Multi Agent System Framework For Demand Response Management In Distribution Networks
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Multi Agent System Framework For Demand Response Management In Distribution Networks
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Author : Sima Davarzani
language : en
Publisher:
Release Date : 2018
Multi Agent System Framework For Demand Response Management In Distribution Networks written by Sima Davarzani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Optimal Residential Demand Response Under Dynamic Pricing In A Multi Agent Framework
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Author : Zhanle Wang
language : en
Publisher:
Release Date : 2015
Optimal Residential Demand Response Under Dynamic Pricing In A Multi Agent Framework written by Zhanle Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Demand response (DR) is a recent effort to improve efficiency of the electricity market and the stability of the power system. A successful DR implementation relies on both appropriate policy design and enabling technology. Real-time pricing (RTP) and time of use (TOU) have been identified as two important DR policies to motivate residential customers to participate in DR programs. An efficient residential DR model should implement heterogeneous residential load forecasting, multi-criteria optimization (e.g., objectives for individual homes, utilities and aggregations of them) and intelligent distributed algorithms to evaluate the complex and large-scale power systems. This thesis presents a multi-agent system (MAS) to evaluate optimal residential DR implementation in a distribution network, in which the main stakeholders are modeled by heterogeneous home agents (HA) and a retailer agent (RA). A heterogeneous load prediction model, a real-time electricity price model and three optimal load control models are developed to associate with the MAS. The load prediction model simulates the benchmark of individual and aggregated load profiles based on statistical information of how people use their appliances including electric vehicles (EV). Each HA has a unique load profile depending on its heterogeneous local configurations. The real-time price prediction model is defined as piecewise linear functions of power and the optimal coefficients are obtained from historical data of real-time loads and electricity prices via the norm approximation approach. The optimal load control models are developed based on dynamic pricing of RTP and TOU. An open-loop optimal load control model under RTP (OL-LCM-RTP) is formulated into a convex programming (CP) problem to minimize electricity payment and waiting time. A HA schedules the controllable loads based on its local information by solving the CP problem; therefore, it only requires a minimum of communication between the HA and the RA. This is greatly useful because the infrastructure for communication is still under development. In addition, the privacy of users is not sacrificed. Simulation results show that the peak-to-average power ratio (PAPR) and the standard deviation of the load profile, and electricity payments are reduced using the proposed mechanism. A close-loop optimal load control model under RTP (CL-LCM-RTP) is developed based on the OL-LCM-RTP by further incorporating feedbacks from RA. A HA solves the CP problem to schedule the controllable loads in a round process using the global load information. The process can be quickly converged in the second round; therefore, it requires limited efforts from the communication and the coordination. It is found that this model can significantly improve the quality of the optimization based on the simulation results. An optimal load control model under TOU (LCM-TOU) is modeled by a linear programming (LP) problem. The objective function is designed to find a trade-off among three factors: 1) the minimum electricity payment; 2) comfort levels with waiting time; and 3) to avoid peak demand rebound. We also evaluate the impacts of the participation levels of TOU programs. The simulation results show a reduced PAPR, standard deviation and the electricity payments from the HAs. The HA, with proposed optimal control mechanisms, can be embedded into a home energy management system (EMS) to make intelligent decisions on behalf of homeowners automatically responding to DR policies. The proposed agent system can be utilized to evaluate various strategies and emerging technologies that enable DR implementation.
Multi Agent Energy Systems Simulation
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Author : Tiago Pinto
language : en
Publisher:
Release Date : 2020
Multi Agent Energy Systems Simulation written by Tiago Pinto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings' electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.
Multi Agent Systems
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Author : Ricardo Lopez-Ruiz
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-04-22
Multi Agent Systems written by Ricardo Lopez-Ruiz and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-22 with Computers categories.
Research on multi-agent systems is enlarging our future technical capabilities as humans and as an intelligent society. During recent years many effective applications have been implemented and are part of our daily life. These applications have agent-based models and methods as an important ingredient. Markets, finance world, robotics, medical technology, social negotiation, video games, big-data science, etc. are some of the branches where the knowledge gained through multi-agent simulations is necessary and where new software engineering tools are continuously created and tested in order to reach an effective technology transfer to impact our lives. This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. We hope that this book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems.
Trends In Practical Applications Of Scalable Multi Agent Systems The Paams Collection
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Author : Fernando de la Prieta
language : en
Publisher: Springer
Release Date : 2016-06-06
Trends In Practical Applications Of Scalable Multi Agent Systems The Paams Collection written by Fernando de la Prieta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-06 with Technology & Engineering categories.
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2016 in the special sessions: Agents Behaviours and Artificial Markets (ABAM); Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids (ADRESS); Agents and Mobile Devices (AM); Agent Methodologies for Intelligent Robotics Applications (AMIRA); Learning, Agents and Formal Languages (LAFLang); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes). The volume also includes the paper accepted for the Doctoral Consortium in PAAMS 2016 and Collocated Events.
Multi Agent Energy Systems Simulation
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Author : Tiago Pinto
language : en
Publisher: MDPI
Release Date : 2020-11-13
Multi Agent Energy Systems Simulation written by Tiago Pinto and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Technology & Engineering categories.
The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings’ electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.
Innovations In Multi Agent Systems And Application 1
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Author : Dipti Srinivasan
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-10
Innovations In Multi Agent Systems And Application 1 written by Dipti Srinivasan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-10 with Computers categories.
This book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arising from their interactions. Multi-agent systems allow the subproblems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interest and goals. This increases the speed, creates parallelism and reduces the risk of system collapse on a single point of failure. Different multi-agent architectures, that are tailor-made for a specific application are possible. They are able to synergistically combine the various computational intelligent techniques for attaining a superior performance. This gives an opportunity for bringing the advantages of various techniques into a single framework. It also provides the freedom to model the behavior of the system to be as competitive or coordinating, each having its own advantages and disadvantages.
A Multi Agent Demand Response Planning And Operational Optimization Framework
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Author : Alireza Fallahi
language : en
Publisher:
Release Date : 2022
A Multi Agent Demand Response Planning And Operational Optimization Framework written by Alireza Fallahi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Electric power consumption categories.
This research describes a real-time optimization model for multi-agent demand response (DR) from a Load Serving Entity (LSE) perspective. We formulate two infinite horizon stochastic optimization models; specifically, an LSE model and a dynamic pricing customer model. The objective of these models is to minimize long-term cost and discomfort penalty of the LSE and dynamic pricing customers. We solve a deterministic finite horizon linear program as an approximation of the suggested stochastic model and provide computational experiments. In stochastic programming (SP), a wait-and-see solution is at least as good as an optimal policy. On the other hand, a policy that uses the expected value problem is never as good as an optimal policy. This is well established in SP when there is a single agent. A question arises whether bounds exist when we have two agents. The present study develops a research methodology to answer this question. Our experiments show that if we have two separate agents, and both agents get perfect information, this can be worse compared to both agents doing the mean value problem. Nevertheless, we have found that there are bounds when the first stage follows the same set of actions. A two-agent demand response problem has been used as a case study to show this claim.
Flexibility In Electric Power Distribution Networks
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Author : Hassan Haes Alhelou
language : en
Publisher: CRC Press
Release Date : 2021-07-15
Flexibility In Electric Power Distribution Networks written by Hassan Haes Alhelou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
Discusses flexibility issues in modern and future Smart power systems. Discusses flexible smart distribution grid with renewable-based distributed generation. Explains high penetration level of renewable energy sources and flexibility issues. Highlights flexibility based on energy storages, demand response, and plug-in electric vehicles. Describes Flexibility sources in modern power systems.
Cloud Based Multi Agent Systems For Flexibility Management In Future Distribution Grids
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Author : Stefan Dähling
language : en
Publisher:
Release Date : 2021
Cloud Based Multi Agent Systems For Flexibility Management In Future Distribution Grids written by Stefan Dähling and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.