CAREER: Stochastic Multiple Time-Scale Co-Optimized Resource Planning of Future Power Systems with Renewable Generation, Demand Response, and Energy Storage

该PI将开发协同优化的发电，输电和DR规划解决方案，以科普可再生能源发电（RG）和需求响应（DR）的短期变化性和不确定性以及储能（ES）和发电机的每小时运行细节的影响。 该方法是（1）提出一个随机多时间尺度协同优化规划模型，明确地将短期的可变性和不确定性以及按小时顺序的操作集成到长期规划中;（2）开发有效的解决方法并在高性能并行计算设施上实现。将量化长期规划和逐时运行的可变性，不确定性和约束之间的相互作用，以提高具有显著RG，DR，和ES。 该研究可用于评估可变能源的有效承载能力（ELCC），并研究能源生产和存储技术组合的政策。 这项研究具有实际意义，因为RG，DR和ES正在全球范围内实施，它们对能源安全和可持续性的独特贡献需要很好地理解。 更广泛的影响：该项目对RG，DR，ES和智能电网的合理部署产生了深远的影响。例如，它允许更好地处理需要同时传输和发电的投资选项，以便利用风能或太阳能的有利位置。研究和教育成果将有助于教育工程师应对安全和可持续电力基础设施的挑战。 该项目将提高公众对电力系统规划复杂性的认识和理解，并吸引对电力系统研究和教育感兴趣的研究人员和教育工作者。

This PI will develop co-optimized generation, transmission, and DR planning solutions to cope with the impacts of short-term variability and uncertainty of renewable generation (RG) and demand response (DR) as well as hourly chronological operation details of energy storage (ES) and generators. The approach is to (1) propose a stochastic multiple time-scale co-optimized planning model that explicitly integrates short-term variability and uncertainty as well as hourly chronological operation into long-term planning; (2) develop efficient solution methodologies and implement on high performance parallel computing facilities.Intellectual Merit: The interaction among variability, uncertainty, and constraints from long-term planning and hourly chronological operation will be quantified for enhancing security and sustainability of power systems with significant RG, DR, and ES. This research can be used to evaluate effective load carrying capability (ELCC) of variable energy sources, and to study policies on portfolios of energy production and storage techniques. This study is of practical importance since RG, DR, and ES are being implemented worldwide and their distinctive contributions to energy security and sustainability need to be well understood. Broader Impacts: This project has profound impacts on the sound deployment of RG, DR, ES, and smart grid. For example, it allows better treatment of investment options which require transmission and generation together, in order to exploit favorable sites for wind or solar. The research and educational findings would help educate engineers to meet challenges of the secure and sustainable electricity infrastructure. The project will increase public awareness and understanding of the complexity of power system planning, and appeal to researchers and educators with interests in power systems-based research and education.