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Zhou L.,Chongqing University | Zeng Y.,Chongqing University | Guo K.,Chongqing University | Zhang Y.-Y.,Fujian Electric Power Dispatching Center | And 2 more authors.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2012

Nowadays power systems have higher demand on power quality, and the photovoltaic (PV) grid-connected system usually operates in low utilization due to the characteristics of intermittency and uncertainty, therefore, improving the utilization rate of PV grid-connected system and power quality of grid power system attracts wide attention. This paper outlines the development background and significance of power quality regulatory function in the PV grid-connected system, and summarizes the effect of PV grid-connected system on grid power quality. It concludes the methods to suppress harmonics and improve voltage profile according to different control methods and structures. The characteristics and application ranges of different methods are analyzed with examples and simulations. Then the main aspects, such as weather circumstances, load condition, real capacity, regulatory objects, system types, economic cost, etc. are proposed. Finally, the existing problems of the PV grid-connected system with power quality regulatory function are pointed out and its study direction in the future is also looked ahead. Source


Lin J.,Fujian Electric Power Dispatching Center | Mi W.,China Electric Power Research Institute | Ye F.,China Electric Power Research Institute | Jiang G.,China Electric Power Research Institute | And 2 more authors.
Dianwang Jishu/Power System Technology | Year: 2011

Distributed integration modeling technique is one of core technologies of intelligent dispatching. Based on the principles of source maintenance and global sharing, this technique implements trans-layer and trans-region distributed integration modeling. The issues such as verification of power network model, maintenance of model boundary and so on, which occur during the application of distributed integration modeling, are analyzed and solutions for these issue are given. An effective method to verify power network model is put forward to ensure the correctness of the source model; an intelligent method to maintain model boundary is proposed, thus the cumbersome maintenance of model boundary is thoroughly resolved; a concrete approach for integrated online synchronization is given, thus the problem of submitting graphics, data and model into online system without disturbance is solved. Solutions of these issues are the perfection and supplement to distributed integration modeling for smart grid. Source


Cheng C.-T.,Dalian University of Technology | Liao S.-L.,Dalian University of Technology | Wu X.-Y.,Dalian University of Technology | Zhang S.-Q.,Fujian Electric Power Dispatching Center
Shuili Xuebao/Journal of Hydraulic Engineering | Year: 2010

A spatio-temporal resolution to solve the optimal operation problem of complex inter-basin hydropower systems based on analyzing the existing optimal operation technologies and using computer science and artificial intelligence is suggested. The resolution includes directed-graph technology to describe the topology of cascade hydropower stations, smart memory and script control technology to set the restrictions automatically, interface programming and the same model in MVC to handle the linkage between table and chart and multi-reservoir operation. The mid-long term runoff prediction systems, long-medium-short term optimal operation systems and real-time operation systems in power grids of the Fujian Province, Yunnan Province and Guizhou Province, which adopting these technologies, have been applied successfully. Source


Lin C.-W.,Fujian Electric Power Survey and Design Institute | Zhuo Z.-J.,Fujian Electric Power Dispatching Center | Zhou J.,Fujian Electric Power Survey and Design Institute | Liu Z.-W.,Fujian Electric Power Survey and Design Institute | Lin D.-Y.,Fujian Electric Power Survey and Design Institute
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2010

Aiming at the technical difficulties of modifying setting value without blackout, this paper brings forward detailed solutions. Through analyzing the equipment situation of Fujian power grid, it compares several programs for remote verification and modification of the setting value without blackout, then recommends utilizing substation computer monitoring system to realize remote verifying and modifying setting value. In addition, it introduces main function, detailed process, equipment configuration and security measures of the remote modification and verification system of the setting value. Source


Zhang J.,Hangzhou Electric Power | Zhang J.,Dalian University of Technology | Wu Z.,Hangzhou Electric Power | Cheng C.-T.,Dalian University of Technology | Zhang S.-Q.,Fujian Electric Power Dispatching Center
Water Science and Engineering | Year: 2011

In this paper, a hybrid improved particle swarm optimization (IPSO) algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization (PSO) algorithm is improved in two ways: (1) The linearly decreasing inertia weight coefficient (LDIWC) is replaced by a self-adaptive exponential inertia weight coefficient (SEIWC), which could make the PSO algorithm more balanceable and more effective in both global and local searches. (2) The crossover and mutation idea inspired by the genetic algorithm (GA) is imported into the particle updating method to enhance the diversity of populations. The potential ability of IPSO in nonlinear numerical function optimization was first tested with three classical benchmark functions. Then, a long-term multi-reservoir system operation model based on IPSO was designed and a case study was carried out in the Minjiang Basin in China, where there is a power system consisting of 26 hydroelectric power plants. The scheduling results of the IPSO algorithm were found to outperform PSO and to be comparable with the results of the dynamic programming successive approximation (DPSA) algorithm. Copyright © 2011 Editorial Office of Water Science and Engineering. Source

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