Complementarity Analysis of Potential Floating Photovoltaics and Exiting Hydropower Assets: Dataset, Matrics, and Optimization Method

Introduction This dataset provides the daily, monthly, and annual complementarity between floating photovoltaics (FPV) and hydropower for select locations in the United States. The metrics used are the stability coefficient and Pearsons coefficient. An optimization using the generic algorithm provides the optimal capacity for theoretical FPV sites to achieve the maximum stability in the combined generation with hydropower. Prerequisite https://github.com/DOI-USGS/dataretrieval-pythonhttps://pypi.org/project/pvlib/https://github.com/IdahoLabResearch/HydroGeneratehttps://pypi.org/project/scipy/https://pypi.org/project/geneticalgorithm/ To run the code To run the code, please unzip "Data.zip" and "Metrics.zip" files to the same root as other jupyter notebooks first. One can follow all jupyter notebooks from 1 to 5 for the whole process of complementarity analysis in the study. That is, 1. determine sites analyzed; 2. fetch USGS discharge data and post-processing the dataset obtained; 3. estimate floating PV and hydropower generation profile for analyzed sites and years; and 5. use generic algorithm (GA) to optimize FPV nameplate capacity by maximizing the stability coefficient. One can also run specific script based on requirement. All orginal and generated datasets can be also find in "Data (Generateed Files).zip" and "Metrics (Generated Files).zip". Authors Coder: Jingyi Yan ([e-mail]/[e-mail])Supervisor: Juan Felipe Gallego Calderon ([e-mail])Mucun Sun ([e-mail])Location: Idaho National Laboratory (INL)Contribution: Tyler B Phillips from Idaho National Laboratory (INL) ([e-mail])Carly Hansen from Oak Ridge National Laboratory (ORNL) ([e-mail]) Marie Rivers ([e-mail]) and Evan Rosenlieb ([e-mail]) from National Laboratory of the Rockies (NLR) Publication J. Yan, J. Gallego-Calderon, M. Sun, T. Phillips and C. Hansen, "Optimal Complementarity Analysis of Potential Floating Solar Co-Located With Existing Hydropower Assets Across the Contiguous United States," in IEEE Open Access Journal of Power and Energy, vol. 12, pp. 751-762, 2025, doi: 10.1109/OAJPE.2025.3619445.### 数据集简介 本数据集针对美国境内选定区域，提供了浮动光伏（floating photovoltaics, FPV）与水电之间的日、月、年尺度互补性分析结果。本研究采用的评价指标为稳定性系数与皮尔逊相关系数。通过遗传算法开展优化计算，可得到理论浮动光伏场站的最优装机容量，使其与水电联合发电的稳定性达到最高。 ### 前置依赖 https://github.com/DOI-USGS/dataretrieval-pythonhttps://pypi.org/project/pvlib/https://github.com/IdahoLabResearch/HydroGeneratehttps://pypi.org/project/scipy/https://pypi.org/project/geneticalgorithm/ ### 代码运行指南 若要运行本代码，请先将"Data.zip"与"Metrics.zip"解压至与其他Jupyter笔记本相同的根目录下。用户可按顺序运行1至5号Jupyter笔记本，完成本研究中互补性分析的完整流程，具体步骤如下：1. 确定待分析的研究站点；2. 获取美国地质调查局（USGS）的径流数据并对所得数据集进行后处理；3. 估算待分析站点及对应年份的浮动光伏与水电发电曲线；5. 通过遗传算法（GA）最大化稳定性系数，以优化浮动光伏的额定装机容量。用户也可根据实际需求运行特定脚本。 所有原始及生成的数据集均可在"Data (Generateed Files).zip"与"Metrics (Generated Files).zip"中获取。 ### 作者信息 代码编写：严靖怡（[e-mail] / [e-mail]） 指导教师：胡安·费利佩·加列戈·卡尔德隆（[e-mail]）、孙沐村（[e-mail]） 所属机构：爱达荷国家实验室（Idaho National Laboratory, INL） 贡献人员：爱达荷国家实验室（INL）的泰勒·B·菲利普斯（[e-mail]）；橡树岭国家实验室（Oak Ridge National Laboratory, ORNL）的卡莉·汉森（[e-mail]）；落基山国家实验室（National Laboratory of the Rockies, NLR）的玛丽·里弗斯（[e-mail]）与埃文·罗森利布（[e-mail]） ### 发表文献 严靖怡、胡安·费利佩·加列戈-卡尔德隆、孙沐村、泰勒·B·菲利普斯与卡莉·汉森，《美国本土范围内与现有水电设施共址的潜在浮动光伏最优互补性分析》，发表于《IEEE开放获取电力与能源期刊》（IEEE Open Access Journal of Power and Energy），第12卷，第751-762页，2025年，DOI：10.1109/OAJPE.2025.3619445。