Packetized energy management: Asynchronous and anonymous coordination of thermostatically controlled loads

Almassalkhi, Mads; Frolík, Jeff; Hines, Paul

doi:10.23919/acc.2017.7963154

Cited by 38 publications

(34 citation statements)

References 16 publications

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“…We define the vector ] ⊤ which represents the probability distribution over all the N bins that can be reached by the TCL (i.e., excluding those with zero probability). Substituting (14) into (13) we obtain a (continuous-time) linear system that approximates the natural evolution of the system as…”

Section: B Asymmetric Discretizationmentioning

confidence: 99%

A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads

Benenati

Colombino

Dall’Anese

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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2as if ρ t ⋆ , t = 0, . . . , T and Π t ⋆ , t = 0, . . . , T − 1 are optimal for (3), then ρ t ⋆ , t = 0, . . . , T and Π t ⋆ diag(ρ t ⋆ ), t = 0, . . . , T − 1 are feasible for problem (7). Next we need to show that, given the optimal solution ρ t ⋆ , t = 0, . . . , T and M t ⋆ , t = 0, . . . , T − 1 of (7), we can always reconstruct a feasible solution for (3). To do so, consider the matrices Π t ⋆

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Section: B Asymmetric Discretizationmentioning

confidence: 99%

A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads

Benenati

Colombino

Dall’Anese

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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“…Almassalkhi et al presented in [10] a real time approach to manage thermostatically controlled loads that fulfills the grid needs and requires no specific knowledge about the loads' state. This proposed scheme is known as packetized energy management, which originates a start-up company led by the authors and called Packetized Energy and a related invention report [26].…”

Section: Main Topic Referencesmentioning

confidence: 99%

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

et al. 2019

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This paper investigates the possibility of building the Energy Internet via a packetized management of non-industrial loads. The proposed solution is based on the cyber-physical implementation of energy packets where flexible loads send use requests to an energy server. Based on the existing literature, we explain how and why this approach could scale up to interconnected micro-grids, also pointing out the challenges involved in relation to the physical deployment of electricity network. We then assess how machine-type wireless communications, as part of 5G and beyond systems, will achieve the low latency and ultra reliability needed by the micro-grid protection while providing the massive coverage needed by the packetized management. This more distributed grid organization also requires localized governance models. We cite few existing examples as local markets, energy communities and micro-operator that support such novel arrangements. We close the paper by providing an overview of ongoing activities that support the proposed vision and possible ways to move forward.

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“…Each of the models considered in this paper are variants of the standard TCL model (1). For the nominal model it is necessary to introduce randomness in the times at which the power mode M changes.…”

Section: Piecewise Deterministic Markov Modelmentioning

confidence: 99%

“…This paper concerns distributed control of a large collection of electric loads, focusing on thermostatically controlled loads (TCLs). This is a topic of significant recent research [1], [5], [6], [20]- [22], [24]; the motivation of each of these authors is to obtain grid level services from the collection of loads, by harnessing their inherent flexibility.…”

Section: Introductionmentioning

confidence: 99%

Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time

Bušíć

Meyn

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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The paper develops distributed control techniques to obtain grid services from flexible loads. The Individual Perspective Design (IPD) for local (load level) control is extended to piecewise deterministic and diffusion models for thermostatically controlled load models.The IPD design is formulated as an infinite horizon average reward optimal control problem, in which the reward function contains a term that uses relative entropy rate to model deviation from nominal dynamics. In the piecewise deterministic model, the optimal solution is obtained via the solution to an eigenfunction problem, similar to what is obtained in prior work. For a jump diffusion model this simple structure is absent. The structure for the optimal solution is obtained, which suggests an ODE technique for computation that is likely far more efficient than policy-or value-iteration.

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Packetized energy management: Asynchronous and anonymous coordination of thermostatically controlled loads

Cited by 38 publications

References 16 publications

A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads

A tractable formulation for multi-period linearized optimal power flow in presence of thermostatically controlled loads

Energy Internet via Packetized Management: Enabling Technologies and Deployment Challenges

Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time

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