Simulation of Market Mechanism in Promoting Demand Side Management by Open-agents Model

Zhang, Kehu; Ji, Zhaojun; Tan, Xiandong

doi:10.1109/cinc.2009.228

Cited by 2 publications

(6 citation statements)

References 8 publications

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“…The novelty lies in its ability to separately observe the impact of high level management algorithms on the system as a whole, and also simulate the impact of the system on the individual components of a community micro-grid [11]. An agent based simulator for establishing marketing mechanism to collect funds through consumer bills, for the implementation of DSM programs is presented in [14]. One thing that makes this simulator a little different from conventional ones, is it uses human operators that control the behavior of their respective agents i.e., it involves three agents: government, sectoral and an expert (human).…”

Section: Demand Side Simulationmentioning

confidence: 99%

“…In fact, agents have been the focus of attention in many areas of computer science and artificial intelligence and being widely used in several different applications [23]. Because of the advantages of autonomy, reactivity, social ability and so on, agent technology has been widely used for economic modeling and many important computer applications such as planning, process control, communication network configurations, and concurrent systems can benefit from agent based approach [14,23]. Moreover, there are many applications of multi-agent technology in power market, such as power generator's biding, power market simulation and negotiation strategies [14].…”

Section: Mas and Non Mas-based Approachesmentioning

confidence: 99%

“…Because of the advantages of autonomy, reactivity, social ability and so on, agent technology has been widely used for economic modeling and many important computer applications such as planning, process control, communication network configurations, and concurrent systems can benefit from agent based approach [14,23]. Moreover, there are many applications of multi-agent technology in power market, such as power generator's biding, power market simulation and negotiation strategies [14]. In MAS, several software agent -a computer program which works toward its goal in a dynamic environment on behalf of another entity (human or computational), possibly over an extended period of time, without continuous direct supervision or control, and exhibits a significant degree of flexibility and creativity in how it seeks to transform goals into action tasks -cooperate to achieve some task.…”

Section: Mas and Non Mas-based Approachesmentioning

confidence: 99%

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Demand Side Simulation: Architecture and Performance

Yousaf¹

2023

Preprint

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In this thesis, we describe a simulator of residential power consumption, as the first step towards a comprehensive demand-side simulator in the context of smart grid. The si mulator uses a commercialRelational Database Management System (RDBMS) as its simulation engine, and is thus capable of supporting much larger simulated systems than other existing simulators which are mostly based on a multi-agent simulation paradigm. The RDBMS-based design also leads to much improved performance while requiring less resources than comparable MAS-based system. Moreover, simulator records all the events which exceed a certain threshold and in response controls demand and assures the stability of the system, based on the future and past events. furthermore, simulator can help utility companies to obtain initial data that can lead to the development of more complex solutions to monitor and control energy consumption, and thus identify target operating points for the generation and distribution systems, with the ultimate goal of balancing the demand and supply, and of improving energy efficiency at the utility level.

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Section: Demand Side Simulationmentioning

confidence: 99%