Direct load control using fuzzy dynamic programming

Yang, Hong-Tzer; Huang, Kun-Yuan

doi:10.1049/ip-gtd:19990317

Cited by 45 publications

(20 citation statements)

References 1 publication

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“…There are also works in which DP is used to solve load control problems [8,14,15]. The common drawbacks of DP for real time control applications include the curse of dimensionality and the computation time.…”

Section: The Constrained Optimization Problemmentioning

confidence: 99%

The Design of an Optimal Demand Response Controller Under Real Time Electricity Pricing

Jin¹,

Choi²,

Park³

et al. 2013

Journal of Electrical Engineering and Technology

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-The use of a demand response controller is necessary for electric devices to effectively respond to time varying price signals and to achieve the benefits of cost reduction. This paper describes a new formulation with the form of constrained optimization for designing an optimal demand response controller. It is demonstrated that constrained optimization is a better approach for the demand response controller, in terms of the ambiguity of device operation and the practicality of implementation of the optimal control law. This paper also proposes a design scheme to construct a demand response controller that is useful when a system controller is already adapted or optimized for the system. The design separates the demand response function from the original system control function while leaving the system control law unchanged. The proposed formulation is simulated and compared to the system with simple dynamics. The effects of the constraints, the system characteristics and the electricity price are examined further.

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Section: The Constrained Optimization Problemmentioning

confidence: 99%

The Design of an Optimal Demand Response Controller Under Real Time Electricity Pricing

Jin¹,

Choi²,

Park³

et al. 2013

Journal of Electrical Engineering and Technology

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“…In order to achieve these objectives, different methodologies were implemented, such as dynamic programming [25]- [27] and linear programming [28], [29]. During the last years, alternative methodologies have been proposed with similar objectives; examples can be found in [30] and [31], which applied fuzzy logic and fuzzy dynamic programming, respectively, to reduce system peak loads and system operation costs. On the other hand, [32] proposed to schedule ON/OFF switching of residential appliances in accordance with a predefined load reduction profile through the pulse width modulation (PWM) methodology.…”

Section: Algorithms Of Load Control Strategiesmentioning

confidence: 99%

An Integrated Tool for Assessing the Demand Profile Flexibility

Moreno

Molina‐García²,

Marín³

et al. 2004

IEEE Trans. Power Syst.

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Abstract-The purpose of this paper is to describe an integrated tool whose aim is to assess the residential demand profile flexibility through the control of space conditioning loads, mainly air conditioner and heat pump appliances. This assessment has been divided into two principal tasks-an estimation of the controllable load and a selection of the optimum load control strategy according to a target profile and a set of prefixed constraints. The tool also provides the aggregated load behavior, allowing a comparison between different load strategies.This tool can be applied from the customer's and the utility's side. An application example to a real environment is also presented.

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“…In [2], the authors integrated interruptible load management (ILM) into DLC to provide ancillary services; in [3], the authors proposed a dynamical optimal power flow model to online select the interruptible loads while incorporating the network constraints; in [4], the authors reported three interruptible load management programs of Taiwan power company; in [5], the authors used the iterative deepening genetic algorithm to perform the DLC scheduling; a DLC based unit commitment model to minimize the system production cost is presented in [6]; the authors in [7] proposed an optimal power flow based framework for the independent system operator (ISO) to real-time select the interruptible load offers; the authors in [8] used probabilistic methods to do distributed interruptible load shedding; the authors in [9] proposed a reliabilityconstrained unit commitment model by integrating probabilistic spinning reserve and interruptible load. Literature [10] adopted a multi-pass dynamic programming to schedule the ACLs such that both of the generating costs and peak load reduction are minimized over the whole dispatch period; literature [11] proposed a unit commitment model incorporating large air conditioner loads, and used the fuzzy dynamic programming method to solve it; the authors in [12] designed a fuzzy logic based controller which recognizes several important customer preferences and desires. Authors in [13] presented a direct load control model in virtual power plant (VPP) operation, and used commercial software to simulate the thermal transition process of different buildings.…”

Section: Introductionmentioning

confidence: 99%

Direct load control by distributed imperialist competitive algorithm

Luo

Zhao

Wang

et al. 2014

J. Mod. Power Syst. Clean Energy

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Demand side management techniques have drawn significant attentions along with the development of smart grid. This paper proposes a new direct load control (DLC) model for scheduling interruptible air conditioner loads. The model is coordinated with the unit commitment and economic dispatch to minimize the total operation cost over the whole dispatch horizon. The network constraints are also considered in the model. To ensure the thermal comfort of the occupants, we are among the first to incorporate the advanced two-parameter thermal inertia dynamical model of customer houses into the DLC model to calculate the indoor temperature variation. This paper also proposes a distributed imperialist competitive algorithm to effectively solve the model. The simulation studies prove the efficiency of the proposed methodology.

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Direct load control using fuzzy dynamic programming

Cited by 45 publications

References 1 publication

The Design of an Optimal Demand Response Controller Under Real Time Electricity Pricing

The Design of an Optimal Demand Response Controller Under Real Time Electricity Pricing

An Integrated Tool for Assessing the Demand Profile Flexibility

Direct load control by distributed imperialist competitive algorithm

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