Real-Time Modeling for Direct Load Control in Cyber-Physical Power Systems

Facchinetti, Tullio; Vedova, Marco L. Della

doi:10.1109/tii.2011.2166787

Cited by 97 publications

(44 citation statements)

References 33 publications

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“…In addition, relevant technology named cyber physical systems (CPS) is widely used in the domains of intelligent transportation [57][58][59], smart power grid [60][61][62], and smart healthcare [63], etc. In Europe, especially Germany, an industry-led steering group has outlined the architecture and platform for realizing the Industrial 4.0 [64].…”

Section: Iot and Peid Technologiesmentioning

confidence: 99%

Optimization for a three-stage production system in the Internet of Things: procurement, production and product recovery, and acquisition

Chang

Liu

Pardalos

et al. 2015

Int J Adv Manuf Technol

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Recovery of the end-of-use products has become a topic of considerable interest in the advanced manufacturing industry due in part to uncertainties in the quality and volume of product returns. The Internet of Things (IoT) that enables the tracing, detecting, storing, and analyzing the product life cycle data for each individual item can mitigate or eliminate these uncertainties. In this paper, an integrated three-stage model is presented based on IoT technology for the optimization of procurement, production and product recovery, pricing and strategy of return acquisition. The remaining value is used to measure the return condition. The model considers three recovery options related to refurbishing, component reuse and disposal, and the value deterioration for satisfying the product demand in each stage of product life cycle (PLC). A novel particle swarm optimization (PSO) algorithm based on two heuristic methods is proposed to solve the problem. A numerical example and sensitivity analysis are used to illustrate the performance of both algorithm and applicability of the model.

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Section: Iot and Peid Technologiesmentioning

confidence: 99%

Optimization for a three-stage production system in the Internet of Things: procurement, production and product recovery, and acquisition

Chang

Liu

Pardalos

et al. 2015

Int J Adv Manuf Technol

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“…There are also some other works that have formulated problems using game theory, e.g., [7]. The authors in [8] [9] develop a scheduling scheme to achieve an optimized upper bound on the power peak load. In [10], we investigate an energy trading problem in the smart grid.…”

Section: A State-of-the-artmentioning

confidence: 99%

Heterogeneous Delay Tolerant Task Scheduling and Energy Management in the Smart Grid with Renewable Energy

Chen

Shroff

Sinha

2013

IEEE J. Select. Areas Commun.

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Abstract-The smart grid is the new generation of electricity grid that can efficiently utilize new distributed sources of energy (e.g., harvested renewable energy), and allow for dynamic electricity price. In this paper, we investigate the cost minimization problem for an end-user, such as a home, community, or a business, which is equipped with renewable energy devices when electrical appliances allow different levels of delay tolerance. The varying price of electricity presents an opportunity to reduce the electricity bill from an end-user's point of view by leveraging the flexibility to schedule operations of various appliances and HVAC systems. We assume that the end user has an energy storage battery as well as an energy harvesting device so that harvested renewable energy can be stored and later used when the price is high. The energy storage battery can also draw energy from the external grid. The problem we formulate here is to minimize the cost of the energy drawn from the external grid while usage of appliances are subject to individual delay constraints and a long-term average delay constraint. The resulting algorithm requires some future information regarding electricity prices, but it achieves provable performance without requiring future knowledge of either the power demands or the task arrival process. Moreover, we analyze the influence of the assumption that energy can be sold from the battery to the grid. An alternative algorithm is proposed to take advantage of the ability to sell energy. The performance gap between our proposed algorithm and the optimum is shown to diminish as energy selling price approaches the electricity price.

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“…Loads are independent each other. Some interesting theoretical features have been proved in [6]. In such paper, a closed-loop control strategy is based on real-time scheduling, while timing parameters are described by statistical distribution to consider errors and modeling inaccuracies.…”

Section: Related Workmentioning

confidence: 99%

“…In this sense, the proposed approach represents a general framework for the management of power/energy systems made by a huge number of components. Beside the industrial process described in this paper, other examples of heterogeneous systems that can be modeled using the proposed approach are Heating Ventilating and Air Conditioning systems (HVACs) [6] and air compressed systems [8]. Such systems are rather common in industries, buildings and apartments.…”

Section: Comments On the Proposed Approachmentioning

confidence: 99%

Real-time scheduling for industrial load management

Vedova

Facchinetti

2012

2012 IEEE International Energy Conference and Exhibition (ENERGYCON)

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A new approach based on real-time scheduling has been recently proposed for the management of electric loads composing a power system with the goal to reduce the peak load of power consumption. The novel idea is to model the power system in terms of timing parameters traditionally adopted in the field of real-time computing systems. In this way, the activation/deactivation of devices can be managed using classical scheduling algorithms developed for executing processing tasks in real-time systems. To prove the effectiveness of the proposed methodology, this paper shows its application to an industrial plant. Electric loads are modeled using timing parameters and a real-time scheduler is used to coordinate their activation. The coordinated management achieves the peak load reduction while meeting given constraints on the industrial process under control. The paper presents the modeling approach of the industrial process. The behavior of the control method is assessed by a simulated example.

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Real-Time Modeling for Direct Load Control in Cyber-Physical Power Systems

Cited by 97 publications

References 33 publications

Optimization for a three-stage production system in the Internet of Things: procurement, production and product recovery, and acquisition

Optimization for a three-stage production system in the Internet of Things: procurement, production and product recovery, and acquisition

Heterogeneous Delay Tolerant Task Scheduling and Energy Management in the Smart Grid with Renewable Energy

Real-time scheduling for industrial load management

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