| 摘要: |
| 油田的电力供应主要来源于自备电厂,随着油田电网大规模光伏发电的接入,针对自备热电厂收益降低和绿色配额约束的问题,引入绿证交易和发电权交易,以油田为全局、以自备热电厂为局部,制定两级优化策略。考虑双方收益均衡问题,基于博弈理论,建立油田全局供电博弈模型,针对自备热电厂内部优化问题,计及可行性约束、技术性约束和政策性约束,建立自备热电厂机组出力优化模型。利用教与学优化算法求解模型,得到自备热电厂与光伏博弈均衡解和热电厂最优机组组合出力。结果表明:考虑绿证交易和发电权交易的两级优化均衡了热电厂及光伏的利益,提高了自备热电厂的效益,在满足绿色配额约束下,减轻了政府可再生能源补贴压力,提高了社会的全局效益。 |
| 关键词: 光伏发电 绿证交易 发电权交易 机组出力优化 教与学优化 |
| DOI：10.3969/j.issn.1673-5005.2019.01.018 |
| 分类号::TM 62 |
| 文献标识码:A |
| 基金项目:国家重点研发计划(2018YFB0904800) |
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| Two-level optimal dispatch of power system with photovoltaic power generation based on green certificate trading and generation rights trading |
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WANG Yansong, SONG Yangyang, ZONG Xueying
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(College of Information and Control Engineering in China University of Petroleum(East China), Qingdao 266580, China)
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| Abstract: |
| The power supply of oil field is mainly from its own off-gird thermoelectric power plant. With the access of large-scale photovoltaic power generation into oil field power grid, green certificate trading and generation rights trading usually lead to problems such as low revenue and green quota restrictions. A two-level optimization strategy, in which the oil field is at the first level and the local thermoelectric plant the second level, is proposed. Considering the revenue balance between the two levels, a game model of power supply for oilfield is established based on game theory between the thermoelectric plant and photovoltaic power producer. In view of the internal optimization problem of the thermoelectric plant, and taking into account the feasibility, technical and policy constraints, a optimization model for the thermoelectric plant unit output is established. Using the teaching and learning optimization algorithm to solve the model, game equilibrium solution between thermoelectric and photovoltaic, and optimal unit commitment of the thermoelectric plant can be achieved. The example analysis shows that the two-level optimal dispatch, which considers green certificate trading and power generation trading, balances the benefits of the thermoelectric and the photovoltaic plants, and improves the efficiency of the thermoelectric plant. Under the pressure of green quota, this also leads to significant reduction in government 's renewable energy subsidies, and improvement of overall social benefit. |
| Key words: photovoltaic power generation green certificate trading generation rights trading unit commitment optimization teaching-learning-based optimization |
