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Cross Provincial and Cross Regional Spot Market Clearance Model Considering Total Output Control based on Big Data Analysis Technology

Baorui Cai3BeijingZiyu Chen3BeijingQinbiao Lin1Power Dispatching and Control Center , China Southern Power Grid Co.,LTD. Huangpu District , Guangzhou , China, 510700Yihong Deng1Power Dispatching and Control Center , China Southern Power Grid Co.,LTD. Huangpu District , Guangzhou , China, 510700Yanjie Liang1Power Dispatching and Control Center , China Southern Power Grid Co.,LTD. Huangpu District , Guangzhou , China, 510700Bo Zhao2HYDROLANCANG ENERGY SALES CO.,LTD. Guandu District , Kunming , 650214
2024en
ABI

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The article analyzes existing cross-provincial and cross-regional electricity spot market clearing models.Then, aiming to minimize total generation cost and cross-provincial transmission cost, a clearing model for cross-provincial and cross-regional electricity spot markets is established.By integrating computer technology, big data analysis, and automation mechanical technology, a generation dispatching and transmission optimization strategy based on electricity market demand is proposed.The results show that: 1) With the total power control lower limit constraint, the clearing model can optimize the inter-provincial power transmission curve as much as possible to ensure positive inter-provincial imbalance.Combined with automation mechanical technology, real-time monitoring and dispatching of power transmission can be achieved, enhancing power transmission efficiency.Computers and big data can also be used for indepth analysis and prediction of power transmission needs.2) When the contracted electricity volume is the same, the curve shape has a limited impact on power return.Automation mechanical technology enables rapid collection and analysis of electricity market data, further optimizing the electricity spot market clearing model.Computers can process and store large amounts of data for more accurate analysis.3) When the electricity price difference between Yunnan and Guangdong is negative, the lower the long-term contract electricity price, the higher the sender's return.Big data analysis can help identify price trends and optimize decision-making.

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