Multi‐level dispatch control architecture for power systems with demand‐side resources

Hu, Jianqiang; Cao, Jinde; Tang, Yunfei

doi:10.1049/iet-gtd.2015.0232

Cited by 24 publications

(15 citation statements)

References 42 publications

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“…Variable av represents the switch position, which is an average signal that satisfies av ∈ [0, 1]. It is important to mention that the switched model of the Buck converter is obtained when av is replaced by in (26), with being a signal that takes values in the discrete set {0, 1}.…”

Section: Control At the Lowest Hierarchical Level: Power Stage The Pmentioning

confidence: 99%

“…However, consideration of dynamics associated with these subsystems could lead to new research areas where the power electronics would play an important role with regard to the storage, distribution, and transformation of electrical energy [20][21][22][23][24][25][26][27][28]. Some approximations in this direction are presented in [29,30], where dynamics associated with actuators, power stage, and electric power generation are considered in mechatronic systems.…”

Section: Introductionmentioning

confidence: 99%

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Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation

et al. 2017

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The trajectory tracking task in a wheeled mobile robot (WMR) is solved by proposing a three-level hierarchical controller that considers the mathematical model of the mechanical structure (differential drive WMR), actuators (DC motors), and power stage (DC/DC Buck power converters). The highest hierarchical level is a kinematic control for the mechanical structure; the medium level includes two controllers based on differential flatness for the actuators; and the lowest hierarchical level consists of two average controllers also based on differential flatness for the power stage. In order to experimentally validate the feasibility of the proposed control scheme, the hierarchical controller is implemented via a Σ-Δ-modulator in a differential drive WMR prototype that we have built. Such an implementation is achieved by using MATLAB-Simulink and the real-time interface ControlDesk together with a DS1104 board. The experimental results show the effectiveness and robustness of the proposed control scheme.

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Section: Control At the Lowest Hierarchical Level: Power Stage The Pmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation

et al. 2017

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“…min 30 ,  ev off t (15) where toff,ev is off time duration of EV (min). (16) where Ns_sofar,ev is the number of signals which EV has received to be switched off so far.…”

Section: Soc Soc Socmentioning

confidence: 99%

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Ashourpouri¹,

Ghosh²,

Rajakaruna³

2019

Energyo

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“…However, operating these fuel type units is often subjected to some physical constraints and results in excessive wear-and-tear, fuel consumption and environmental pollution. Demand side resources have considerable dispatch potential and can provide different kinds of ancillary services without pollution, such as emergency demand response [2], frequency regulation [3], load following [4], [5], and demand response spanning reserve.…”

mentioning

confidence: 99%

Load Following of Multiple Heterogeneous TCL Aggregators by Centralized Control

Cao

Chen

et al. 2017

IEEE Trans. Power Syst.

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Aggregate thermostatically controlled loads (TCLs) are good candidates for providing load following services in power systems. This paper is concerned with the modeling, evaluation and control problems of a population of heterogeneous TCLs. Specifically, the heterogeneous population is divided into multiple homogeneous clusters and each cluster, i.e., TCL aggregator, is modeled by an approximated three-input single-output (TISO) state space model. Here, the aggregators serve as a bridge connecting the load utility and the terminal TCLs, which have their own decision makers and are responsible for aggregate estimation and command issuing. And aggregate evaluation is carried out for the aggregator so as to provide the aggregate regulation capacities and ramping rates, which is useful for setting of the reference power trajectory. Based on the established control model, we furthermore propose a hierarchical centralized control algorithm for a bus load utility to regulate all TCLs inside it so as to provide load following service, while not affecting the customers' comfort levels. Finally, simulation results with respect to a common bus load are provided to demonstrate the effectiveness of the proposed aggregate modeling and the centralized load following strategy.

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Multi‐level dispatch control architecture for power systems with demand‐side resources

Cited by 24 publications

References 42 publications

Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation

Tracking Control for Mobile Robots Considering the Dynamics of All Their Subsystems: Experimental Implementation

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Load Following of Multiple Heterogeneous TCL Aggregators by Centralized Control

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