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Energies 2017, 10(3), 267; doi:10.3390/en10030267

A Cyber Physical Model Based on a Hybrid System for Flexible Load Control in an Active Distribution Network

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Academic Editors: Mashrur (Ronnie) Chowdhury and Kakan Dey
Received: 23 November 2016 / Revised: 23 January 2017 / Accepted: 16 February 2017 / Published: 24 February 2017
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Abstract

To strengthen the integration of the primary and secondary systems, a concept of Cyber Physical Systems (CPS) is introduced to construct a CPS in Power Systems (Power CPS). The most basic work of the Power CPS is to build an integration model which combines both a continuous process and a discrete process. The advanced form of smart grid, the Active Distribution Network (ADN) is a typical example of Power CPS. After designing the Power CPS model architecture and its application in ADN, a Hybrid System based model and control method of Power CPS is proposed in this paper. As an application example, ADN flexible load is modeled and controlled with ADN feeder power control by a control strategy which includes the normal condition and the underpowered condition. In this model and strategy, some factors like load power consumption and load functional demand are considered and optimized. In order to make up some of the deficiencies of centralized control, a distributed control method is presented to reduce model complexity and improve calculation speed. The effectiveness of all the models and methods are demonstrated in the case study. View Full-Text
Keywords: cyber physical systems; active distribution system; flexible load; hybrid system model; model predictive control cyber physical systems; active distribution system; flexible load; hybrid system model; model predictive control
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Wang, Y.; Liu, D.; Sun, C. A Cyber Physical Model Based on a Hybrid System for Flexible Load Control in an Active Distribution Network. Energies 2017, 10, 267.

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