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《AUTOMATION OF ELECTRIC POWER SYSTEMS》 2000-11
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AGC-IN-ADVANCE BASED ON SUPER-SHORT-ERM LOAD FORECASTING

Gao Zonghe, Ding Qia, Wen Bojian, Yao Jianguo(1. Naming Automation Research institute, Naming 210003. China)(2. Guangdong Electric Power Holding Co Dispatch Center, Guangzhou 510600, China)  
A new automatic generation control (AGC) strategy called AGC--IN-ADVANCE is proposed. It makes traditionalAGC have a predictable capability of making control in advance. The principle is to control generation power changingsimultaneously with the system load variation predicted by super--short--term load forecasting (SSTLF). Based on thesituation of AGC control area, two practical realization methods of this strategy are introduced. One is taking the results ofload forecasting as a regulation component to modify each generation unit's control signal decided by the traditional areacontrol error (ACE), while another is taking that as a basic component for the specified generation units. This approach hasbeen implemented in the EMS of Guangdong Province. It has been shown that it's practical and valid.
【CateGory Index】: TM761
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【References】
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【Co-citations】
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