Fault Modeling and Simulation Based on Cyber Physical System in Complex Distribution Network

2018 ◽  
Author(s):  
Yu Zhao ◽  
Muke Bai ◽  
Ying Liang ◽  
Jing Ma ◽  
Pan Deng
Keyword(s):  
Modeling And Simulation ◽  
Physical System ◽  
Distribution Network ◽  
Fault Modeling ◽  
Cyber Physical System ◽  
Simulation Based ◽  
Complex Distribution

scholarly journals Preventive Control Policy Construction in Active Distribution Network of Cyber-Physical System with Reinforcement Learning

2020 ◽  
Vol 11 (1) ◽  
pp. 229
Author(s):  
Pengpeng Sun ◽  
Yunwei Dong ◽  
Sen Yuan ◽  
Chong Wang
Keyword(s):  
Theoretical Analysis ◽  
Physical System ◽  
Distribution Network ◽  
Control Policy ◽  
Experimental Methods ◽  
Cascading Failures ◽  
Cyber Physical System ◽  
Preventive Control ◽  
Active Distribution Network ◽  
Cross Domain

Once an active distribution network of a cyber-physical system is in alert state, it is vulnerable to cross-domain cascading failures. It is necessary to transit the state of an active distribution network of cyber-physical system from an alert state to a normal state using a preventive control policy against cross-domain cascading failures. In fact, it is difficult to construct and analyze a preventive control policy via theoretical analysis methods or physical experimental methods. The theoretical analysis methods may not be accurate due to approximated models, and the physical experimental methods are expensive and time consuming for building prototypes. This paper presents a preventive control policy construction method based on a deep deterministic policy gradient idea (shorted as PCMD) to generate and optimize a preventive control policy with Artificial Intelligence (AI) technologies. It adopts the reinforcement learning technique to make full use of the available historical data to overcome the problems of high cost and low accuracy. Firstly, a preventive control model is designed based on the finite automaton theory, which can guide the data collection and learning policy selection. The control model considers the voltage stability, frequency stability, current overload prevention, and the control cost reduction as a feedback variable, without the specific power flow equations and differential equations. Then, after enough training, a local optimal preventive control policy can be constructed under the comparability condition among a fitted action-value function and a fitted policy function. The constructed preventive control policy contains some control actions to achieve a low cost and in accord with the principle of shortening a cross-domain cascading failures propagation sequence as far as possible. The PCMD is more flexible and closer to reality than the theoretical analysis methods and has a lower cost than the physical experimental methods. To evaluate the performance of the proposed method, an experimental case study, China Electric Power Research-Cyber-Physical System (shorted as CEPR-CPS), which comes from China Electric Power Research Institute, is carried out. The result shows that the effectiveness of preventive control policy construction with the PCMD is better than most current methods, such as the multi-agent method in terms of reducing the number of failure nodes and avoiding the state space explosion.

scholarly journals Concepts, Structure and Developments of High-Reliability Cyber-Physical Fusion Based Coordinated Planning for Distribution System

2021 ◽  
Vol 9 ◽  
Author(s):  
Chong Gao ◽  
Tianlin Wang ◽  
Huazhen Cao ◽  
Ziyao Wang ◽  
Tao Yu ◽  
...  
Keyword(s):  
Physical System ◽  
High Reliability ◽  
Distribution Network ◽  
Network Planning ◽  
Distribution Networks ◽  
Cyber Physical System ◽  
Primary System ◽  
Secondary System ◽  
Planning Models ◽  
Distribution Network Planning

Coordinated control is imperative for the distribution network with the integration of wind power, photovoltaic system, and energy storage system. Meanwhile, the advanced automation terminal, intelligent control technology, and information communication technologies have greatly promoted the informatization of distribution networks which also increase the correlation between the physical system (primary system) and the cyber system (secondary system). Hence, it is critical to comprehensively coordinate the planning of the cyber-physical system for building a highly reliable power grid. This work summarizes a series of challenges brought by the highly coupled cyber-physical system, such as the primary and secondary collaborated planning models and solution algorithms. Then, the reliability assessment theories of cyber-physical systems and their application in distribution network planning models are introduced. Finally, three development directions of distribution network planning in the future are proposed, considering primary and secondary system coordinated planning.

scholarly journals A research on early warning method of Distribution Network Cyber Physical System

2021 ◽  
Vol 248 ◽  
pp. 02054
Author(s):  
Feng Chen ◽  
Wei Wei Xu ◽  
Zong Heng Wang ◽  
Tao Yang ◽  
Hong Yang Huang
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Early Warning ◽  
Physical System ◽  
Hidden Markov ◽  
Distribution Network ◽  
Development Trend ◽  
Cyber Physical System ◽  
Stable Operation ◽  
Time Accuracy

The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.

scholarly journals Modeling and simulation for cyber-physical system security research, development and applications.

2010 ◽  
Author(s):  
Guylaine M. Pollock ◽  
William Dee Atkins ◽  
Moses Daniel Schwartz ◽  
Adrian R. Chavez ◽  
Jorge Mario Urrea ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Physical System ◽  
System Security ◽  
Cyber Physical System ◽  
Research Development ◽  
Security Research
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