Two-stage optimization scheduling method considering low carbon property of source load and CCGP
According to the two-stage optimization scheduling method considering the low carbon property of the source load and the CCGP, the problem of global information mismatching caused by high carbon emission of a thermal power generating unit and a source load prediction error is solved under the low-ca...
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| creator | WANG ZHIYONG MA LAN CUI CHUANSHI XIE LIRONG LI JINWEI BIAN YIFAN ZHANG PANZHAO |
| description | According to the two-stage optimization scheduling method considering the low carbon property of the source load and the CCGP, the problem of global information mismatching caused by high carbon emission of a thermal power generating unit and a source load prediction error is solved under the low-carbon economic background, and a two-stage scheduling model considering the low carbon property of the source load and the CCGP is provided. Firstly, in the planning stage, low-carbon economy and safety of source loads are considered, and a scheduling model considering carbon transaction and uncertain source loads after demand response is established. And then, in an adjustment stage, considering the influence of mismatching of prediction information and an excitation type load, and optimizing real-time output by minimizing an output adjustment deviation. And finally, converting the model through a deterministic equivalence theory, and verifying the model in the improved IEEE30 node system. The result shows that the |
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| subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
| title | Two-stage optimization scheduling method considering low carbon property of source load and CCGP |
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