A holistic review on Cyber-Physical Power System (CPPS) testbeds for secure and sustainable electric power grid – Part – I: Background on CPPS and necessity of CPPS testbeds

Injection of a new power system component into an existing power grid often cause change in the behaviour of the power grid to which it is injected. Therefore, forecasting possible unsafe condition(s) of the power grid using an efficient power study tool is essential; and, provision of necessary mitigation actions to ensure a reliable grid is important. This paper, therefore, presents evacuation study of a 400 MW power plant connecting to the 15 GW planned transmission network of the Transmission Company of Nigeria (TCN). The NEPLAN power system analytical software was used in the modelling and simulation of the electric power grid. In the research, load flow, short circuit, transient stability, and contingency analyses were performed on the case study. From the short circuit study, it is observed that if TCN network expansion program is fully implemented, the short circuit level will go beyond the existing switchgear ratings in major substations of the network. However, with the introduction of substation splitting at Omotoso and ongoing Ogijo substations, the short circuit level will be reduced by 15%; leading to improvement in the overall system stability. Keywords—Load flow, short circuit study, transient stability study, and contingency analysis

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Application of Network Structural Properties of a Power System for Voltage Stability Assessment in an Electric Power Grid

2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET) ◽

10.1109/sefet48154.2021.9375653 ◽

2021 ◽

Author(s):

Isaiah G. Adebayo ◽

Yanxia Sun

Keyword(s):

Power System ◽

Electric Power ◽

Structural Properties ◽

Voltage Stability ◽

Power Grid ◽

Stability Assessment ◽

Electric Power Grid

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A novel approach to determine the optimal location of SFCL in electric power grid to improve power system stability

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2012.2224386 ◽

2013 ◽

Vol 28 (2) ◽

pp. 978-984 ◽

Cited By ~ 37

Author(s):

G. Didier ◽

Jean Leveque ◽

Abderrezak Rezzoug

Keyword(s):

Power System ◽

Electric Power ◽

Power Grid ◽

Power System Stability ◽

Optimal Location ◽

System Stability ◽

Electric Power Grid ◽

Novel Approach

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Theorems to explore the nature of cyber attacks on power system voltage stability

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2021-0176 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Aniruddha Agrawal ◽

Donnagratia Syndor ◽

Dallang M. Momin ◽

Shaik Affijulla

Keyword(s):

Power System ◽

Electric Power ◽

Voltage Stability ◽

Power Grid ◽

Cyber Attacks ◽

Cyber Attack ◽

Electric Grid ◽

Electric Power Grid ◽

Bus Voltage ◽

Attack Models

Abstract Smart electric grids are practising flexible, reliable and robust operations during delivery and consumption of power. However, these grids are highly vulnerable to a wide range of cyber attacks due to the deployment of an extensive communication network. In this paper, the nature of cyber attack on given power system based on proposed cyber attack models and theorems is analysed by utilizing steady state voltage stability (L index). Further, a cyber attack factor is introduced which may mislead the bus voltage stability virtually. The proposed cyber attack models and theorems are validated by executing cyber attacks on WSCC 9 bus and IEEE 14 bus test systems by using Siemens PSS/E and MATLAB softwares. Through the proposed theorems, the paper exposes and quantifies the threat of cyber attacks in the electric power grid. The simulation results reveal that the proposed cyber attack models may misrepresent the bus voltage stability, thereby misleading the energy management centre (EMC) operator into taking incorrect countermeasures. The above incorrect actions may force voltage instability which further leads to major interruptions in the electric power supply and possible cascading failure of the electric power grid. Moreover, the proposed theorems and rigorous simulations presented in the paper support the EMC operator in intelligently identifying a cyber attack, thereby enabling development of appropriate corrective actions during such cyber attacks on the smart electric grid. Thus, the concept of proposed methodology could best assist the power system operator to build detection algorithms for discrimination of cyber attacks from electrical faults towards strong electric grid resilience character.

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A specialized review on outlook of future Cyber-Physical Power System (CPPS) testbeds for securing electric power grid

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107720 ◽

2022 ◽

Vol 136 ◽

pp. 107720

Author(s):

Rajaa Vikhram Yohanandhan ◽

Rajvikram Madurai Elavarasan ◽

Rishi Pugazhendhi ◽

Manoharan Premkumar ◽

Lucian Mihet-Popa ◽

...

Keyword(s):

Power System ◽

Electric Power ◽

Power Grid ◽

Electric Power Grid

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Optimal Allocation of Large-Capacity Distributed Generation with the Volt/Var Control Capability Using Particle Swarm Optimization

Energies ◽

10.3390/en14113112 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3112

Author(s):

Donghyeon Lee ◽

Seungwan Son ◽

Insu Kim

Keyword(s):

Particle Swarm Optimization ◽

Electric Power ◽

Distributed Generation ◽

Optimal Allocation ◽

Power Grid ◽

Particle Swarm ◽

Renewable Energy Resources ◽

Swarm Optimization ◽

Large Capacity ◽

Electric Power Grid

Widespread interest in environmental issues is growing. Many studies have examined the effect of distributed generation (DG) from renewable energy resources on the electric power grid. For example, various studies efficiently connect growing DG to the current electric power grid. Accordingly, the objective of this study is to present an algorithm that determines DG location and capacity. For this purpose, this study combines particle swarm optimization (PSO) and the Volt/Var control (VVC) of DG while regulating the voltage magnitude within the allowable variation (e.g., ±5%). For practical optimization, the PSO algorithm is enhanced by applying load profile data (e.g., 24-h data). The objective function (OF) in the proposed PSO method considers voltage variations, line losses, and economic aspects of deploying large-capacity DG (e.g., installation costs) to transmission networks. The case studies validate the proposed method (i.e., optimal allocation of DG with the capability of VVC with PSO) by applying the proposed OF to the PSO that finds the optimal DG capacity and location in various scenarios (e.g., the IEEE 14- and 30-bus test feeders). This study then uses VVC to compare the voltage profile, loss, and installation cost improved by DG to a grid without DG.

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