| 引用本文: | 欧阳金鑫,李梦阳,唐挺,胡鑫,龙晓轩.含电转气的电-气互联系统风机失效的风险调度模型[J].电力自动化设备,2020,40(7): |
| OUYANG Jinxin,LI Mengyang,TANG Ting,HU Xin,LONG Xiaoxuan.Risk scheduling model of wind turbine failure in integrated electricity and natural gas system with power-to-gas[J].Electric Power Automation Equipment,2020,40(7): |
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| 摘要: |
| 基于燃气机组和电转气(P2G)装置的含风力发电的电-气互联系统正快速发展，电网故障和机组自身故障造成的风电机组失效给互联系统的安全运行带来了较大的风险。目前，关于电-气互联系统的运行调度较少计及系统存在的风险，而燃气轮机和P2G装置的控制策略给系统风险带来的影响不可忽略，独立电力系统中的调度方法难以直接应用于电-气互联系统。为此，基于电-气互联系统的运行特性及风机失效风险，建立了考虑P2G的电-气互联系统的风机失效风险指标，并基于该指标建立了以风机失效风险最小、燃煤机组煤耗成本最少的多目标优化调度模型，以权衡系统运行过程中风险与煤耗成本之间的矛盾。算例结果表明，所提的多目标风险调度模型能够有效降低电-气互联系统的运行风险，提高风电的消纳能力。 |
| 关键词: 电-气互联系统 电转气 风险调度 风力发电 风机失效 |
| DOI：10.16081/j.epae.202006032 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51877018)；重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0321) |
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| Risk scheduling model of wind turbine failure in integrated electricity and natural gas system with power-to-gas |
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OUYANG Jinxin1, LI Mengyang1,2, TANG Ting3, HU Xin1, LONG Xiaoxuan1
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1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China;2.Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620, China;3.Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080, China
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| Abstract: |
| The integrated electricity and natural gas system based on P2G(Power-to-Gas) devices and gas-burning units with wind power generation is developing rapidly. The failure of wind turbines brings great risk to the safe operation of integrated system. At present, the operation and scheduling of the integrated electricity and natural gas system fails to take system risk into account, while the influences of control strategies for gas-burning units and P2G devices on the system risk cannot be ignored. The scheduling methods in independent power system cannot be directly applied to the integrated system. Therefore, based on the operating characteristics of the integrated electricity and natural gas system and the risk of wind turbine failure, a risk indicator of wind turbine failure considering P2G devices is established. Based on this risk indicator, a multi-objective optimal scheduling model with the minimum wind turbine failure risk and the minimum coal consumption cost of coal-burning units is established to solve the contradiction between risk and coal consumption cost during the system operation. The case results show that the pro-posed multi-objective risk scheduling model can effectively reduce the operation risk of the integrated elec-tricity and natural gas system and improve the capacity of wind power consumption. |
| Key words: integrated electricity and natural gas system power-to-gas risk scheduling wind power wind turbine failure |
