Nanning Power Supply Bureau

Nanning, China

Nanning Power Supply Bureau

Nanning, China
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Huang X.,Nanning Power Supply Bureau | Tao K.,Nanning Power Supply Bureau | Dong X.,China Electric Power Research Institute | Zhang D.,Nanning Power Supply Bureau | Xu X.,NARI Group
China International Conference on Electricity Distribution, CICED | Year: 2016

Based on multi-source data modeling and information integration of power distribution and utilization, outage analysis key technology under different time dimensions is studied. Implementation of several key techniques are also elaborated including consumer outage event alarm and reason analysis, consumer outage statistic and impact access, real-time consumer power recover analysis, consumer power reliability analysis and consumer outage simulation analysis. The study indicates that instant and correct outage information and recover information of consumers can be provided while power dispatching of distribution and utilization can be supported by outage analysis results published based on the unified model and information integration for power distribution and utilization. © 2016 IEEE.


He Y.X.,North China Electrical Power University | Zhang S.L.,Nanning Power Supply Bureau | Zhao Y.S.,North China Electrical Power University | Wang Y.J.,North China Electrical Power University | Li F.R.,University of Bath
Energy Conversion and Management | Year: 2011

To achieve sustainable development of the society, the People's Republic of China (PRC) proposed in its 11th Five-Year Plan for National Economic and Social Development Program a shift in energy-saving target of decreasing energy intensity by 20% in 2010 compared with that of 2005. Liaoning province is one of the oldest industrial bases in China. Policymakers are often confronted with problems relating to adjustment in the development pattern as a means to secure steady economic growth. The power industry is a fundamental energy industry; it plays an important role in realizing of energy-saving targets. Based on the input-output model, this paper sets extensive, planning and 20% energy-saving scenarios in order to analyze energy-saving and power consumption situations for Liaoning by 2010. Through extensive simulations, the levels of energy-saving and power demand under different scenarios are obtained. Results from the analysis show that under the premises of adjusting the ratio of investment and consumption, optimizing products structure, and improving energy use efficiency, it is possible to achieve the proposed energy-saving target. Liaoning's power consumption can maintain a stable growth trend in the future. The percentage of electricity to the total energy use can also increase to 16% in 2010. © 2010 Elsevier Ltd. All rights reserved.


Ouyang J.,Chongqing University | Li S.,State Grid Corporation of China | Xiong X.,Chongqing University | Kuang Z.,Chongqing University | And 3 more authors.
Journal of Computational Information Systems | Year: 2015

The selection of operation mode directly influences the safety, reliability and economy of distribution network. However, the existing distribution network operation mode selection is usually based on dispatchers' experience, lacking scientific decision method, severely limiting the efficiency and management of distribution network operation. Based on load prediction in operation period, a multi-objective coordination model of operation mode of distribution network with minimum electric energy loss, lowest power supply unreliability and minimum voltage offset is customized. With the introduction of the fuzzy comprehensive theory with weighted processing, an evolutionary programming algorithm (EPA) combined with improved random mutation strategy is applied to solve the customization model by searching states of network switches. Simulation results of IEEE33 node distribution system verify the proposed method is effective and correct. Copyright © 2015 Binary Information Press.


Li J.,Nanning Power Supply Bureau | Li S.,Chongqing University of Technology | Ouyang J.,Chongqing University of Technology | Xiong X.,Chongqing University of Technology | And 3 more authors.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2015

In order to realize the coordination of economy and reliability of distribution network operation, a decision method of operation mode for distribution network based on evolutionary programming algorithm (EPA) is put forward. The minimum energy losses are taken as the objective, and the power distribution reliability, power flow balance, voltage amplitude, current offside, radiation and no-islanding are considered as the constraints during the selection of operation mode. The operation mode of distribution network considering multiple constraints is determined through searching the states of switches by using EPA combined with improved random mutation strategy. The example results indicate that an operation mode of distribution network and sufficient power supply reliability can be determined by the proposed method. The method has important significance to decide the operation plan and to improve the normalization of operation and management. © 2015, Power System Protection and Control Press. All right reserved.


Nie X.,Nanning Power Supply Bureau | Liu J.,Nanning Power Supply Bureau | Xuan L.,Nanning Power Supply Bureau | Liang H.,Nanning Power Supply Bureau | And 3 more authors.
Asia-Pacific Power and Energy Engineering Conference, APPEEC | Year: 2013

An online monitoring, analysis, and evaluation system of electric vehicle (EV) charging station is designed and developed. The system structure is based on PCI bus with multi-DSP design, and its hardware consists of multi-DSP acquisition terminal, vehicular terminal, Industrial PC (IPC), FPGA and PCI interface. The voltage and current of the point of common coupling (PCC) of charging station and chargers are collected on real time, and the power quality is calculated based on these data. All monitoring data, which is gathered by PCI bus, is used to analyze the operation characteristic of the transformer and chargers as well as the harmonics and inter-harmonics in the charging station. The start charging time, initial charging state and daily mileage of EVs are statistical on basis of operation and charging information, which are sent to the system via GPRS. © 2013 IEEE.


He Y.X.,North China Electrical Power University | Zhang S.L.,Nanning Power Supply Bureau | Yang L.Y.,North China Electrical Power University | Wang Y.J.,North China Electrical Power University | Wang J.,North China Electrical Power University
Energy Policy | Year: 2010

In recent years, coal price has risen rapidly, which has also brought a sharp increase in the expenditures of thermal power plants in China. Meantime, the power production price and power retail price have not been adjusted accordingly and a large number of thermal power plants have incurred losses. The power industry is a key industry in the national economy. As such, a thorough analysis and evaluation of the economic influence of the electricity price should be conducted before electricity price adjustment is carried out. This paper analyses the influence of coal price adjustment on the electric power industry, and the influence of electricity price adjustment on the macroeconomy in China based on computable general equilibrium models. The conclusions are as follows: (1) a coal price increase causes a rise in the cost of the electric power industry, but the influence gradually descends with increase in coal price; and (2) an electricity price increase has an adverse influence on the total output, Gross Domestic Product (GDP), and the Consumer Price Index (CPI). Electricity price increases have a contractionary effect on economic development and, consequently, electricity price policy making must consequently consider all factors to minimize their adverse influence. © 2010 Elsevier Ltd.

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