scholarly journals Power Grid Reliability Evaluation Considering Wind Farm Cyber Security and Ramping Events

2019 ◽  
Vol 9 (15) ◽  
pp. 3003 ◽  
Author(s):  
Honghao Wu ◽  
Junyong Liu ◽  
Jichun Liu ◽  
Mingjian Cui ◽  
Xuan Liu ◽  
...  
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Turbines ◽  
System Reliability ◽  
Optimal Power Flow ◽  
Wind Farms ◽  
Reliability Evaluation ◽  
Test System ◽  
Power System Reliability

The cybersecurity of wind farms is an increasing concern in recent years, and its impacts on the power system reliability have not been fully studied. In this paper, the pressing issues of wind farms, including cybersecurity and wind power ramping events (WPRs) are incorporated into a new reliability evaluation approach. Cyber–physical failures like the instantaneous failure and longtime fatigue of wind turbines are considered in the reliability evaluation. The tripping attack is modeled in a bilevel optimal power flow model which aims to maximize the load shedding on the system’s vulnerable moment. The time-varying failure rate of wind turbine is approximated by Weibull distribution which incorporates the service time and remaining life of wind turbine. Various system defense capacities and penetration rates of wind power are simulated on the typical reliability test system. The comparative and sensitive analyses show that power system reliability is challenged by the cybersecurity of wind farms, especially when the installed capacity of wind power continues to rise. The timely patching of network vulnerabilities and the life management of wind turbines are important measures to ensure the cyber–physical security of wind farms.

Reliability Assessment of Wind Power System Considering Multi-Objective Models

2012 ◽  
Vol 608-609 ◽  
pp. 742-747
Author(s):  
Chun Hong Zhao ◽  
Lian Guang Liu ◽  
Zi Fa Liu ◽  
Ying Chen
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
System Reliability ◽  
Wind Farm ◽  
Wind Farms ◽  
Test System ◽  
Power System Reliability ◽  
Multi Objective ◽  
Wind Power System

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.

scholarly journals Probabilistic Performance Index based Contingency Screening for Composite Power System Reliability Evaluation

2018 ◽  
Vol 8 (5) ◽  
pp. 2661
Author(s):  
Venkata Satheesh Babu K ◽  
Madhusudan V ◽  
Ganesh V
Keyword(s):  
Power System ◽  
System Reliability ◽  
Performance Index ◽  
Computational Procedure ◽  
Reliability Evaluation ◽  
Test System ◽  
Reliability Test ◽  
Power System Reliability ◽  
Test Systems ◽  
Composite Power System

Composite power system reliability involves assessing the adequacy of generation and transmission system to meet the demand at major system load points. Contingency selection was being the most tedious step in reliability evaluation of large electric systems. Contingency in power system might be a possible event in future which was not predicted with certainty in earlier research. Therefore, uncertainty may be inevitable in power system operation. Deterministic indices may not guarantee the randomness in reliability assessment. In order to account for volatility in contingencies, a new performance index proposed in the current research. Proposed method assimilates the uncertainty in computational procedure. Reliability test systems like Roy Billinton Test System-6 bus system and IEEE-24 bus reliability test systems were used to test the effectiveness of a proposed method.

Wind power system reliability and maintenance optimization considering turbine and wind uncertainty

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhigang Tian ◽  
Han Wang
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Turbine ◽  
Wind Power ◽  
System Reliability ◽  
Reliability Assessment ◽  
Optimal Number ◽  
Power System Reliability ◽  
Content Type ◽  
Wind Power System

PurposeWind power is an important source of renewable energy and accounts for significant portions in supplying electricity in many countries and locations. The purpose of this paper is to develop a method for wind power system reliability assessment and condition-based maintenance (CBM) optimization considering both turbine and wind uncertainty. Existing studies on wind power system reliability mostly considered wind uncertainty only and did not account for turbine condition prediction.Design/methodology/approachWind power system reliability can be defined as the probability that the generated power meets the demand, which is affected by both wind uncertainty and wind turbine failures. In this paper, a method is developed for wind power system reliability modeling considering wind uncertainty, as well as wind turbine condition through health condition prediction. All wind turbine components are considered. Optimization is performed for maximizing availability or minimizing cost. Optimization is also conducted for minor repair activities to find the optimal number of joint repairs.FindingsThe wind turbine condition uncertainty and its prediction are important for wind power system reliability assessment, as well as wind speed uncertainty. Optimal CBM policies can be achieved for optimizing turbine availability or maintenance cost. Optimal preventive maintenance policies can also be achieved for scheduling minor repair activities.Originality/valueThis paper considers uncertainty in both wind speed and turbine conditions and incorporates turbine condition prediction in reliability analysis and CBM optimization. Optimization for minor repair activities is studied to find the optimal number of joint repairs, which was not investigated before. All wind turbine components are considered, and data from the field as well as reported studies are used.

Sign in / Sign up

Export Citation Format

Share Document