.
203
Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review
Alfonso González-Briones,Fernando De la Prieta,Mohd Saberi Mohamad,Sigeru Omatu,Juan M. Corchado +4 more
TL;DR: It is argued that researchers in the field of energy optimization should use multi-agent systems at those junctures where it is necessary to model energy efficiency solutions that involve a wide range of factors, as well as context independence that they can achieve through the addition of new agents or agent organizations, enabling the development of energy-efficient solutions for smart cities and intelligent buildings.
153
HEMSs and enabled demand response in electricity market: An overview
TL;DR: In this article, a review of HEMS and enabled demand response (DR) programs in various scenarios as well as incorporating various DR architectures and models employed in the smart grid is presented.
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Futuristic Sustainable Energy Management in Smart Environments: A Review of Peak Load Shaving and Demand Response Strategies, Challenges, and Opportunities
TL;DR: In this article, a review aggregates energy management approaches in smart environments and extensively reviews a variety of recent literature reports on peak load shaving and demand response, highlighting the benefits and challenges of these energy management strategies.
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References
MASCEM: Electricity Markets Simulation with Strategic Agents
TL;DR: A new methodology integrated in MASCEM for bid definition in electricity markets is proposed, which uses reinforcement learning algorithms to let players perceive changes in the environment, thus helping them react to the dynamic environment and adapt their bids accordingly.
Demand Response Management in Power Systems Using Particle Swarm Optimization
TL;DR: Price-based demand response is applied to electric power systems to enable load reduction and demand elasticity and consumer response enables load reduction.
A review on aggregation approaches of controllable distributed energy units in electrical power systems
Martin Braun,Philipp Strauss +1 more
- 01 Jan 2008
TL;DR: In this paper, different aggregation approaches can be applied for the integration of distributed energy resources and loads in electrical power systems, and a set of terms that allow a clear differentiation of aggregation approaches are defined.
90
Genetic algorithm methodology applied to intelligent house control
Filipe Fernandes,Tiago Sousa,Marco Silva,Hugo Morais,Zita Vale,Pedro Faria +5 more
- 11 Apr 2011
TL;DR: This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors and is compared with a mixed integer non-linear approach.
52
Multi-agent electricity market simulation with dynamic strategies & virtual power producers
Isabel Praça,Hugo Morais,Carlos Ramos,Zita Vale,H.M. Khodr +4 more
- 20 Jul 2008
TL;DR: In this paper, the authors propose MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as Virtual Power Producer (VPP).
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