The Use of Constraint Programming for the Autonomous Management of Power Flows

Davidson, E.M.; Dolan, Michael J.; McArthur, S.D.J.; Ault, Graham

doi:10.1109/isap.2009.5352952

Cited by 24 publications

(25 citation statements)

References 18 publications

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“…CP is developed to deal with the various constraints and domain sets that represent the problem as input and dispatches the satisfactory solution sets to the variables as output. These solution sets can be further processed either in a customized method or in an exhaustive search list [17]. Therefore, CP has the advantage of solving linear programming and optimization problem with additional choice of nondominated solutions which can be customized by the users.…”

Section: A Constraint Satisfaction Problem Principlementioning

confidence: 99%

Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response

Luo

Dolan

Davidson

et al. 2015

IEEE Trans. Smart Grid

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Technical innovation in power distribution networks is pointing toward a decentralized control vision to deal with the issues in design and operations related to distributed energy resources. Thus, decentralized approaches to power flow management (PFM) are of significant importance from the distributed network operator (DNO) perspective. In this paper, a new hybrid distributed control approach is proposed to deal with thermal overload issues. The control algorithm is based on constraint satisfaction problem that is applied to solve the network constraint problem. The novelty of this control approach consists in the joint control of both distributed generation and demand response units for PFM in an autonomous regional control environment. The implementation of this demand-side management, integrated active network management, and distributed control technique contributes to network reinforcement deferral, economy of supply, and efficient capital expenditure. Simulation has been implemented in a medium voltage interconnected test network with a substation controller and a network simulator. The control actions successfully achieve the desired objectives and are evaluated in comparison analysis. This new hybrid distributed control technique has potential to benefit the DNO planning and operation activities in the development of future decentralized smart grids.Index Terms-Active network management (ANM), constraint satisfaction problem (CSP), demand response (DR)/demand-side management (DSM), distributed control.

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Section: A Constraint Satisfaction Problem Principlementioning

confidence: 99%

Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response

Luo

Dolan

Davidson

et al. 2015

IEEE Trans. Smart Grid

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show abstract

“…Where S ij are line power flows associated with the line Stockholm, 10-13 June 2013 2 and Gen n were connected and where P Gi is the calculated output of each DG unit. Modelling PFM, in this way, relies upon a load flow engine to evaluate the power flows within the network to determine any control actions that are required.…”

Section: Pfm Using An Online Csp Approachmentioning

confidence: 99%

“…Figure 1 depicts the inputs and outputs of the CSP PFM approach. Further information regarding this approach can be found in [2,3]. …”

Section: Pfm Using An Online Csp Approachmentioning

confidence: 99%

“…The number of measurements points will be limited in the first instance through economic reasons: instrumentation and information analysis are expensive and would be limited to the minimum necessary amount to obtain a satisfactory level of visibility of the network conditions. The work presented within this paper evaluates PFM functionality based on the Constraint Satisfaction Problem (CSP) [2] in an operational environment. The objective is to assess performances when subjected to different levels of data uncertainty and verify the introduction of a SE in the ANM architecture to mitigate the data uncertainty effects on the control action.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Venturi¹,

Dolan²,

Clarkson

et al. 2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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“…An autonomous regional active network management system (AuRA-NMS) has been presented in [4,5] The power flow management functionality of the AuRA-NMS utilizes a constrained programming approach in which the outputs from certain generators are constrained (with a pre-specified threshold) to meet the thermal rating of the network assets [5].…”

mentioning

confidence: 99%

Real‐time deterministic power flow control through dispatch of distributed energy resources

Fazeli

Sumner

Johnson

et al. 2015

IET Generation, Transmission & Distribution

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The Use of Constraint Programming for the Autonomous Management of Power Flows

Cited by 24 publications

References 18 publications

Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response

Assessment of a New Constraint Satisfaction-Based Hybrid Distributed Control Technique for Power Flow Management in Distribution Networks with Generation and Demand Response

Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Real‐time deterministic power flow control through dispatch of distributed energy resources

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