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Cao L.,Hebei University of Technology | Li Z.,Hebei University of Technology | Wang G.,Hebei University of Technology | Liu L.,Beijing Tsingsoft Innovation Technology Co. | Chen S.,Hebei University of Technology
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

The reliability of distribution network has great influence on the reliability of power system, the overall assessment of the distribution network reliability is very important in power system reliability analysis. The comprehensive evaluation for distribution network based on cloud model was proposed. At first, the multi-objective and multi-levels reliability evaluation index system of distribution network was established, and their weights were determined. Then, the method for determining the cloud evaluation of the underlying indexes and the cloud evaluation relationship between the upper indexes and lower indexes were proposed. Finally, a example illustrated the calculation process of this method, calculated the cloud evaluation of the distribution network, evaluated the reliability of the distribution network according to the cloud evaluation and analyzed these indexes. The results show that the comprehensive evaluation based the cloud model is effective and feasible. ©, 2015, The editorial office of Transaction of China Electrotechnical Society. All right reserved. Source

Zhou K.,Hubei Electric Power Company | Fang R.,Hubei Electric Power Company | Yan J.,Hubei Electric Power Company | Kang C.,Tsinghua University | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems

An intelligent decision-making system for power grid planning is designed and implemented on a unified platform to cope with the situation of large amounts of data, complex decision and the lack of technical tools. With the function of visualization and advanced decision-making, the system, embedded with a comprehensive built-in database, is closely merged with the geographical information system (GIS). The system has functions including adaptability evaluation, project prioritization, differentiated planning, and data interface to power system simulator. In the process of auxiliary decision-making, coordination assessment of power plants and power grid is conducted through power grid scheduling simulation, power grid expansion projects are prioritized following the fundamental principle of steady-state security analysis, the skeleton parts of a power grid are identified by a graph theoretical algorithm, and power system reconfiguration with initialized model data for commercial simulation software is produced from a planning scheme by applying the newly developed data interface to power system simulator. The software system is designed and developed from a practical point of view, and the design concepts and implementation methods proposed in the paper are verified by its preliminary applications in Hubei power grid. © 2013 State Grid Electric Power Research Institute Press. Source

Zhang B.,State Grid Corporation of China | Shao C.,Beijing Tsingsoft Innovation Technology Co. | Zhao R.,Beijing Tsingsoft Innovation Technology Co.
Dianli Zidonghua Shebei/Electric Power Automation Equipment

The current load forecasting methods mainly build models by rules of load itself and related factors. A new concept is proposed for the short-term load forecasting to ensure the reliable and economical operation of power system, which studies the deviation of traditional frequency-domain forecasting method to obtain the historic distribution rule of virtual forecasting deviation and modifies the forecasting results of traditional frequency-domain forecasting method by the forecasted deviation. A deviation correction model of load forecasting is built and a case study verifies the feasibility and practicability of the proposed method and shows the improved accuracy of short-term load forecasting. © 2015, Electric Power Automation Equipment Press. All right reserved. Source

Zou Y.-F.,Jiangsu Electric Power Research Institute | Luo X.,Beijing Tsingsoft Innovation Technology Co. | Tian N.,Jiangsu Electric Power Research Institute | Zhao R.,Beijing Tsingsoft Innovation Technology Co. | Li J.-J.,Beijing Tsingsoft Innovation Technology Co.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

There are many factors which influence the telephone traffic of power supply service center. This paper firstly analyzes the level and the curve shape of the traffic to prove the effect of the type of weeks. Then this paper determines the average temperature, minimum temperature and hourly precipitation data are the other key factors of the development and change of the traffic, especially precipitation is the most important indicator of the curve mutation. Taking into account the difference between the precipitation days and non-precipitation days, the paper proposes a layered similar forecasting method which divides the forecasting result into basic traffic curves and traffic quantity. The basic curve is the predicted result for non-precipitation days, and the traffic quantity and basic traffic curves are superimposed to form the prediction result for precipitation days. A case is given to demonstrate the effectiveness of the method described. The paper's work can improve traffic forecasting accuracy of power supply service center, which has significant applicable value for optimized scheduling. Source

Lu Z.,Tsinghua University | Xu M.,Tsinghua University | Qiao Y.,Tsinghua University | Liu M.,Beijing Tsingsoft Innovation Technology Co. | And 2 more authors.
Dianwang Jishu/Power System Technology

Nowadays wind power forecast is widely carried out at large grid-connected wind farms in China. There is significant gap between current operation scheme of wind power forecasting systems (WPFSs) and practical application requirements because of disadvantages in on-site situations, such as unstable forecasting accuracy, poor interaction between system operators and developers and high maintenance costs. A new operation scheme of WPFS based on energy internet was proposed with its theoretical basis, basic concepts and core functions roundly discussed. Forecasting accuracy for single wind farm could be improved with big data based WPFS (BD-WPFS), and WPFS adaptability could be promoted with newly built self-service platform, which allows user-side feedback using multi-communication between forecasting service providers and wind farm operators. Finally, advantages of the new operation scheme were validated with case study based on practical application at a wind farms in Jilin, in terms of a broader view of input data and higher forecasting accuracy. © 2016, Power System Technology Press. All right reserved. Source

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