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. DOI: 10.19783/j.cnki.pspc.210885
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. DOI: 10.19783/j.cnki.pspc.210885
ZANG Hai-xiang, MA Ming-xin, ZHOU Yi-zhou, XIA Qian-qian, SUN Guo-qiang, WEI Zhi-nong. 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. DOI: 10.19783/j.cnki.pspc.210885
Citation: ZANG Hai-xiang, MA Ming-xin, ZHOU Yi-zhou, XIA Qian-qian, SUN Guo-qiang, WEI Zhi-nong. 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. DOI: 10.19783/j.cnki.pspc.210885

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

Robust optimal scheduling model for a ’wind power-concentrating solar power-biomass’ hybrid power plant in the electricity market

  • 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、弃风弃光惩罚成本、各组成部分运行维护成本、系统运行约束等因素。针对混合电站运行面临的不确定性和由此带来的风险问题,采用鲁棒优化方法处理风电功率、光热功率、负荷及电力市场价格的不确定性,并建立风险量化指标,平衡系统的鲁棒性与经济性,为混合电站运营商提供决策依据。算例分析验证了所提模型和方法的有效性。

     

    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.

     

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