scholarly journals Wind Energy Generation Assessment at Specific Sites in a Peninsula in Malaysia Based on Reliability Indices

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 399 ◽  
Author(s):  
Athraa Ali Kadhem ◽  
Noor Izzri Abdul Wahab ◽  
Ahmed N. Abdalla
Keyword(s):  
Wind Power ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Wind Farms ◽  
Test System ◽  
Peninsular Malaysia ◽  
Distribution Models ◽  
Reliability Indices ◽  
Wind Energy Generation ◽  
The Impact

This paper presents a statistical analysis of wind speed data that can be extremely useful for installing a wind generation as a stand-alone system. The main objective is to define the wind power capacity’s contribution to the adequacy of generation systems for the purpose of selecting wind farm locations at specific sites in Malaysia. The combined Sequential Monte Carlo simulation (SMCS) technique and the Weibull distribution models are employed to demonstrate the impact of wind power in power system reliability. To study this, the Roy Billinton Test System (RBTS) is considered and tested using wind data from two sites in Peninsular Malaysia, Mersing and Kuala Terengganu, and one site, Kudat, in Sabah. The results showed that Mersing and Kudat were best suitable for wind sites. In addition, the reliability indices are compared prior to the addition of the two wind farms to the considered RBTS system. The results reveal that the reliability indices are slightly improved for the RBTS system with wind power generation from both the potential sites.

Research on Reliability Assessment of Power System with Wind Farms

2012 ◽  
Vol 608-609 ◽  
pp. 588-591
Author(s):  
Wen Jiang ◽  
Ye Xia Cheng ◽  
Ye Jian Cheng
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Moving Average ◽  
Reliability Assessment ◽  
Arma Model ◽  
Wind Farms ◽  
Test System ◽  
Wind Speeds ◽  
State Models

Due to randomness and fluctuation of wind speed, reliability of power system will be affected severely with increasing wind energy injected into power grid. In order to evaluate the effect on reliability of power system with wind farms, the author considers feature of time-sequential and self-correlation of wind speeds and builds an auto-regressive and moving average (ARMA) model to forecast wind speeds. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation reliability model is proposed to do reliability assessment of composite generation and transmission system with wind farm. IEEE-RTS test system is introduced to prove the proposed model. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

scholarly journals Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2863 ◽  
Author(s):  
Fernando Manuel Carvalho da Silva Santos ◽  
Leonardo Elizeire Bremermann ◽  
Tadeu da Mata Medeiros Branco ◽  
Diego Issicaba ◽  
Mauro Augusto da Rosa
Keyword(s):  
Wind Power ◽  
Sequential Monte Carlo ◽  
Wind Farms ◽  
Test System ◽  
Distribution Functions ◽  
Large Country ◽  
Global Power ◽  
Generation Capacity ◽  
Wind Characteristics ◽  
Capacity Flexibility

This paper evaluates the potential of diverse wind power patterns to balance the global power output of wind farms using the concept of operating reserve assessment. To achieve this, operating reserve assessment models are utilized to evaluate bulk generation systems under several conditions of wind power geographic distribution. Different wind behavior patterns and wind power penetration levels are tested using a modified configuration of the Institute of Electrical and Electronics Engineers Reliability Test System 96 (IEEE RTS-96). The results highlight that on a large country scale system with different wind characteristics, the diversification of wind behavior might be conducive to a compensation of wind power fluctuations, which may significantly decrease the need for system operating reserves. This effect is verified using probability distribution functions of reserve needs estimated by sequential Monte Carlo simulations (SMCS), such that useful information regarding generation capacity flexibility is drawn from the evaluations.

An Analysis about Wind Farm Construction Based on the Perspective of the Development of Ecological Environment

2013 ◽  
Vol 772 ◽  
pp. 619-621
Author(s):  
Zi Wei Bai
Keyword(s):  
Wind Power ◽  
Electromagnetic Interference ◽  
Wind Farm ◽  
Wind Farms ◽  
Control Measures ◽  
Ecological Environment ◽  
Public Attention ◽  
Natural Landscape ◽  
And Control ◽  
The Impact

Advantages of wind power are self-evident, but the impact of wind power project on the local ecological environment and natural landscape is also increasingly subject to public attention. It mainly reflects in the visual pollution of the wind turbine (or natural landscape problems), noise, bird safety and electromagnetic interference. The paper analyzed the impact of wind farms on the environment, and recommended appropriate preventions and control measures to reduce it to an acceptable level.

Study on a Service Mechanism that Wind/Photovoltaic/Energy Storage Power Station Help Wind Farms Tracking Generation Schedule Curve

2013 ◽  
Vol 860-863 ◽  
pp. 1909-1913
Author(s):  
Hai Xiang Xu ◽  
Peng Wang ◽  
Xiao Meng Ren
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Wind Farm ◽  
Wind Farms ◽  
Power Station ◽  
Forecasting Accuracy ◽  
Wind Power Forecasting ◽  
Assessment Standard ◽  
The Impact ◽  
Power Forecasting

At present, the technology of wind power forecasting isn‘t mature enough in china, so some grid-connected wind farms will be assessed when theirs power forecasting accuracy cant reach the assessment standard. In response to the situation, combined with the characteristics of WPSPS and wind farms, this paper designs a service mechanism that WPSPS help wind farms tracking generation schedule curve, namely, encouraging WPSPS to supply output compensation service for wind farm by market means to increase the accuracy of wind power forecasting. By this mechanism, not only WPSPS and wind farms will achieve win-win, but also the impact on the grid caused by fluctuations of wind powers output will reduce.

scholarly journals Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks

2021 ◽  
Vol 13 (17) ◽  
pp. 9579
Author(s):  
Mikka Kisuule ◽  
Ignacio Hernando-Gil ◽  
Jonathan Serugunda ◽  
Jane Namaganda-Kiyimba ◽  
Mike Brian Ndawula
Keyword(s):  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Distribution Network ◽  
Integrated Approach ◽  
Distribution Networks ◽  
Test System ◽  
Electricity Distribution ◽  
Reliability Indices ◽  
Operational Constraints ◽  
The Impact

Electricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution-network reliability by incorporating component lifetime models, time-varying component failure rates, as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system was modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions and the energy not supplied were complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach, as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs.

scholarly journals Optimal Inertia Reserve and Inertia Control Strategy for Wind Farms

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1067
Author(s):  
Youming Cai ◽  
Zheng Li ◽  
Xu Cai
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Control Strategy ◽  
Wind Farm ◽  
Power Grid ◽  
Wind Farms ◽  
Exit Point ◽  
Inertia Control ◽  
The Impact ◽  
Inertia Response

It is important to reduce the impact of the high penetration of wind power into the electricity supply for the purposes of the security and stability of the power grid. As such, the inertia capability of wind farms has become an observation index. The existing control modes cannot guarantee the wind turbine to respond to the frequency variation of the grid, hence, it may lead to frequency instability as the penetration of wind power gets much higher. For the stability of the power grid, a simple and applicable method is to realize inertia response by controlling wind farms based on a high-speed communication network. Thus, with the consideration of the inertia released by a wind turbine at its different operating points, the inertia control mechanism of a doubly-fed wind turbine is analyzed firstly in this paper. The optimal exit point of inertia control is discussed. Then, an active power control strategy for wind farms is proposed to reserve the maximum inertia under a given power output constraint. Furthermore, turbines in a wind farm are grouped depending on their inertia capabilities, and a wind farm inertia control strategy for reasonable extraction of inertia is then presented. Finally, the effectiveness of the proposed control strategy is verified by simulation on the RT-LAB (11.3.3, OPAL-RT TECHNOLOGIES, Montreal, Quebec, Canada) platform with detailed models of the wind farm.

Reliability Assessment of Composite Generation and Transmission System with Wind Farms

2011 ◽  
Vol 347-353 ◽  
pp. 879-883 ◽  
Author(s):  
Wen Jiang ◽  
Zhi Hu ◽  
Zheng Yan
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Wind Farm ◽  
Sequential Monte Carlo ◽  
Reliability Assessment ◽  
Wind Farms ◽  
Test System ◽  
Transmission System ◽  
Asynchronous Generator ◽  
State Models

Wind energy will affect the reliability of power system for its randomness and fluctuation. In this paper, the steady state model for the asynchronous generator is established and wind farms are considered as special PQ buses during power flow calculation. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation based on wind farm reliability model is established to do reliability assessment of composite generation and transmission system with wind farm. Meanwhile, an optimal load shedding model is used to decrease shedding load. IEEE-RTS test system is used to prove the proposed method. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

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.

Research of Robust State Estimation Method and Program Implementation Considering Large-Scale Wind Power Integration

2014 ◽  
Vol 672-674 ◽  
pp. 361-366
Author(s):  
Ya Di Luo ◽  
Jing Li ◽  
Zi Ming Guo ◽  
Gui Rong Shi ◽  
Dong Sheng Wang ◽  
...  
Keyword(s):  
State Estimation ◽  
Wind Power ◽  
Large Scale ◽  
Wind Farm ◽  
Estimation Method ◽  
Wind Farms ◽  
The State ◽  
Wind Power Integration ◽  
The Impact ◽  
Bad Data

According to the characteristics of the wind farm measuration and the impact of bad data on the state estimation, this paper introduces the reference value of measurement type and the bad data reference factor into the weight function, and then presents the calculation method of state estimation method for solving residual contamination problem caused by large-scale wind power integration. In order to improve the software computing speed and the data section real-time performance of robust state estimation, using parallel algorithms to do Givens transformation. Finally, the simulation tests of a regional power grid to prove that the proposed method can effectively identify telemetry bad data of wind farms eliminate residual pollution caused by it, which improve the speed and accuracy of the State Estimation.

scholarly journals Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks

2021 ◽  
Author(s):  
Mikka Kisuule ◽  
Ignacio Hernando-Gil ◽  
Jonathan Serugunda ◽  
Jane Namaganda-Kiyimba ◽  
Mike Brian Ndawula
Keyword(s):  
Sequential Monte Carlo ◽  
Network Reliability ◽  
Distribution Network ◽  
Integrated Approach ◽  
Distribution Networks ◽  
Test System ◽  
Electricity Distribution ◽  
Reliability Indices ◽  
Operational Constraints ◽  
The Impact

Electricity distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution network reliability by incorporating component lifetime models, time-varying component failure rates as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system is modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions, and the energy not supplied are complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs.

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