scholarly journals Contingency Analysis to Evaluate the Robustness in Large-Scale Smart Grids: Based on Information Security Objectives and Frequency Stability

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6267
Author(s):  
Pil-Sung Woo ◽  
Balho H. Kim
Keyword(s):  
Information Security ◽  
Power System ◽  
Real Time ◽  
Smart Grids ◽  
Information Structure ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Business Models ◽  
Value Added ◽  
Frequency Stability

Smart grids (SGs) are attracting attention as high value-added platforms, which mass-produce new business models through real-time information sharing. However, the open-ended information structure of SGs increases the risk of exposure to cyberattacks through the creation of multiple communication access points. In a power system where a real-time balance of supply and demand is essential, cyberattacks result in cascading failures leading to power outages. Therefore, this paper proposes a method to evaluate the robustness of large-scale SGs against cybersecurity disturbances. The proposed evaluation method established a hierarchy quantification technique considering the structural characteristics of SGs. With respect to the cyber hierarchy, relevant standards (NERC CIP, NIST FIPS) were applied to classify the grades of information security risk. In the case of physical hierarchy, the power system was calculated by using optimal power flow and analyzed the frequency stability. This study was aimed at identifying the vulnerabilities in the physical topology aspect of intelligent power systems due to cybersecurity disturbances.

Real‐time optimisation of short‐term frequency stability controls for a power system with renewables and multi‐infeed HVDCs

2018 ◽  
Vol 12 (13) ◽  
pp. 1462-1469 ◽  
Author(s):  
Luping Wang ◽  
Xiaorong Xie ◽  
Xiaoliang Dong ◽  
Ying Liu ◽  
Hongming Shen
Keyword(s):  
Power System ◽  
Real Time ◽  
Frequency Stability ◽  
Short Term ◽  
Term Frequency

scholarly journals Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2140 ◽  
Author(s):  
Sofana Reka. S ◽  
Tomislav Dragičević ◽  
Pierluigi Siano ◽  
S.R. Sahaya Prabaharan
Keyword(s):  
Smart Grid ◽  
Electricity Markets ◽  
Smart Grids ◽  
Large Scale ◽  
Business Models ◽  
Future Generation ◽  
Current Status ◽  
Complete Analysis ◽  
5G Networks ◽  
5G Network

Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.

Integration of Power System Real-Time Digital Simulator and Optimal Power Flow

2012 ◽  
Vol 590 ◽  
pp. 195-200
Author(s):  
Meng Jen Chen ◽  
Yu Chi Wu ◽  
Wen Shiush Chen ◽  
Pei Wei Huang ◽  
Tsung Wei Tsai
Keyword(s):  
Steady State ◽  
Power System ◽  
Real Time ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power ◽  
Communication Architectures ◽  
Analog Channels ◽  
Real Time Digital Simulator ◽  
Steady State Performance

In this paper, a framework for integrating a real-time digital simulator and EMS-OPF program is proposed and addressed, through two different communication architectures: asynchronous and synchronous. Validation of these communication architectures is carried out by Ethernet UDP/IP (asynchronous) and analog channels of IO card (synchronous). With this framework, both dynamic and steady-state performance of a power system can be studied easily in real-time mode.

Real-Time Smart Grids Control for Preventing Cascading Failures and Blackout using Neural Networks: Experimental Approach for N-1-1 Contingency

2016 ◽  
Vol 17 (6) ◽  
pp. 703-716 ◽  
Author(s):  
Sina Zarrabian ◽  
Rabie Belkacemi ◽  
Adeniyi A. Babalola
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Smart Grids ◽  
Intelligent Systems ◽  
Large Scale ◽  
Frequency Control ◽  
Test System ◽  
Selection Strategy ◽  
Control Approach ◽  
Contingency Condition

Abstract In this paper, a novel intelligent control is proposed based on Artificial Neural Networks (ANN) to mitigate cascading failure (CF) and prevent blackout in smart grid systems after N-1-1 contingency condition in real-time. The fundamental contribution of this research is to deploy the machine learning concept for preventing blackout at early stages of its occurrence and to make smart grids more resilient, reliable, and robust. The proposed method provides the best action selection strategy for adaptive adjustment of generators’ output power through frequency control. This method is able to relieve congestion of transmission lines and prevent consecutive transmission line outage after N-1-1 contingency condition. The proposed ANN-based control approach is tested on an experimental 100 kW test system developed by the authors to test intelligent systems. Additionally, the proposed approach is validated on the large-scale IEEE 118-bus power system by simulation studies. Experimental results show that the ANN approach is very promising and provides accurate and robust control by preventing blackout. The technique is compared to a heuristic multi-agent system (MAS) approach based on communication interchanges. The ANN approach showed more accurate and robust response than the MAS algorithm.

scholarly journals Renewable Energy System on Frequency Stability Control Strategy Using Virtual Synchronous Generator

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1697 ◽  
Author(s):  
Lingling Li ◽  
Hengyi Li ◽  
Ming-Lang Tseng ◽  
Huan Feng ◽  
Anthony S. F. Chiu
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Large Scale ◽  
Synchronous Generator ◽  
Frequency Stability ◽  
Stability Control ◽  
System Stability ◽  
Generator System ◽  
System Frequency ◽  
Virtual Synchronous Generator

This study constructs a novel virtual synchronous generator system based on a transfer function, and optimizes the parameters of the model by using the improved whale algorithm to improve the frequency control ability of virtual synchronous generator. Virtual synchronous generator technology helps to solve the problem that the integration of large-scale renewable energy generation into the power system leads to the deterioration of system frequency stability. It can maintain the symmetry of grid-connected scale and system stability. The virtual synchronous generator technology makes the inverter to have the inertia and damping characteristics of a synchronous generator. The inverter has the inertia characteristics and damps to reduce the frequency instability of high penetration renewable energy power system. The improved whale algorithm is efficient to find the best combination of control parameters and the effectiveness of the algorithm is verified by microgrid and power system. The results show that the proposed frequency coordination control scheme suppresses the frequency deviation of power system and keep the system frequency in a reasonable range.

Research on the Optimal Dispatching Strategies of Power System with Large-Scale Wind Power

2013 ◽  
Vol 385-386 ◽  
pp. 1117-1121
Author(s):  
Lin Chuan Li ◽  
Kun Wang
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Flow Model ◽  
Thermal Power ◽  
Maximum Output ◽  
Generation Cost ◽  
Equivalent Load

Large-scale wind power connected to the power system is a challenge to the traditional dispatch mode which is based on the accuracy of load forecasting and the accessibility of power, how to deal with the randomness and volatility of wind power has become a new problem facing the dispatch of power system. In this paper, an optimal power flow model with the goal of minimizing the total generation cost is established under the environment of generation market. Consider a variety of power supply in the system, the hydro and wind power should be preferentially used; Thermal power units bid for the capacity which is determined when wind power reach its maximum output at the minimum equivalent load time, and then whether the booting units can satisfy the load is checked at the maximum equivalent load time, if not, wind power will be curtailed to boot new thermal units until the load is met. Finally the example shows the feasibility of the dispatching strategies.

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