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考虑出力平滑的风光储协同规划方法

Cooperative Planning Method for Solar-wind-storage Considering Output Smoothing
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摘要 为了平抑可再生能源波动,风、光厂站需强制配备储能系统。但目前储能成本较高且设备利用率偏低,导致配储积极性不高。提出一种协同规划方法,通过多个新能源场站协同规划装机及储能系统,以达到降低投资成本、减少弃风弃光的目的。首先提出了基于小波阈值降噪的新能源出力平滑方法,将平滑后的曲线作为发电计划;其次将各场站合作联盟作为整体,以全寿命周期利润最高、外送通道利用小时数最高以及弃电率最低为目标,考虑设备运行约束、电网考核约束、弃电约束、外送通道约束等,建立风光储协同规划模型,并提出了基于Shapley值的利益分配方法;最后算例分析表明,本文所提方法能够有效降低储能规划成本和弃电率,提高经济效益。 In order to smooth out the fluctuation of renewable energy,wind and light plant stations need to be mandatorily equipped with energy storage systems.However,the current high cost of energy storage and low utilization rate of the equipment lead to low motivation for storage allocation.A collaborative planning method is proposed through the cooperation of multiple new energy stations in planning the installed capacity and energy storage system,in order to achieve the purpose of reducing the investment cost and reducing wind and light abandonment.Firstly,a new energy output smoothing method based on wavelet threshold noise reduction is proposed,and the smoothed curve is used as the power generation plan;Secondly,the cooperative alliance of each field station is taken as a whole,and with the goal of the highest life-cycle profit,the highest utilization hours of the outgoing channel,and the lowest abandonment rate,the collaborative planning model of wind power and energy storage is established by taking into account the constraints of the operation of the equipments,the constraints of the grid examination,the constraints of the abandonment of power,and the constraints of the outgoing channel,and the collaborative planning model based on Shapley's value of interest is proposed.The benefit distribution method based on Shapley's value is proposed.The final example analysis shows that the proposed method can effectively reduce the cost of energy storage planning and power abandonment rate,and improve the economic benefits.
作者 刘振 吴秀山 周昭民 马山川 郭泓霏 王永利 LIU Zhen;WU Xiushan;ZHOU Zhaomin;MA Shanchuan;GUO hongfei;WANG Yongli(Power China Renewable Energy Co.,Ltd.,Beijing 100029,China;Faculty of Economic and Management,North China Electric Power University,Beijing 102206,China)
出处 《智慧电力》 北大核心 2024年第9期25-32,79,共9页 Smart Power
基金 国家自然科学基金资助项目(72371101) 中电建新能源集团股份有限公司科技项目(2024-003)。
关键词 风光储 小波降噪 协同规划 SHAPLEY值 solar-wind-storage wavelet denoising collaborative planning Shapley value
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