讲座人：Dr. Yingzhong Gu (顾颖中 博士)
讲座时间：2018年5月25日下午 2:00-3:30 (含研讨）
讲座地点：二教南楼228会议室
讲座摘要：大规模电力系统经济规划中的大数据分析
Big Data Analytics in Large Scale Power System Economic Planning
Power system economic planning is a core part of a comprehensive power system planning process, which not only considers the needs for reliability, public policy and resource adequacy but also it well addresses the long-term needs for a more economical and efficient power grid operation. The power system economic planning, using production simulation tool, evaluate the current and future state of bulk power grid and the economic impact of various projects to reduce the overall operation cost in the long run. The presenter has rich experience in conducting various power system economic planning studies including renewable integration studies, market efficiency evaluation studies, transmission planning studies, and congestion assessment studies, etc. One of the major challenge of power system economic planning is to conduct long-term (i.e. 20-30 years) production simulation for large scale power systems. The big data analytics technology is a key to facilitate the state-of-the-art power system economic planning. This presentation introduces some major efforts toward this new era.
Dr. Yingzhong Gu (顾颖中 博士）
Big Data Analytics in Large Scale Power System Economic Planning
Power system economic planning is a core part of a comprehensive power system planning process, which not only considers the needs for reliability, public policy and resource adequacy but also it well addresses the long-term needs for a more economical and efficient power grid operation. The power system economic planning, using production simulation tool, evaluate the current and future state of bulk power grid and the economic impact of various projects to reduce the overall operation cost in the long run. The presenter has rich experience in conducting various power system economic planning studies including renewable integration studies, market efficiency evaluation studies, transmission planning studies, and congestion assessment studies, etc. One of the major challenge of power system economic planning is to conduct long-term (i.e. 20-30 years) production simulation for large scale power systems. The big data analytics technology is a key to facilitate the state-of-the-art power system economic planning. This presentation introduces some major efforts toward this new era.
Dr. Yingzhong Gu (顾颖中 博士）Development Lead, GE Energy Consulting, General Electric Inc., Schenectady, New York, United States.
Senior Vice President, North American Chinese Power Professional Association (NACPPA)