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电力市场环境下风电-光热-生物质混合电站鲁棒优化调度模型
引用本文:臧海祥,马铭欣,周亦洲,夏倩倩,孙国强,卫志农.电力市场环境下风电-光热-生物质混合电站鲁棒优化调度模型[J].电力系统保护与控制,2022,50(5):1-11.
作者姓名:臧海祥  马铭欣  周亦洲  夏倩倩  孙国强  卫志农
作者单位:河海大学能源与电气学院,江苏南京 211100
摘    要:以风电场、光热电站、生物质锅炉等组成混合电站并参与到电力市场中,能有效提高整体的运营收益.为解决混合电站参与电力市场运行问题,从混合电站的结构及运行机理出发,提出了电力市场下风电-光热-生物质混合电站鲁棒优化调度模型.该模型以最大化运行利润为目标函数,考虑了混合电站参与电力市场所获收益、并网运行环境效益、弃风弃光惩罚成...

关 键 词:混合电站  鲁棒优化  风险量化指标  优化调度  电力市场
收稿时间:2021/7/12 0:00:00
修稿时间:2021/9/25 0:00:00

Robust optimal scheduling model for a 'wind power-concentrating solar power-biomass' hybrid power plant in the electricity market
ZANG Haixiang,MA Mingxin,ZHOU Yizhou,XIA Qianqian,SUN Guoqiang,WEI Zhinong.Robust optimal scheduling model for a 'wind power-concentrating solar power-biomass' hybrid power plant in the electricity market[J].Power System Protection and Control,2022,50(5):1-11.
Authors:ZANG Haixiang  MA Mingxin  ZHOU Yizhou  XIA Qianqian  SUN Guoqiang  WEI Zhinong
Affiliation:College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Abstract:A hybrid power plant composed of wind farm, concentrating solar power station and biomass boiler can effectively improve overall operating income while participating in the power market. The study focuses on the integration of the hybrid power plant in the electricity market. A robust optimal scheduling model for wind power-concentrating solar power-biomass hybrid power plant is proposed based on the structure and operation mechanism of the plant. The model takes maximizing operating profit as the objective function, and considers the benefits of hybrid power plant participating in the power market, the environmental benefits of parallel operation, the penalty costs of wind abandonment and solar abandonment, the operating and maintenance costs of each component, and the system operation constraints. Given the uncertainty faced by a hybrid power plant and the risks that it entails, a robust optimization approach is used to deal with the uncertainties brought by the wind power, concentrating solar power, load, and electricity market prices. In addition, a risk index system is presented to balance the robustness and economy of the system. This provides a decision-making basis for hybrid power plant operators. The numerical examples verify the effectiveness of the proposed model and method. This work is supported by the National Natural Science Foundation of China (No. 52077060).
Keywords:hybrid power plant  robust optimization  quantitative risk index  optimal scheduling  electricity market
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