雅砻江流域千万千瓦级风、光、水多能互补多级协同智能调度模式与关键技术研究

The construction of a multi-energy complementary base of over 10 million kilowatts of wind, solar and water in the Yalong River Basin is an important exploration for the development of a clean, low-carbon, safe and efficient energy system in China. The existing energy base centralized control scheduling method is difficult to analyze the spatial-temporal multi-scale correlation between renewable energy sources widely distributed along the river basin, and it is difficult to solve the problem of multi-level coordinated scheduling and high-efficiency control between large-scale and multi-type clean energy stations. The project aims to solve the problem of optimal scheduling of basin-type wind-solar-water multi-energy complementary energy bases, and carry out research on intelligent centralized control scheduling mode and key technologies for the multi-energy complement in the Yalong River Basin. The wind power and photovoltaic output characteristics models considering spatial-temporal correlation is established, and the spatial-temporal multi-scale complementary characteristics of wind, solar and water resources in the basin is analyzed; then the multi-level collaborative scheduling key technologies for multi-energy complementary energy bases is proposed, the collaborative scheduling optimization model between intelligent centralized control centers and renewable energy stations is established; finally, a collaborative scheduling and operational mechanism for the complementary development of clean energy in the Yalong River Basin is constructed. The project will make breakthroughs in the intelligent centralized control and dispatching theory of the basin-type clean energy base, and applies it to the construction of the multi-energy complementary clean energy base in the Yalong River Basin to achieve overall optimization and win-win situation of relevant parties, to promote the complementary development of large-scale clean energy in the Yalong River Basin.

雅砻江流域千万千瓦级风光水多能互补基地的建设是我国发展清洁低碳、安全高效的能源体系的重要探索。现有的能源基地集控调度方法难以分析沿流域广泛分布的新能源之间的时空多尺度相关性，难以解决大规模多类型清洁能源场站之间多级协同调度和高效管控的问题。本项目旨在针对流域型风光水多能互补能源基地的优化调度难题，开展面向雅砻江流域风光水多能互补的智能集控调度模式和关键技术研究。建立考虑时空相关性的风电及光伏出力特性模型，分析流域内风光水资源的时空多尺度互补特性；提出多能互补能源基地的多级协同调度关键技术，建立智能集控中心与新能源场站之间的协同调度优化模型；构建雅砻江流域清洁能源多能互补开发的协同调度模式和运行机制。项目将在流域型清洁能源基地智能集控调度理论上有所突破，并将其应用于雅砻江流域多能互补清洁能源基地的建设，实现整体优化和参与相关方的互利共赢，从而切实推进雅砻江流域大规模清洁能源的互补开发。

在保障能源电力系统安全稳定运行的前提下，充分利用多类型可再生能源之间的时空多尺度互补特性，建立高效的多级协同智能调度模式，不仅是大规模沿流域多能互补的可再生能源基地建设的瓶颈问题，也是构建我国“安全高效、清洁低碳”现代能源体系的迫切需求。本项目以雅砻江流域水、风、光多能互补基地为依托，围绕大规模多类型可再生能源场站之间的智能集控协同调度模式和关键技术问题展开研究，在理论创新、新能源消纳和流域型多能互补基地发展方面均具有重要研究价值。主要研究成果包括以下几个方面：1）建立了多类型新能源的多尺度时空相关性模型与出力特性概率模型，为清洁能源协同调度策略的制定和运行机制的构建提供了有效指导；2）构建了多能互补清洁能源基地的多级协同调度优化模型，提出多级协同调度模型的高效求解算法，充分发挥了风光水多能互补优势，提高了流域内的清洁能源消纳量；3）构建了雅砻江流域清洁能源多能互补开发的协同调度模式和运行机制，实现了系统整体优化与参与相关方的互利共赢，保证了多能互补清洁能源基地的高效运行。项目成果突破了以往研究难以分析沿流域广泛分布的新能源之间的时空多尺度相关性，难以实现大规模多类型清洁能源场站之间多级协同调度和高效管控的局限。基于雅砻江流域多能互补系统数据，本项目对面向中长期与短期调度的风光水多能互补效果进行了算例验证，为大规模清洁能源的互补开发提供了技术支撑。.本项目在国内外核心学术刊物发表相关论文5篇，其中SCI检索论文3篇，中文核心期刊2篇；申请国家发明专利6项（已授权3项）；培养博士研究生3名，硕士研究生5名，其中毕业硕士研究生2名。项目执行期间，项目负责人李更丰教授获得2019年陕西省科学技术进步奖一等奖，获得2022年陕西省“三秦学者”创新团队计划支持。