Power system reliability impacts of wind generation and operational reserve requirements

Due to its variability, wind generation integration presents a significant challenge to power system operators in order to maintain adequate reliability levels while ensuring least cost operation. This paper explores the trade-off between the benefits associated to a higher wind penetration and the additional operational reserve requirements that they impose. Such exploration is valued in terms of its effect on power system reliability, measured as an amount of unserved energy. The paper also focuses on how changing the Value of Lost Load (VoLL) can be used to attain different reliability targets, and how wind power penetration and the diversity of the wind energy resource will impact quality of supply (in terms of instances of unserved energy). The evaluation of different penetrations of wind power generation, different wind speed profiles, wind resource diversity, and different operational reserve requirements, is conducted on the Chilean Northern Interconnected System (SING) using statistical modeling of wind speed time series and computer simulation through a 24-hour ahead unit commitment algorithm and a Monte Carlo simulation scheme. Results for the SING suggest that while wind generation can significantly reduce generation costs, it can also imply higher security costs to reach acceptable reliability levels.<br style="font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;" />

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Reliability Assessment of Wind Power System Considering Multi-Objective Models

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.608-609.742 ◽

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.

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

Journal of Quality in Maintenance Engineering ◽

10.1108/jqme-03-2020-0017 ◽

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.

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Improvement of the Power System Reliability by Prediction of Wind Power Generation

2007 IEEE Power Engineering Society General Meeting ◽

10.1109/pes.2007.385456 ◽

2007 ◽

Cited By ~ 9

Author(s):

Kurt Rohrig ◽

Bernhard Lange

Keyword(s):

Power Generation ◽

Power System ◽

Wind Power ◽

System Reliability ◽

Wind Power Generation ◽

Power System Reliability

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Impact of Large Penetration of Correlated Wind Generation on Power System Reliability

Large Scale Renewable Power Generation - Green Energy and Technology ◽

10.1007/978-981-4585-30-9_10 ◽

2014 ◽

pp. 273-287 ◽

Cited By ~ 2

Author(s):

Carmen L. T. Borges ◽

Julio A. S. Dias

Keyword(s):

Power System ◽

System Reliability ◽

Wind Generation ◽

Power System Reliability

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Application of new wind speed model in power system reliability assessment

2015 50th International Universities Power Engineering Conference (UPEC) ◽

10.1109/upec.2015.7339861 ◽

2015 ◽

Author(s):

Hui Li ◽

Jingli Guo ◽

Jun Liang

Keyword(s):

Wind Speed ◽

Power System ◽

System Reliability ◽

Reliability Assessment ◽

Power System Reliability

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Wind power penetration limit calculation based on power system reliability

2009 International Conference on Sustainable Power Generation and Supply ◽

10.1109/supergen.2009.5348185 ◽

2009 ◽

Cited By ~ 2

Author(s):

Han Xiaoqing ◽

Yan Yong

Keyword(s):

Power System ◽

Wind Power ◽

System Reliability ◽

Power System Reliability

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Impacts of Integration of Wind Farms on Power System Transient Stability

Applied Sciences ◽

10.3390/app8081289 ◽

2018 ◽

Vol 8 (8) ◽

pp. 1289 ◽

Cited By ~ 11

Author(s):

Shiwei Xia ◽

Qian Zhang ◽

S.T. Hussain ◽

Baodi Hong ◽

Weiwei Zou

Keyword(s):

Power Generation ◽

Wind Speed ◽

Power System ◽

Wind Power ◽

Transient Stability ◽

Wind Farms ◽

Wind Power Generation ◽

Wind Generation ◽

System Operation ◽

Power System Operation

To compensate for the ever-growing energy gap, renewable resources have undergone fast expansions worldwide in recent years, but they also result in some challenges for power system operation such as the static security and transient stability issues. In particular, as wind power generation accounts for a large share of these renewable energy and reduces the inertia of a power network, the transient stability of power systems with high-level wind generation is decreased and has attracted wide attention recently. Effectively analyzing and evaluating the impact of wind generation on power transient stability is indispensable to improve power system operation security level. In this paper, a Doubly Fed Induction Generator with a two-lumped mass wind turbine model is presented firstly to analyze impacts of wind power generation on power system transient stability. Although the influence of wind power generation on transient stability has been comprehensively studied, many other key factors such as the locations of wind farms and the wind speed driving the wind turbine are also investigated in detail. Furthermore, how to improve the transient stability by installing capacitors is also demonstrated in the paper. The IEEE 14-bus system is used to conduct these investigations by using the Power System Analysis Tool, and the time domain simulation results show that: (1) By increasing the capacity of wind farms, the system instability increases; (2) The wind farm location and wind speed can affect power system transient stability; (3) Installing capacitors will effectively improve system transient stability.

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