Human social dynamics multi agent system

Current political and economic events are placing an emphasis on energy production and consumption more than ever before. This leads to the necessity for continued research with power distribution systems and factors influencing system operation. The Human Social Dynamics Multi Agent System (HSDMAS) is a project contributing to the study of power distribution networks. By examining power failures as a string of related events while incorporating intelligent learning agents representing human factors, the HSDMAS takes a unique approach towards the understanding and prevention of large scale power failures by coupling a probabilistic model of load-dependent cascading failure, CASCADE, with a dynamic power systems model, OPA. The HSDMAS project focuses on improving and optimizing the performance of the CASCADE and OPA models individually, then develops an interactive multi- layer, multi-agent system modeling power transmission and human factors represented by utility optimization

A Multi Agent System Design for Power Distribution Restoration Using Neural Networks

The state of the art of power distribution systems is to demand a more accurate response. It also provides more reliability for fault location and restoration respectively. A multi-agent system design for power distribution has been developed using the change of current methodology to detect and locate any type of faults. Employing the artificial intelligence for restoration process is the most important contribution to this study. Since feed-forward neural networks are weight training based back propagation concept, radial basis neural networks showed more efficiency by using the minimum error method to optimize the decision. A Probabilistic radial basis Neural Network (PNN) is designated at each feeder agent to implement the reconfiguration by analyzing the impedance and current values for each zone. The appropriate decision for the optimal reconfiguration case is a vector of activation signals associated with each switch to restore the power to the un-faulted zones of distribution feeder.;This study examines the role of Universal Asynchronous Receiver Transmitter (UART) buffer circuits in the laboratory experiment demonstration of the multi-agent system design. The main approach of a self-healing concept is the protection system. A recloser has been developed and improved for more sensitivity and faster response to detecting a fault where ever it occurs and lead the process of isolating and re-configuration. An electronic buffer circuit using digital microcontroller has been associated with the recloser and agents switches in order to offer a satisfying feedback for the proposed approach. Simulation studies, using MATLAB SimPowerSystems and, Neural Network toolboxes, for the proposed power distribution system showed improved results for fault location and restoration using Radbas neural networks. Hardware implementation with high accurate software data scoping of results has been employed to show the difference in time response using Universal Asynchronous Receiver Transmitter buffers at each switching relay in the design

Agent based modeling of energy networks

Attempts to model any present or future power grid face a huge challenge because a power grid is a complex system, with feedback and multi-agent behaviors, integrated by generation, distribution, storage and consumption systems, using various control and automation computing systems to manage electricity flows. Our approach to modeling is to build upon an established model of the low voltage electricity network which is tested and proven, by extending it to a generalized energy model. But, in order to address the crucial issues of energy efficiency, additional processes like energy conversion and storage, and further energy carriers, such as gas, heat, etc., besides the traditional electrical one, must be considered. Therefore a more powerful model, provided with enhanced nodes or conversion points, able to deal with multidimensional flows, is being required. This article addresses the issue of modeling a local multi-carrier energy network. This problem can be considered as an extension of modeling a low voltage distribution network located at some urban or rural geographic area. But instead of using an external power flow analysis package to do the power flow calculations, as used in electric networks, in this work we integrate a multiagent algorithm to perform the task, in a concurrent way to the other simulation tasks, and not only for the electric fluid but also for a number of additional energy carriers. As the model is mainly focused in system operation, generation and load models are not developed

The interconnection in active distribution networks

The active distribution network (AN) has been mentioned recently to adapt with a large-scale implementation of distributed generators. One of its enhancements is increasing interconnections to provide more than one power flow path among local control areas. These parallel physical connections might cause several problems for the network such as congestion and loop flow. Considering the characteristics of the AN, this paper proposes a decentralized approach to control power flow which has some analogies to the telephone networks. The implementation of this control mechanism is based on a multi-agent system (MAS) technology. A simulation of the power system and MAS is created to illustrate the possibility of the proposed method

Application of Game Theory to Improve the Defense of the Smart Grid

This thesis presents the development and evaluation of a distributed agent based system using reputation based trust and game theoretic techniques to improve the defense of the future smart grid from cyber-attack and equipment malfunctions. Future smart grid capabilities promise to leverage network technologies to revolutionize the production, transmission, distribution and consumption of electrical power. However, the internet like communication also increase the power grid\u27s vulnerability to cyber-attack. This thesis uses simulation linking power systems with communication networks to demonstrate the benefits of a Distributed Decision Making Communication Enable Special Protection System (SPS) using reputation based trust and game theory to protect the power grid from malicious and non-malicious malfunctions. The simulations show that a distributed approach to SPS load shedding successfully maintains power grid stability after an electrical disturbance while using reputation based trust to defend the load shedding from cyber-attack and equipment malfunction. Additional simulations demonstrate the application of game theory to defend the SPS load shedding process when available resources prevent the monitoring and defense of every part of the power grid. The demonstrated capability increases the resiliency of the power grid by preventing uncontrolled blackouts through detection and mitigation of attacks, improving the system\u27s reliability

The role of intelligent systems in delivering the smart grid

The development of "smart" or "intelligent" energy networks has been proposed by both EPRI's IntelliGrid initiative and the European SmartGrids Technology Platform as a key step in meeting our future energy needs. A central challenge in delivering the energy networks of the future is the judicious selection and development of an appropriate set of technologies and techniques which will form "a toolbox of proven technical solutions". This paper considers functionality required to deliver key parts of the Smart Grid vision of future energy networks. The role of intelligent systems in providing these networks with the requisite decision-making functionality is discussed. In addition to that functionality, the paper considers the role of intelligent systems, in particular multi-agent systems, in providing flexible and extensible architectures for deploying intelligence within the Smart Grid. Beyond exploiting intelligent systems as architectural elements of the Smart Grid, with the purpose of meeting a set of engineering requirements, the role of intelligent systems as a tool for understanding what those requirements are in the first instance, is also briefly discussed

Моделирование мультиагентного управления напряжением в распределительных электрических сетях железных дорог

The introduction of adjustable devices for reactive power compensation in distribution electric networks of railways reveals new opportunities to increase their efficiency through the use of group-based voltage control methods based on the agent-based approach. Multi-agent voltage management allows obtaining new results linked the possible of self-management of the agents-active elements of the electrical network, which leads to an increase in the reliability of power supply and power quality. Modeling the considered multi-agent control systems on classical models of system dynamics is difficult because of the complex interaction of agents due to their individual utility goals, the presence of logical operations, and the event-driven nature of the processes. Agent state diagrams have been developed in the AnyLogic environment to model multi-agent voltage control using reactive power sources in distribution electrical networks of railways. The voltage control is simulated in the test network featuring the changing mode parameters. The obtained simulation results indicate the validity of the approaches to voltage stabilization with multi-agent control methods and the possibility of their practical implementation on the basis of modern equipment.Внедрение регулируемых устройств компенсации реактивной мощности в распределительных электрических сетях железных дорог открывает новые возможности для повышения эффективности их работы за счет методов группового управления напряжением на основе агентного подхода. Мультиагентное управление напряжением позволяет получить новые результаты, связанные с возможностью самоорганизации агентов – активных элементов электрической сети, что приводит к повышению надежности электроснабжения и качества электроэнергии. Моделирование рассматриваемых мультиагентных систем управления на классических моделях системной динамики вызывает трудности из-за сложного взаимодействия агентов в виду их индивидуальных целей полезности, наличия логических операций и событийного характера процессов. Разработаны диаграммы состояний агентов для моделирования мультиагентного управления напряжением с помощью источников реактивной мощности в распределительных электрических сетях железных дорог в среде AnyLogic. Выполнено моделирование управления напряжением в тестовой электрической сети при изменении параметров режима. Полученные результаты моделирования свидетельствуют об обоснованности подходов к стабилизации напряжения методами мультиагентного управления и возможности их практической реализации на базе современного оборудования

Exploiting multi-agent system technology within an autonomous regional active network management system

This paper describes the proposed application of multi-agent system (MAS) technology within AuRA-NMS, an autonomous regional network management system currently being developed in the UK through a partnership between several UK universities, distribution network operators (DNO) and a major equipment manufacturer. The paper begins by describing the challenges facing utilities and why those challenges have led the utilities, a major manufacturer and the UK government to invest in the development of a flexible and extensible active network management system. The requirements the utilities have for a network automation system they wish to deploy on their distribution networks are discussed in detail. With those requirements in mind the rationale behind the use of multi-agent systems (MAS) within AuRA-NMS is presented and the inherent research and design challenges highlighted including: the issues associated with robustness of distributed MAS platforms; the arbitration of different control functions; and the relationship between the ontological requirements of Foundation for Intelligent Physical Agent (FIPA) compliant multi-agent systems, legacy protocols and standards such as IEC 61850 and the common information model (CIM)

Multi-agent systems for power engineering applications - part 1 : Concepts, approaches and technical challenges

This is the first part of a 2-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part 1 of the paper examines the potential value of MAS technology to the power industry. In terms of contribution, it describes fundamental concepts and approaches within the field of multi-agent systems that are appropriate to power engineering applications. As well as presenting a comprehensive review of the meaningful power engineering applications for which MAS are being investigated, it also defines the technical issues which must be addressed in order to accelerate and facilitate the uptake of the technology within the power and energy sector. Part 2 of the paper explores the decisions inherent in engineering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed and implemented