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作 者:张玮 郭怿 黄康迪 田露[2] 刘志武 明波[2] ZHANG Wei;GUO Yi;HUANG Kang-di;TIAN Lu;LIU Zhi-wu;MING Bo(Science and Technology Research Institute,China Three Gorges Corporation,Beijing 101199,China;State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi’an University of Technology,Xi’an 710048,China)
机构地区:[1]中国长江三峡集团有限公司科学技术研究院,北京101199 [2]西安理工大学西北旱区生态水利国家重点实验室,陕西西安710048
出 处:《水电能源科学》2024年第5期207-211,216,共6页Water Resources and Power
基 金:国家自然科学基金项目(52109011,52009098);中国长江三峡集团有限公司科研项目(WWKY-2021-0425)。
摘 要:随着包含多直流外送通道的水风光一体化系统的开发,兼顾风、光出力不确定性与复杂的水力、电力联系,制定系统日前发电计划,是当前水风光互补调度的难点。对此,通过建立适用于多直流外送消纳的水风光一体化日前风险调度模型,并针对模型的约束特征,提出了复杂模型降维求解方法。以金沙江下游清洁能源基地为实例,研究结果表明,降维求解方法能够大幅缩减模型决策变量个数,提高模型求解效率;制定的发电计划能够有效保证输电平稳性,发挥系统调峰性能;对比确定性模型,系统运行风险降低了52.7%,提高了系统运行的可靠性。With the development of hydro-wind-solar integrated systems including multiple DC delivery channels,how to formulate their day-ahead power generation schedules considering the uncertainties of wind and solar power and complex hydraulic and electric connections is a difficulty in hydro-wind-solar complementary operation.In this study,a day-ahead risk scheduling model of hydro-wind-solar integrated systems applying to multiple DC power delivery is estab-lished.According to the constraint characteristics of this model,a dimension reduction solving method is proposed.The clean energy base in the lower reaches of the Jinshajiang River is selected as a case study.The results indicate that the di-mension reduction solving method can greatly reduce the number of decision variables,and improve the solving efficiency.The formulated power generation schedule can ensure the steadiness of delivered power,and give full play to the peak-shaving performance of the system.Compared with deterministic model,the operational risk of the system decreases by 52.7%,and its reliability can be also improved.
关 键 词:多能互补系统 风险调度 日前发电计划 特高压直流输电
分 类 号:TM61[电气工程—电力系统及自动化]
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