On-line security assessment and control decision support for large amount wind power integrated power system

UHVDC link is one of the appropriate solutions to transmit large-scale renewable energy resources. An advanced real-time digital/analogue hybrid simulation platform is applied, which can accurately simulate both large-scale wind farms with digital models and UHVDC link with physical models. The UHVDC coordinated control for transmitting large scale wind power is researched in depth. According to the characteristics of the active power adjustments and equipment operating characteristics of UHVDC link, a novel type of active power control strategy is proposed to track the fluctuation of wind power. Combined with dynamic characteristics of power grid stability recovery, a reactive power coordinated control strategy of UHVDC link is put forward to improve the fault recovery and enhance the system stability when the wind farms are tripped out from power grid. The proposed coordinated control strategies are testified and verified by real-time digital/analogue hybrid simulation test. The study results provide an indispensable technical support to the application of large scale wind power transmission via UHVDC link.

Overall review of China's wind power industry: Status quo, existing problems and perspective for future development

In this paper, a peak-shaving requirement analysis method based on sequential Monte-Carlo simulation for large scale wind power integrated system is presented after analyzing the influence of large-scale wind power on the peak-shaving feature of power system. This method establishes the time sequence model of wind power and load, as well as the conventional generators of which the planned outage is also being considered as a random variable, and a three-state transfer model is established. Then the peak-shaving shortage indices of large scale wind power integrated system are defined, which can be used to probabilistically evaluate the peak-shaving requirement of the system. The convergence of the method is verified by IEEE-RTS79 system. At last, the method is applied in the real large power system of Jibei power grid in North China.

In this paper we describe the development of Internet-based approaches to public participation and on-line spatial decision support systems in particular. Two case studies in developing web-based public participation GIS (PPGIS), one local and one regional, are described in detail. Results from the live testing of these systems are shown. These are discussed in the light of recent developments in ‘cyberdemocracy’ and conclusions are drawn about principles of on-line PPGIS and problems associated with public participation, user interaction, and familiarity with IT, copyright issues, access to the Internet, and relevant political structures.

Behavior analysis of wind power producer in electricity market

It is apparent that more and more large capacity wind power will be fed into power system in the future, and certain technical challenges will emerge due to the fluctuation characteristics of wind power and the complex control of power electronics devices inside the wind turbines (e.g. Fault Ride Through - FRT, etc). By comparing one wind power integration grid with one hydropower integration grid, the special transient phenomena caused by the wind power integration is studied and the simulation results are presented in this paper. Furthermore, the potential impacts on the traditional protection are discussed in this paper. The study results show that the special transient phenomena may decrease the sensitivity, reliability, and operation speed of conventional protections.

This paper describes the process and methodology of designing and developing a clinical decision support system for home healthcare system for multi user that classify the patients into proper health level and handle the on-line monitoring, a reaction of the classification result. H2MRC Center is home healthcare system that acquires fundamental patient’s important 8 health parameters and monitors the patient’s information and classifies befitting health level and responses in health level. H2MRC have 8 important key health information, 8 parameters that classified A. the sap of life, B. Respiratory, C. Cardiovascular, D. Endocrines, and So, it needs a fast the classification of health level result, automatic classification, reliability of the result. But many users participate in H2MRC program and 8 parameters each have complicated relations so hard to monitor by a physician. So we design XML based SDSS for home healthcare. It helps fast classified by health level using these acquired 8 parameters, and suggests the proper diagnosis and provides proper medical information that helps patient’s Diagnosis. Also it helps the physician’s effectiveness of on-line decision support using large volumes of data that has complicated relation.

Effects of Large Scale Wind Power on Total System Variability and Operation: Case Study of Northern Ireland

Unveiling characteristics and determinants of China’s wind power geographies towards low-carbon transition

Constraints on the effective utilization of wind power in China: An illustration from the northeast China grid

Based on an analysis of the misunderstanding and problems concerning wind power development, this paper summarizes the experiences of coordinated development of wind power and power grids in typical countries, proposes the principles and strategies for the coordinated development of wind power and power grids in China. Technically, bidirectional friendly technologies should be deployed to ensure the security of power system. In regulatory term, a complete and standardized regulatory strategy is key to harmonious interaction among different stakeholders concerning wind development. Incentive policies should be comprehensive, foreseeable and sustainable. Related measures and suggestions for large scale development of wind power in China are put forward.

What is the appropriate pricing mechanism for China’s renewable energy in a new era?

Because wind power has the natural characteristic of intermittent, fluctuation and randomness, large scale wind power will make negative influence on the safe and stable operation of power grid. So, based on the wind power actual data of a province in north China which possesses gigawatt level capacity of wind farms group, this article uses the maximum entropy spectrum estimation method to study the time and space distribution characteristics of wind power periodicity. Analysis results show that wind power periodic component will get concentrated with the improvement of wind resources, and wind power period will be larger with the augment of wind power capacity. By mining the potential rule of intermittent wind power, this article in order to play a guiding role on power prediction, optimal scheduling, etc.

Analysis of fixed volume swaps for hedging financial risk at large-scale wind projects

The National Renewable Energy Laboratory started collecting wind power data from large commercial wind power plants (WPPs) in southwest Minnesota with dedicated dataloggers and communication links in the spring of 2000. Over the years, additional WPPs in other areas were added to and removed from the data collection effort. The longest data stream of actual wind plant output is more than 10 years. The resulting data have been used to analyze wind power fluctuations, frequency distribution of changes, the effects of spatial diversity, and wind power ancillary services. This report uses the multi-year wind power data to examine long-term wind power variability.