Physics-based foundations for cyber and market design in complex electric energy systems

Ilić, Marija; Bachovchin, Kevin; Cvetković, Dragoš; Miao, Xiangshui

doi:10.1109/cdc.2014.7040113

Cited by 8 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead, we propose a state space transformation which retains all but two state variables of each dynamic component in the interconnected system and replaces the two eliminated state variables with the interaction variables in each module: the stored energy in the component and the rate of change of stored energy (power) exchanged between the component and the rest of the system. This approach is described in more detail in [1,2].…”

Section: Proposed Unified Modeling Apporach To Cyber-physcial Elmentioning

confidence: 99%

“…Instead, we propose to utilize our recently introduced physics-based modeling approach which supports interfaces mainly in terms of power exchange specifications, and, at the same time captures fast dynamic response of the system by simulating dynamics of equipment interacting only with local neighboring components [1,2]. The basic novel idea is to transform the existing state-space dynamic model of electric power components characterized by the natural response (time constants) of memory components (state variables) subject to Kirchhoff's laws.…”

Section: Proposed Unified Modeling Apporach To Cyber-physcial Elmentioning

confidence: 99%

See 1 more Smart Citation

Computer Architecture and Multi Time-Scale Implementations for Smart Grid in a Room Simulator

2015

Self Cite

View full text Add to dashboard Cite

This paper describes how to utilize physics-based unified modeling of complex electric power systems in order to design a multi-layered interactive Smart Grid in a Room Simulator (SGRS). In this simulator, the dynamic response of a given interconnected grid is simulated and assessed as a family of interfaced sub-processes jointly evolving at different timescales. Compared to state-of-the-art simulators, advantages of the SGRS are that it is scalable to large systems since it uses distributed computing and that it allows for privacy of different components since one object does not need to know the models or methods of another object. Standardized and transportable objects representing physical components at various degrees of temporal, spatial, and functional granularity are constructed by different users and added to the SGRS platform for future use by all. This allows users to simulate and assess the effect of the technology of interest to them, which makes the SGRS effective in supporting the deployment of new technologies with wellunderstood effects. Examples on the SRGS are described for simulating market-driven sub-processes and the fast dynamics sub-processes in response to market actions and/or to sudden hard-to-predict disturbances.Keywords-Cyber Physical Systems (CPS) for energy systems; computer platforms; distributed simulations; event-driven simulations ; simulations-based smart grid test beds.

show abstract

Section: Proposed Unified Modeling Apporach To Cyber-physcial Elmentioning

confidence: 99%

Section: Proposed Unified Modeling Apporach To Cyber-physcial Elmentioning

confidence: 99%

Computer Architecture and Multi Time-Scale Implementations for Smart Grid in a Room Simulator

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…where the third equation holds from the optimality condition (6). Using (4), (19) is further rewritten as…”

Section: Lemma 3 Under Assumptions 1 and 2 There Existsmentioning

confidence: 99%

“…In the last decade, passivity has also been actively studied in control of network systems [2], [3], where inherent passivity preservation and energy dissipative property allow one to systematically analyze the network properties and design cooperative controllers. The passivity-based approach is also employed in more advanced research fields including transportation networks [4], building control [5], power grids [6], cyber-security [7], cyber-physical systems [8] and human-swarm interactions [9].…”

Section: Introductionmentioning

confidence: 99%

Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm

Hatanaka

Chopra

Ishizaki

et al. 2018

IEEE Trans. Automat. Contr.

100

View full text Add to dashboard Cite

In this paper, we address a class of distributed optimization problems in the presence of inter-agent communication delays based on passivity. We first focus on unconstrained distributed optimization and provide a passivity-based perspective for distributed optimization algorithms. This perspective allows us to handle communication delays while using scattering transformation. Moreover, we extend the results to constrained distributed optimization, where it is shown that the problem is solved by just adding one more feedback loop of a passive system to the solution of the unconstrained ones. We also show that delays can be incorporated in the same way as the unconstrained problems. Finally, the algorithm is applied to a visual human localization problem using a pedestrian detection algorithm.

show abstract

Toward Multi-Layered MPC for Complex Electric Energy Systems

Ilić

Jaddivada

Miao

et al. 2018

Handbook of Model Predictive Control

View full text Add to dashboard Cite

Physics-based foundations for cyber and market design in complex electric energy systems

Cited by 8 publications

References 18 publications

Computer Architecture and Multi Time-Scale Implementations for Smart Grid in a Room Simulator

Computer Architecture and Multi Time-Scale Implementations for Smart Grid in a Room Simulator

Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm

Toward Multi-Layered MPC for Complex Electric Energy Systems

Contact Info

Product

Resources

About