Research on low-carbon power planning with gas turbine units based on carbon transactions
| Autor: | Wang Sixian, Zhang Yuanmei, Feng Shunqiang, Shi Shengyao, Zhang Dachi, Lu Yu, Xing Wenyang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Software_GENERAL
Computer science business.industry 0211 other engineering and technologies chemistry.chemical_element 02 engineering and technology Low-carbon economy 010501 environmental sciences 01 natural sciences Automotive engineering Environmental sciences Electric power system Electricity generation chemistry Natural gas Low-carbon emission Hardware_INTEGRATEDCIRCUITS GE1-350 021108 energy business Low-carbon power Gas generator Carbon 0105 earth and related environmental sciences |
| Zdroj: | E3S Web of Conferences, Vol 252, p 03060 (2021) |
| ISSN: | 2267-1242 |
| DOI: | 10.1051/e3sconf/202125203060 |
| Popis: | In the context of low carbon economy, introducing carbon trading and developing low-carbon energy generation is an important means to realize low-carbon development of the power system. Because gas power generation has the advantages of high efficiency, low carbon emission and strong peak load capability, the gas generator unit is added to the planning plan and a low carbon power planning model based on carbon trading is established. The goal of the model is to minimize the cost of the system integration. The cost includes investment operation cost and carbon transaction cost. And the natural gas supply constraints and carbon trading constraints are increased in the constraint condition. Finally, the discrete bacterial colony chemotaxis algorithm is adopted to solve this model. Through the model comparison and sensitivity analysis, it is concluded that the addition of gas turbine unit and carbon trading mechanism can optimize the power supply structure, promote the construction of low carbon unit. and realize the conclusion of low carbon emission reduction of power system. And the results verify the effectiveness of the proposed power planning model. |
| Databáze: | OpenAIRE |
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