Decentralised dispatch of distributed energy resources in smart grids via multi-agent coalition formation

Ye, Dayong; Zhang, Minjie; Sutanto, Danny

doi:10.1016/j.jpdc.2015.04.004

Cited by 15 publications

(9 citation statements)

References 44 publications

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“…Agent-based control is a concept which allows to control such complex systems by splitting the main control objective into smaller objectives which so-called agents try to fulfil by interacting with each other. Others used it to control electrical smart grids ( [15], [20], [25], [62], [17], [19], [36], [37], [61] and [1]) and complex building systems ( [14], [13], [42], [3] and [41]). LTN are similar to electrical smart-grids and complex building energy systems.…”

Section: Previous Work On Agent-based Control Of Distributed Energy Smentioning

confidence: 99%

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

et al. 2018

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Bidirectional low temperature networks are a novel concept that promises more efficient heating and cooling of buildings. Early research shows theoretical benefits in terms of exergy efficiency over other technologies. Pilot projects indicate that the concept delivers good performance if heating and cooling demands are diverse. However, the operation of these networks is not yet optimized and there is no quantification of the benefits over other technologies in various scenarios. Moreover, there is a lack of understanding of how to integrate and control multiple distributed heat and cold sources in such networks. Therefore, this paper develops a control concept based on a temperature set point optimization and agent-based control which allows the modular integration of an arbitrary number of sources and consumers. Afterwards, the concept is applied to two scenarios representing neighborhoods in San Francisco and Cologne with different heating and cooling demands and boundary conditions. The performance of the system is then compared to other state-of-theart heating and cooling solutions using dynamic simulations with Modelica. The results show that bidirectional low temperature networks without optimization produce 26% less emissions in the San Francisco scenario and 63% in the Cologne scenario in comparison to the other heating and cooling solutions. Savings of energy costs are 46% and 27%, and reductions of primary energy consumption 52% and 72%, respectively. The presented operation optimization leads to electricity use reductions of 13% and 41% when compared to networks with free-floating temperature control and the results indicate further potential for improvement. The study demonstrates the advantage of low temperature networks in different situations and introduces a control concept that is extendable for real implementation.

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Section: Previous Work On Agent-based Control Of Distributed Energy Smentioning

confidence: 99%

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

et al. 2018

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“…Energy dispatch and coordination without involving a central controller was architectured by Ye et al [91]. The coalition formation-based energy dispatch mechanism, communicated through a defined negotiation protocol, enables SG components to make decisions autonomously and archiving effectiveness compared to other recently developed mechanisms.…”

Section: Energy Storage Microgrid Systemsmentioning

confidence: 99%

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

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“…systems which generate and distribute electricity, a lot of research has been conducted (for example (Jiang, 2006), (Kok et al, 2012), (Kuznetsova et al, 2014), (Ye et al, 2015), (Karavas et al, 2015), (Khan et al, 2016), (Radhakrishnan and Srinivasan, 2016), (Rahman et al, 2016), (Xydas et al, 2016), (Ansari et al, 2016)). However, also the use of MAS for complex energy systems for the generation and distribution of heat or cold, such as building energy systems, HVAC systems and district heating grids, has recently gained growing attention.…”

Section: Use Ofmentioning

confidence: 99%

A Platform for the Agent-based Control of HVAC Systems

Sangi¹,

Bünning²,

Fütterer³

et al. 2017

Linköping Electronic Conference Proceedings

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Attempts to develop efficient and environmentally friendly building energy systems have led to modern complex energy concepts for buildings, which have consequently initiated a need for new control strategies for them. Multiagent control, which is known with other names like agent-based control, offers a promising solution to this challenge. To the knowledge of the authors, there are 96 platforms for multi-agent systems in different programming languages available, which are mostly java-based and mainly used in logistic applications, but there is no platform in the modeling language Modelica, which is widely used for simulation of dynamic systems, especially buildings performance simulation. This lack motivated the authors to develop a platform for agent-based control of HAVC systems. The platform eliminates the dependency of models developed in Modelica on an extra interface, which is usually required to couple the models to the platforms written in any programming languages other than Modelica. This paper presents the structure of the platform and explains how the agents' communications work. The flexibility of the optimization objective is ensured through the definition of readily interchangeable cost functions. The applicability and functionality of the platform are proved by applying the platform in the control of building energy systems examples.

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Decentralised dispatch of distributed energy resources in smart grids via multi-agent coalition formation

Cited by 15 publications

References 44 publications

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

A Platform for the Agent-based Control of HVAC Systems

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