Comprehensive Post-Evaluation Model on Wind Power

2013 ◽  
Vol 722 ◽  
pp. 86-92
Author(s):  
Yun Na Wu ◽  
Wen Jun Chen ◽  
Yang Li

Chinese wind power has undergone a rapid development under the support from government and technology progress, which caused a discordant situation with the backward of its post-evaluation work. Currently, a comprehensive post-evaluation index system and evaluation methods has not been established, the result of current evaluation cannot help the decision-making for the follow-up projects and the further improvement of the operational status of wind farm. However, since the end of 2010, there are more and more problems exposed in wind powers development. It is necessary to develop a comprehensive and scientific post-evaluation on Chinese wind power project. This research contains two parts, the first part constructed a whole-process post-evaluation model on wind power project, the second part developed a target completion degree post-evaluation model from terms of cost, quality, schedule, safety and environment. What is more, the literature about wind power project evaluation was analyzed in this paper.

2010 ◽  
Vol 108-111 ◽  
pp. 256-261 ◽  
Author(s):  
Wei Li ◽  
Shi Chao Li ◽  
Dan Wang

With the rapid development of the society, more and more countries have been increasingly optimistic about wind power projects because of its advantages, such as non-polluting, renewable, energy-saving and emission reduction. While facing the temptation of high profit, it is necessary to assess the risks of wind power project investment scientifically. Therefore, this article combines with the risk characteristics of wind power project under the current social environment to build a evaluation index system of wind power project to evaluate the risk of wind power project based on BP neural network.


2011 ◽  
Vol 71-78 ◽  
pp. 2341-2346 ◽  
Author(s):  
Dong Xiao Niu ◽  
Fang Fang ◽  
Ying Ying Li

This study is to construct a post-evaluation system for the social environment of the wind power project and make a comprehensive assessment by the introducing the cloud model-based analytic hierarchy process. The process manifests the weight and index evaluation in the form of cloud model, which takes account of both ambiguity and randomness, improves the comprehensiveness and accuracy of the results and provides application and arguments for the method through practical examples.


Author(s):  
Hugo Díaz ◽  
José Miguel Rodrigues ◽  
C. Guedes Soares

This paper aims to make a contribution to assessing the viability of offshore wind power projects on the Galician coast. Several of the factors involved in these projects are studied, such as site selection and employed technologies regarding turbine and floating foundations. Estimated costs ‘ analysis and financial evaluation are performed for a chosen solution. Based on the conducted study, an offshore wind farm in Galicia may become valid in a prospect of an electricity tariff to the producer in line with other European countries. Furthermore, an expected decrease of costs of floating platforms once produced in series and of offshore technology as a whole, in addition to incentives, would make the investment much more attractive.


Author(s):  
Gengyin Li ◽  
Guodong Li ◽  
Ming Zhou

Abstract This article explores and establishes comprehensive evaluation index system of wind power accommodation ability considering microscopic index and macroscopic index, and the index system includes conventional evaluation indexes such as forecast deviation, simultaneity factor and anti-peak rate, also newly introduced evaluation indexes such as installed capacity, power adequacy and accommodation space. Bayesian weight modified method is used for solving index weights of 8 wind power accommodation indexes. The paper puts forward a comprehensive evaluation model of wind power accommodation ability based on improved radar chart method, and this model changes traditional radar chart fan-shaped sector to quadrilateral evaluation region, and increasing angle bisector can solve the problem that evaluation results are not unique. It constructs new area and perimeter vectors of radar chart, which make the evaluation results give consideration to level of aggregation and balance degree of evaluation objectives, and case study results show that this model has a certain practical value.


2014 ◽  
Vol 953-954 ◽  
pp. 518-521 ◽  
Author(s):  
Jin Liu ◽  
Shu Qiang Zhao

Large-scale wind turbine generators with power electronic converters that operate near series compensated transmission lines are susceptible to un-damped sub-synchronous oscillations. This sub-synchronous oscillation is called Sub-synchronous Control Interaction (SSCI). With the rapid development of wind power technology, SSCI emerges as a new sub-synchronous oscillation phenomenon. The first SSCI event occurred for a wind farm in America in2009, which resulted in damage to the wind turbines. The origin of SSCI is presented and its characteristics of different types of wind turbines are summarized. Then the research prospect on this field is explored.


2013 ◽  
Vol 448-453 ◽  
pp. 1871-1874
Author(s):  
Yuan Xie

China has great potential in offshore wind energy and makes an ambitious target for offshore wind power development. Operation and Maintenance (O&M) of offshore wind turbines become more and more important for China wind industry. This study introduces the current offshore wind power projects in China. Donghai Bridge Offshore Demonstration Wind Farm (Donghai Bridge Project) is the first commercial offshore wind power project in China, which was connected to grid in June 2010. O&M of Donghai Bridge Project represent the state-of-the-art of China offshore O&M. During the past two and half years, O&M of Donghai Bridge Project has gone through three phases and stepped into a steady stage. Its believed that analysis of O&M of Donghai Bridge Project is very helpful for Chinas offshore wind power in the future.


2022 ◽  
Vol 14 (1) ◽  
pp. 449
Author(s):  
Jie Huang ◽  
Xiaolu Huang ◽  
Nanqi Song ◽  
Yu Ma ◽  
Dan Wei

Actively promoting the development of offshore wind power is an inevitable choice if the People’s Republic of China plans to fulfill its international commitments, respond to climate change, ensure energy security, and improve energy infrastructure. Inevitably, offshore wind power development will conflict with other marine activities, including mariculture and shipping. Therefore, learning how to develop offshore wind power without affecting the environment or conflicting with other marine activities is crucial to the conservation of spatial marine resources. The rapid development of offshore wind power in Liaoning Province has allowed researchers to develop an index system that can be used to evaluate the suitability of offshore wind power development sites by considering costs, environmental protection, and sea management. Spatial analysis and a multi-attribute evaluation method integrating a fuzzy membership function were used to evaluate offshore wind farm placement in Liaoning. The results classified 5%, 18%, 21%, and 56% offshore areas of Liaoning as very suitable, relatively suitable, somewhat unsuitable, and unsuitable for wind power development, respectively. The results of this paper can provide a reference for decision makers who plan for offshore wind farm locations under the constraints of high-intensity development.


2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Yunna Wu ◽  
Shaoyu Ji ◽  
Jing Wang ◽  
Zixin Song

Due to the aggravating wind curtailment phenomenon, low-speed wind power project (LSWPP) with the superiority of its generation being absorbed locally is rapidly developing in China. As the risk and opportunity coexist, a comprehensive risk assessment should be implemented to evaluate the risk level of a LSWPP. This paper firstly identified 38 risk factors based on a questionnaire survey and then sorted out 17 critical risk factors and divided them into 4 criteria to form the evaluation index system. In order to overcome the deficiencies of not considering randomness of linguistic variables and neglecting the interrelationship between factors, we proposed an aggregated method which combined ANP, the cloud theory, and the technique for order preference by similarity to ideal solution (TOPSIS) for LSWPPs risk assessment. After a case in China was studied and the sensitivity was tested, the effectiveness and application of this framework are demonstrated. Through the calculation of membership of each project, it indicated that the overall risk level of LSWPPs is relatively high. Finally, some recommendations of each critical risk factor were given for government, investors, and decision-makers to help them make more appropriate decisions and distribute the limited resources more rationally.


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