scholarly journals Community-Based Link-Addition Strategies for Mitigating Cascading Failures in Modern Power Systems

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 126
Author(s):  
Po Hu ◽  
Lily Lee
Keyword(s):  
Power Systems ◽  
Power System ◽  
Network Topology ◽  
Network Connectivity ◽  
Mitigation Strategies ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Engineering Practice ◽  
Construction Costs ◽  
Complex Network Theory

The propagation of cascading failures of modern power systems is mainly constrained by the network topology and system parameter. In order to alleviate the cascading failure impacts, it is necessary to adjust the original network topology considering the geographical factors, construction costs and requirements of engineering practice. Based on the complex network theory, the power system is modeled as a directed graph. The graph is divided into communities based on the Fast–Newman algorithm, where each community contains at least one generator node. Combined with the islanding characteristics and the node vulnerability, three low-degree-node-based link-addition strategies are proposed to optimize the original topology. A new evaluation index combining with the attack difficulty and the island ratio is proposed to measure the impacts on the network under sequential attacks. From the analysis of the experimental results of three attack scenarios, this study adopts the proposed strategies to enhance the network connectivity and improve the robustness to some extent. It is therefore helpful to guide the power system cascading failure mitigation strategies and network optimization planning.

Mitigating Cascading Failure with Adaptive Networking

2015 ◽  
Vol 11 (02) ◽  
pp. 151-163 ◽  
Author(s):  
Hoang Anh Q. Tran ◽  
Akira Namatame
Keyword(s):  
Network Topology ◽  
Risk Sharing ◽  
Network Performance ◽  
Network Connectivity ◽  
Cascading Failure ◽  
Cascading Failures ◽  
External Shocks ◽  
Failure Simulation ◽  
Simulation Results ◽  
Average Size

The increase of a network connectivity may improve network performance, but at the same time, it may also increase the chance of extremely large risk contagion. If external shocks or excess loads at some agents are propagated to the other connected agents due to failure, the domino effects often come with disastrous consequences. How to prevent cascading failures due to external shocks is an important emerging issue. In this paper, we propose mechanisms of mitigating flow-based cascading failure. Our aim is to improve the network's resilience actively and topologically. In the scenario of how to increase cascade resilience actively, we provide a simple micro-foundation based on coordinated incentives to absorb external shocks in order to survive collectively. We propose two types of risk sharing protocols: The topology-based and non-topology-based risk sharing in which network topology plays an important role. These rules employ local sharing algorithms to achieve global shock balancing. The models of shock transfer are designed to investigate some stylized facts on how external or innate shocks tend to be allocated in a network, and how this allocation changes agents' failure probability. In the scenario of how to increase cascade resilience topologically, we provide a rewiring method in which a network is self-organizable to reduce the damage of cascading failure. Simulation results indicate that risk management and adaptive network may dramatically reduce the average size of large cascading failures.

Regional Vulnerability Analysis of Grid Structure

2013 ◽  
Vol 419 ◽  
pp. 877-882
Author(s):  
Xun Cheng Huang ◽  
Huan Qi ◽  
Xiao Pan Zhang ◽  
Li Fang Lu ◽  
Yang Yu Hu
Keyword(s):  
Power System ◽  
Complex Network ◽  
Network Theory ◽  
Power Grid ◽  
Maximum Load ◽  
Central China ◽  
Cascading Failure ◽  
Grid Structure ◽  
Complex Network Theory ◽  
Regional Vulnerability

Cascading failure of network features in power system is analyzed in this paper using complex network theory and method, and Central China power grid are analyzed in detail on the three kinds of attack forms (maximum load, the most generous attack and random attack) of regional vulnerability. It provides technical means for the prevention of cascading failure .

Forewarning of Cascading Failure Based on Comprehensive Entropy of Power Flow

2014 ◽  
Vol 615 ◽  
pp. 74-79 ◽  
Author(s):  
Dan Dan Zhu ◽  
Wen Ying Liu ◽  
Quan Cheng Lv ◽  
Wei Zhou Wang ◽  
Ning Bo Wang
Keyword(s):  
Power System ◽  
Power Flow ◽  
Flow Distribution ◽  
Case Analysis ◽  
Considerable Effect ◽  
High Load ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Load Rate ◽  
Current Operation

The comprehensive entropy of power flow is proposed in this paper based on the current entropy of power flow. The comprehensive entropy can not only describe the heterogeneity of the power flow distribution, but also takes the considerable effect of the high load rate lines on the cascading failure into consideration. Thus it can reflect the operation state in a more comprehensive way compared with the current entropy of power flow. A forewarning model which employs the comprehensive entropy as a forewarning index is also presented. And the case analysis verifies that the proposed forewarning model can assess the risk of cascading failures under the current operation state. It can identify the operation state the cascading failure risk of which accesses the set threshold, thus to help the operators of the power system to protect the power system from cascading failures.

A Cascading Failure Prediction Method in Power System Based on Multi-Agent and Hybrid Genetic Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1598-1601 ◽  
Author(s):  
Juan Li
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Hybrid Genetic Algorithm ◽  
Failure Prediction ◽  
Prediction Method ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Multi Agent ◽  
Stable Performance ◽  
Emergent Behaviors

To effectively predict cascading failure in power system, a cascading failure prediction method in power system based on multi-agent and hybrid genetic algorithm is constructed. A cascading failure prediction procedure in power system was established by multi-agent and hybrid genetic algorithm to investigate the emergent behaviors of cascading failures and to further study the prediction and defense of cascading failures. Finally, the cascading failure prediction simulation system of power system based on this method was demonstrated and validated by Flexsim software. The result showed that the proposed method was available, and can provided guidance for avoiding and predict cascading failure in power system, and support for stable performance in power system.

The Research on Risk Assessment Model of Cascading Failures in Power System

2013 ◽  
Vol 373-375 ◽  
pp. 1312-1317
Author(s):  
Fu Chun Zhang ◽  
Jia Dong Huang ◽  
Xin Sun ◽  
Qing Jie Zhou
Keyword(s):  
Power System ◽  
Risk Taking ◽  
Power Flow ◽  
Low Voltage ◽  
Assessment Model ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Large Scope ◽  
Flow Changes ◽  
Line Overload

In order to prevent large scope blackouts, the paper has established a model of power system cascading failures from the perspective of risk .Taking both the load of branch and the power flow changes into account, the model defines the probability of branch outage which can reflect the real-time operating condition. The consequences severity of cascading failure is measured by bus low voltage, power line overload level and the amount of isolated loads. In the process of searching fault link, the paper uses the structure transmission importance of branch to determine the next breaking branch, which can speed the search of the cascading failure mode. The simulation of the IEEE 39-node system shows the effectiveness of the method.

Markov Jump Linear System Analysis of a Microgrid Operating in Islanded and Grid Tied Modes

2020 ◽  
Author(s):  
Gilles Mpembele ◽  
Jonathan Kimball
Keyword(s):  
Monte Carlo ◽  
Power Systems ◽  
Power System ◽  
System Analysis ◽  
Differential Algebraic Equations ◽  
Algebraic Equations ◽  
Markov Jump ◽  
Numerical Application ◽  
Conditional Moments ◽  
Markov Jump Linear Systems

<div>The analysis of power system dynamics is usually conducted using traditional models based on the standard nonlinear differential algebraic equations (DAEs). In general, solutions to these equations can be obtained using numerical methods such as the Monte Carlo simulations. The use of methods based on the Stochastic Hybrid System (SHS) framework for power systems subject to stochastic behavior is relatively new. These methods have been successfully applied to power systems subjected to</div><div>stochastic inputs. This study discusses a class of SHSs referred to as Markov Jump Linear Systems (MJLSs), in which the entire dynamic system is jumping between distinct operating points, with different local small-signal dynamics. The numerical application is based on the analysis of the IEEE 37-bus power system switching between grid-tied and standalone operating modes. The Ordinary Differential Equations (ODEs) representing the evolution of the conditional moments are derived and a matrix representation of the system is developed. Results are compared to the averaged Monte Carlo simulation. The MJLS approach was found to have a key advantage of being far less computational expensive.</div>

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Diego A. Monroy-Ortiz ◽  
Sergio A. Dorado-Rojas ◽  
Eduardo Mojica-Nava ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Power System ◽  
Model Reduction ◽  
Electrical Power ◽  
Schur Complement ◽  
Power Transfer ◽  
Electrical Power System ◽  
Admittance Matrix ◽  
Test Beds ◽  
Power Transfer Distribution Factors

Abstract This article presents a comparison between two different methods to perform model reduction of an Electrical Power System (EPS). The first is the well-known Kron Reduction Method (KRM) that is used to remove the interior nodes (also known as internal, passive, or load nodes) of an EPS. This method computes the Schur complement of the primitive admittance matrix of an EPS to obtain a reduced model that preserves the information of the system as seen from to the generation nodes. Since the primitive admittance matrix is equivalent to the Laplacian of a graph that represents the interconnections between the nodes of an EPS, this procedure is also significant from the perspective of graph theory. On the other hand, the second procedure based on Power Transfer Distribution Factors (PTDF) uses approximations of DC power flows to define regions to be reduced within the system. In this study, both techniques were applied to obtain reduced-order models of two test beds: a 14-node IEEE system and the Colombian power system (1116 buses), in order to test scalability. In analyzing the reduction of the test beds, the characteristics of each method were classified and compiled in order to know its advantages depending on the type of application. Finally, it was found that the PTDF technique is more robust in terms of the definition of power transfer in congestion zones, while the KRM method may be more accurate.

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