Efficient energy management for an elevator system under a constrained optimization framework

Pham, Thanh Hung; Prodan, Ionela; Genon-Catalot, Denis; Lefèvre, Laurent

doi:10.1109/icstcc.2015.7321361

Cited by 9 publications

(5 citation statements)

References 13 publications

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“…A comprehensive comparison between Flywheel Energy Storage (FES) and UCES is carried out in [12], the results of which show that the FES needs a higher initial cost and complex control strategy, while the UCES can be a convenient solution for this application because of a high lifetime, lower initial cost, and simple control strategy. As an interesting work, in addition to utilizing UCES and Battery Energy Storage (BES), a photovoltaic system as a second source (after the main grid) to have optimal and efficient energy management for an elevator system was applied [13]. The use of the elevator traffic flow model, with the aim of facilitating energy management and only implementing the UCES to increase the efficiency of elevators, was been published in [14] and [15], respectively.…”

Section: Introductionmentioning

confidence: 99%

Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings

et al. 2021

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Due to the dramatic growth of the global population, building multi-story buildings has become a necessity, which strongly requires the installation of an elevator regardless of the type of building being built. This study focuses on households, which are the second-largest electricity consumers after the transportation sector. In residential buildings, elevators impose huge electricity costs because they are used by many consumers. The novelty of this paper is implementing a Hybrid Energy Storage System (HESS), including an ultracapacitor Energy Storage (UCES) and a Battery Energy Storage (BES) system, in order to reduce the amount of power and energy consumed by elevators in residential buildings. The control strategy of this study includes two main parts. In the first stage, an indirect field-oriented control strategy is implemented to provide new features and flexibility to the system and take benefit of the regenerative energy received from the elevator’s motor. In the second stage, a novel control strategy is proposed to control the HESS efficiently. In this context, the HESS is only fed by regenerated power so the amount of energy stored in the UC can be used to reduce peak consumption. Meanwhile, the BES supplies common electrical loads in the building, e.g., washing machines, heating services (both boiler and heat pump), and lighting, which helps to achieve a nearly zero energy building.

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Section: Introductionmentioning

confidence: 99%

Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings

et al. 2021

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“…Some progress on energy saving control of drives has already been made. Efficient energy management for an elevator supplied from microgrid was developed in Pham et al ’study (2015). Dissipative energy management resulted in a combination of differential flatness for the generation of reference variables and predictive control for the references tracking.…”

Section: Introductionmentioning

confidence: 99%

Energy consumption optimization for AC drives position control

Ftorek

Sága

Oršanský

et al. 2021

COMPEL

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Purpose The main purpose of this paper is to evaluate the two energy saving position control strategies for AC drives valid for a wide range of boundary conditions including an analysis of their energy expenses. Design/methodology/approach For energy demands analysis, the optimal energy control based on mechanical and electrical losses minimization is compared with the near-optimal one based on symmetrical trapezoidal speed profile. Both control strategies respect prescribed maneuver time and define acceleration profile for preplanned rest-to-rest maneuver. Findings Presented simulations confirm lower total energy expenditures of energy optimal control if compared with near-optimal one, but the differences are only small due to the fact that two energy saving strategies are compared. Research limitations/implications Developed overall control system consisting of energy saving profile generator, pre-compensator and position control system respecting principles of field-oriented control is capable to track precomputed state variables precisely. Practical implications Energy demands of both control strategies are verified and compared to simulations and preliminary experiments. The possibilities of energy savings were confirmed for both control strategies. Originality/value Experimental verification of designed control structure is sufficiently promising and confirmed assumed energy savings.

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“…Combination of Model Predictive Control (MPC) and differential flatness is used by Pham et al [6] for efficient energy management of an elevator employing PMSM supplied from microgrid (solar panel and supercapacitor battery, backed-up with three-phase net). The flatness formulation of the considered system profiles consisting of stator currents and rotor speed are generated to minimize the stator resistances energy dissipation.…”

Section: Introductionmentioning

confidence: 99%

Energy Near‐Optimal Control Strategies for Industrial and Traction Drives with a.c. Motors

Vittek

Butko

Ftorek

et al. 2017

Mathematical Problems in Engineering

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The main contribution of this paper is a new rest-to-rest position control system for use with electric drives employing a.c. motors that is near-optimal with respect to combined electrical and frictional energy waste minimization. The friction has constant, linear, and quadratic components with respect to the rotor speed. The closeness to optimality is assessed by simulation, comparing the energy loss of the new control system with that predicted by computed optimal controls. The application of the near-optimal control system is rendered straightforward by using a symmetrical trapezoidal speed-time profile. This is provided by an energy saving reference position generator whose output is faithfully followed by means of a feedback control law based on forced dynamics control yielding prescribed closed loop dynamics, together with a matched zero dynamic lag precompensator. For load torque consisting of constant, linear, and quadratic components also maneuver time is optimized if it can be chosen arbitrary. Two case studies, one applied to position control of rotational drive and second one applied to train movement, confirm the possibilities of achieving energy savings.

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Efficient energy management for an elevator system under a constrained optimization framework

Cited by 9 publications

References 13 publications

Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings

Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings

Energy consumption optimization for AC drives position control

Energy Near‐Optimal Control Strategies for Industrial and Traction Drives with a.c. Motors

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