Introduction lobal urban population reached more than 54% of the total global population 1. Microcontroller boards will be used to create and embed the optimizationcentric controllers into nextgeneration gateways and inverters. Pdf simulation of a smart grid city with software agents. Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets. Such action on behalf of implies the authority to decide which, if any, action is appropriate. Introduction smart grid sg consists of two diverse technologies of power electronics and communications technologies that are integrated to. Systems masges workshop on smart cities and intelligent agents scia. We have developed a cosimulator which combines support for power device models and. Simulation of a smart grid city with software agents.
Practical applications of multiagent systems in electric power systems. An increasing demand for renewable energy supply and numerous technological advancements have motivated the development of smart grids. May 19, 2014 download smart grid cosimulator for free. However, several investigations show that existing grid planning tools do not. There are standard co simulation interfaces like high level architechture hla, functional mockup interface fmi and distributed interactive simulation dis developed for purpose of large scale system model integration. Pdf the use of distributed computation and control is pervasive for a wide range of smart grid research topics. Distributed optimization and control grid modernization.
Computer software applications and case studies will be used in the classroom for teaching and research of the smart grid in residential, industrial and commercial systems. Although these cosimulation platforms for accurate simulation of smart grid communications are very beneficial, they face several challenges, such as time synchronization during the execution, and the. Abstract smart grids and sustainable energy will be powering our economy in the future, and will help meet energy challenges such as climate change and fossil fuel crisis. Fuller,1 and ned djilali2,3 1 pacific northwest national laboratory, richland, washington, usa 2 department. In particular, we will focus on implementing the concept of agents in an intelligent distributed autonomous power this work was supported in part by the u. Mar 21, 2012 in this webinar, martin levesque and da qian xu present their cosimulator, which enables to measure the performance of a fiberwireless network used to reactively control voltage fluctuations.
One suitable approach to integrating distributed intelligent systems is. Distribution intelligence distribution intelligence refers to the part of the smart grid that applies to the utility distribution system, that is, the wires, switches, and transformers that connect the utility substation to you, the customers. Smart grid, smarthousesmartgrid consortium, smart city, sap research. Simulation is an important research method therein, as it helps to avoid costly failures. Modeling and simulation for smart grid integration of solar. Simulation of a smart grid city with software agents fera. Appraisal of smart grid modeling and simulation tools. In particular, we will focus on implementing the concept of agents in an intelligent distributed autonomous power this work was. Agentbased modeling has been used extensively in biology, including the analysis of the spread of epidemics, and the threat of biowarfare, biological applications including population dynamics, stochastic gene expression, plantanimal interactions, vegetation ecology, landscape diversity, the growth and decline of ancient civilizations, evolution of ethnocentric behavior, forced displacement.
The smart grid will require improved interfaces and analytical methods, to support operator decisionmaking. Simulation of a smart grid city with software agents abstract. For this reason, in an energyintensive world, a key requirement consists on promoting and developing new control policies to optimize energy. Smart grid solutions must specialized controls be aware of these elements. Cosimulation of distributed smart grid software using.
Iot software infrastructure for energy management and. Agentbased modelling and simulation as a flexible and rich modelling framework can serve as a testbed for analysing new paradigms in the field of smart grids, such as demand response, distributed. A distributed agentbased control platform is a natural fix for building. Cosimulation framework based on power system, ai and. Intelligence as the artificial intelligence ai community wouldas the artificial intelligence ai community would confirm, realizing intelligence is not trivial at all.
Distributed optimization and control grid modernization nrel. Multiagent modelling for the simulation of a simple smart. Introduction smart grid sg consists of two diverse technologies of power electronics and communications technologies that are integrated to form a cohesive and compelling system. The model was tested by running di erent simulations, letting in. Power grid simulation and analysis across the world, smart devices, distributed wind power plants, and rooftop photovoltaic panels are changing the nature of the power system.
Simulation of smart grid technologies requires a fundamentally new approach to integrated modeling of power systems, energy markets, building technologies, and the plethora of other resources and assets that are becoming part of modern electricity production, delivery, and consumption systems. The advent of the smart grid with twoway information flows, and smart meters making realtime measurements of consumption, would allow demandside management to be deployed at scale across the entire grid, providing every home and every commercial and industrial consumer with the ability to automatically reduce load in response to signals from. Dynamic pricing by scalable energy management systems field experiences and simulation results using powermatcher koen kok, member, ieee, bart roossien, member, ieee, pamela macdougall, olaf. The application of distributed control algorithms using. Smart grid market size, share and global market forecast to. This technical paper describes how, in the future smart city, new information and communication technologies will enable a better management of the available. Also, future power systems will integrate a large number of distributed energy. A common smart grid simulation platform is still missing. They mainly focused on the device creation and energy.
Power system and communication network cosimulation for. The opendss tool has been used since 1997 in support of various research and consulting projects requiring distribution system analysis. Guo et al comprehensive realtime simulation of the smart grid 901 k1provides signi. The advent of the smart grid with twoway information flows, and smart meters making realtime measurements of consumption, would allow demandside management to be deployed at scale. The smart grid is a recent trend to minimize the losses and maximize the customers. Fuller,1 and ned djilali2,3 1 pacific northwest national laboratory, richland, washington, usa 2 department of mechanical engineering, and institute for integrated energy systems, university of victoria, victoria bc, canada. We have developed a cosimulator which combines support for power device models and communication models to improve practical investigation of the smart grid. Gridlabd an agentbased simulation framework for smart. An agentbased model abm is a class of computational models for simulating the actions and interactions of autonomous agents both individual or collective entities such as organizations or.
Simulation of a smart grid city with software agents in the future smart city, new information and communication technologies will enable a better management of the available resources. A multiagent design for selfhealing in electric power distribution. Smart grid communications and power distribution network. The first approach involves extending the features of an individual simulator to enable the simulation of both the power system dynamics and communication networks. An agentbased simulation framework for smart grids david p. Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. As the smart grid concepts emerged as a fast growing research and development topic in the last few years, smart grid users communicate in twoway directions by utilizing several wireless and wired communication protocols such as zigbee, wifi, homeplug, power line carrier, gprs, wimax, let, lease line, and fibers 5,6.
The design of a smart grid 1114 can be segregated into three layers, including 1 application layer that supports the integration of smart grid services and the monitoring of parameters and status, 2 logic layer that supports the configuration of smart grids and the management of policies, and 3 simulation layer that supports the. Apr 06, 2018 this is a demonstration model of a smart energy grid where independent renewable energy sources are integrated with conventional energy sources in order to provide energy to a mine. So this papers is analysis softwares having advantages, disadvantages. Agentbased modelling and simulation as a flexible and rich modelling framework can serve as a testbed for analysing new paradigms in the field of smart grids, such as demand response, distributed generation, distribution grid modelling, and efficient market integration. Applications of multiagent systems in smart grids al akhawayn. On the other hand, the communication network is essential to effectively incorporate many of desired features of the smart grid such as distributed automated. Gridlabd an agentbased simulation framework for smart grids. Robust, reliable, effective, and secure smart grid software could boost the grid s cybersecurity and resiliency through decentralized management as well as failure detection, isolation, and recovery. Smart grid will integrate power grid technologies and information and communication technologies to generate, transport, distribute and consume energy in a more efficient manner. A lot of efforts are being done to develop cosimulation framework for smart grid applications. Smart grid will integrate power grid technologies and information and. Distributed intelligence architectures for smart grid. Agentbased modelling and simulation of smart electricity. Developing a smart grid simulation model from an endusers.
Multiagent systems applications in energy optimization. Ongoing work is developing a cosimulation platform for the smart grid that tightly integrates. Software agents bear many of the social characteristics such as negotiation. Smart grid development using modeling, design, simulation. The jade agent platform and the psat power simulation tool were selected as the external tools supported by gridiq. Flow networks extend the depth of established power. A lightweight distributed software agent for automatic. This project will develop distributed controllers that will be validated via comprehensive and tiered softwareonly simulation and hardwareintheloop simulation. Middle east and africa mea is in its initial growth phase. Workshop on multiagent based applications for energy markets. Grid simulation platform, a smart grid simulator that. Epri smart grid resource center simulation tool opendss.
It is a distributed system incorporating a multitude of various energy sources through energy management. This is a demonstration model of a smart energy grid where independent renewable energy sources are integrated with conventional. A smart grid is an electrical grid which includes a variety of operation and energy measures including smart meters, smart appliances, renewable energy resources, and energy efficient resources. This project will develop distributed controllers that will be validated via comprehensive and tiered software only simulation and hardware in theloop simulation. Distribution intelligence refers to the part of the smart grid that applies to the utility distribution system, that is, the wires, switches, and transformers that connect the utility substation to you, the customers. Modelling the smart grid in 11, the complexity for modelling smart grids was identi. Smart grid communications and power distribution network co. We introduce a conceptual model of agents in multiple. Epochs 16 uses commercial power simulators to cosimulate network and power systems through the use of agents. Smart grids are intrinsically linked to the challenges raised by new power. Modeling and simulation for smart grid integration of solarwind energy. Introduction in the last years energy systems are moving away from a centralised and hierarchical structure, under strict control of the electricity supply companies, towards a new system where distributed actors in.
System operators will play an even more vital role as they supervise more sophisticated control systems that actively manage systems with tighter transmission and generation reserve margins. In computer science, a software agent is a computer program that acts for a user or other program in a relationship of agency, which derives from the latin agere to do. In the future smart city, new information and communication technologies will enable a better management of the available resources. National science foundation under grant eccs0742832 and the u. On the other hand, the communication network is essential to effectively incorporate many of desired features of the smart grid such as distributed automated system, distributed energy resource protection, islanding, and display of network state and performance 1. Toebermann fraunhofer iwes this work presents selected results from the project opsim fkz 0325593a,b, supported by the federal. There are standard cosimulation interfaces like high level architechture hla, functional mockup interface. A lot of efforts are being done to develop co simulation framework for smart grid applications.
In addition, it supports many new types of analyses that are designed to meet future needs related to smart grid, grid modernization, and renewable energy research. Comprehensive realtime simulation of the smart grid. Today most of the tools assume static profiles matching a specific energy distribution, as we do not have the capability of drilling down to specific devices. Now a days smart grid is controlled, protected and run by various types of. Dynamic pricing by scalable energy management systems. Pmputhe power in per unit of nominal power for particular values of a and.
The future smart grid infrastructure is emerging as a complex system where finegrained monitoring and control of energy generating andor consuming entities within the electricity network is possible. A lightweight distributed software agent for automatic demand. This platform uses agents to e ectively cosimulate power and communication elements. Normally, there are mainly two approaches in using existing tools for the cosimulation of smart grid considering both power system dynamics and communication networks. Electricity infrastructure the grid information systems including communications, cybersecurity, etc energy sources the consumer specialized controls smart grid has several interacting elements. The resilient information architecture platform for the smart grid riaps provides core services for building effective and powerful smart grid applications. Modeling and simulation for smart grid integration of. However, several investigations show that existing grid planning tools do not feature a realistic simulation of grid operation including smartgrid elements which is required for costeffective grid planning 3, 4. A lightweight distributed software agent for automatic demand supply calculation in smart grids eric msp veith 1, bernd steinbach 2, and johannes windeln 3 1,3 institute of computer science wilhelm buchner hochschule pfungstadt, germany email. Therefore we have analyzed, designed, and build a simulator based on software agents that attempts to create the dynamic behavior of a smart city. A simulation of a dynamic ecosystem such as the smart city, will enable us to test new concepts and resourceoptimization approaches.
The major growth drivers for this region are the largescale investments in smart grid and smart city projects and need for better smart grid and control mechanisms. A lightweight distributed software agent for automatic demand supply calculation in smart grids. Jsan free fulltext novel simulation approaches for smart grids. Smart grid allows the integration of distributed renewable energy resources into the conventional electricity distribution power grid such that the goals of reduction in power cost and in environment. A smart grid modeling platform combining electrical. The power lines that run through peoples back yards are one part of the power distribution system. A cosimulation architecture for power system, communication.
The architecture and behaviour of the system are presented, as well as the management and development processes adopted. It also improves grid flexibility through localized management of distributed resources. Ali mekkaoui 1, mohammed laouer 2, younes mimoun 3 1 department of electrical engineering, university of sidi belabes. Now a days smart grid is controlled, protected and run by various types of simulation softwares. Develop the perfect balance among reliability, availability, efficiency, and cost. Smart grid market size, share and global market forecast. System operators will play an even more vital role as they supervise more sophisticated.
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