首页|计及风光出力相关性的风光水储互补系统优化调度

计及风光出力相关性的风光水储互补系统优化调度

扫码查看
由于风电、光电及水电出力均具有随机性、波动性等特点,其大规模投入电网所带来的不确定性成为目前多能互补系统研究的难点.对此,构建了以抽蓄电站为储能装置的风光水储互补系统,为充分考虑风光出力的不确定性与相关性,采用Frank-Copula联合概率分布函数生成风光出力场景;在水电站丰平枯时期不同出力特性下综合考虑系统各约束,以互补系统出力波动性最小为目标建立优化调度模型,并采用遗传算法进行求解;最后通过算例分析验证了所提模型的有效性,结果显示在引入抽水蓄能电站后,系统的波动性都有所降低,其中丰水期降低了12.65%,平水期降低了15.79%,枯水期降低了24.26%,这表明风光水储互补系统可以减少风电、光伏发电及水电的波动性对电网的影响.
Optimal Scheduling of Wind-Solar-Water-Storage Complementary System Considering the Correlation of Wind-Solar Output
Due to the randomness and volatility of wind power,photovoltaic output and hydropower output,the un-certainty caused by its large-scale investment in the power grid has become a difficult point in the research of multi-energy complementary system.This paper constructs a wind-solar-water-storage complementary system with pumped storage power station as energy storage device.To fully consider the uncertainty and correlation of wind power and photovoltaic output,a Frank-Copula joint probability distribution function was used to generate typical scenario of wind power and photovoltaic output.Under the different output characteristics of the hydropower station in the wet,flat and dry period,the constraints of the system were comprehensively considered,and the optimal dispatching model was established with the goal of minimizing the output fluctuation of the complementary system,and the genetic algorithm was used to solve the model.Finally,the effectiveness of the model was verified by a numerical example.The results show that the volatili-ty of the system is reduced after the introduction of pumped storage power station,in which the volatility of the system is reduced by 12.65%in the flood period,reduced by 15.79%in flat water period,and reduced by 24.26%in dry period,indicating that the wind-solar-water-storage complementary system can reduce the influence of wind power,photovoltaic power generation and hydropower fluctuation on the power grid.

wind-solar-water-storage complementary systemFrank-Copulapumped storage power stationgenetic algorithmoptimal dispatching

惠振国、艾澜、常鹏霞、石家康、朱甜、李超顺

展开 >

湖北白莲河抽水蓄能有限公司,湖北 黄冈 438600

华中科技大学土木与水利工程学院,湖北 武汉 430074

风光水储互补系统 Frank-Copula 抽水蓄能电站 遗传算法 优化调度

国网新源集团有限公司科技项目

SGXYKJ-2022-027

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(8)
  • 4