Japan Long-Term Research Visit: Techniques for Evaluating the Impact of Demand Side Management in the Japanese Electric Utility Industry

日本长期考察访问：评估日本电力行业需求侧管理影响的技术

• 批准号: 9201904
• 负责人: Saifur Rahman
• 金额: $ 11.82万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1994-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9201904&HistoricalAwards=false
• 关键词: Japan; Long; Term; Research; Visit

This award will support a ten month long-term visit by Professor Saifur Rahman, Department of Electrical Engineering, Virginia Polytechnic Institute, to Japan for a cooperative research project with researchers at the Tokyo Electric Power Company, (TEPCO). His co-hosts will be Mr. Toshiaki Ohashi, AI Technology Department, Computer and Communication Research Center and Mr. Akira Maeda, Technology Research Group, Research and Development Planning Department. The research will include a study of the techniques for evaluating the impact of demand side management (DSM) in the Japanese Electric Utility Industry. They will be dealing with the modeling of uncertainty related to demand side management activities. These uncertainties originate from the unknown customer response to the DSM programs, and their willingness or unwillingness to maintain interest in the program under less than ideal conditions. An attempt will be made to model such uncertainty using the "pairwise comparison" technique that Professor Rahman has applied in other fields of electric power engineering. Once such quantitative measures of uncertainty are available, they will be applied to a generation expansion model to examine the impacts of DSM on capacity needs. A new technique to model the load duration curve will be investigated which will facilitate the representation of DSM impacts on peak load, load factor and energy consumption. This will provide an analytical method to study the impact of DSM on capacity requirements. In the past, iterative methods have been applied to study these impacts. An analytical method would result in faster solutions with higher accuracy. The research has a comparative value and should also provide a potential methodology with which to evaluate DSM programs prior to their initiation. The research may also result in useful analytical techniques that are fundamentally different from presently used demand management evaluation methods. Professor Rahman is knowledgeable in a wide- range of topics related to power systems engineering. He is well-published in the area of power systems planning and is familiar with the power industry in Japan. TEPCO is the largest electric utility in Japan, and it is the largest privately owned power company in the world. It serves 22 million customers with a peak demand of approximately 50,000 MW making it an ideal utility in which to carry out direct load control studies. A successful development of the proposed methodology could be used to evaluate the impact of some new DSM programs in the U.S. electric utility industry. It is expected that this collaborative effort between the researchers will continue even after the formal agreement has terminated. It is also expected that a number of publications will result from the project.

该奖项将支持弗吉尼亚理工学院电气工程系 Saifur Ra​​hman 教授对日本进行为期十个月的长期访问，与东京电力公司 (TEPCO) 的研究人员开展合作研究项目。 计算机与通信研究中心人工智能技术部的 Toshiaki Ohashi 先生和研发规划部技术研究组的 Akira Maeda 先生将担任共同主持人。 该研究将包括评估日本电力行业需求侧管理（DSM）影响的技术。 他们将处理与需求方管理活动相关的不确定性建模。 这些不确定性源于未知的客户对 DSM 计划的反应，以及他们是否愿意或不愿意在不太理想的条件下保持对该计划的兴趣。 我们将尝试使用拉赫曼教授在电力工程其他领域应用的“成对比较”技术来模拟这种不确定性。 一旦获得此类不确定性的定量衡量标准，它们将应用于发电扩展模型，以检查需求侧管理对容量需求的影响。 将研究一种对负载持续时间曲线进行建模的新技术，这将有助于表示 DSM 对峰值负载、负载系数和能源消耗的影响。 这将为研究 DSM 对容量需求的影响提供一种分析方法。 过去，已采用迭代方法来研究这些影响。 分析方法会产生更快、更高精度的解决方案。 该研究具有比较价值，还应该提供一种潜在的方法，用于在 DSM 项目启动之前对其进行评估。 该研究还可能产生与目前使用的需求管理评估方法根本不同的有用的分析技术。 Rahman 教授在电力系统工程相关的广泛主题上拥有丰富的知识。 他在电力系统规划领域发表了大量著作，并且熟悉日本电力行业。 东京电力是日本最大的电力公司，也是世界上最大的私营电力公司。 它为 2200 万客户提供服务，峰值需求约为 50,000 MW，使其成为进行直接负荷控制研究的理想公用事业。 所提出的方法的成功开发可用于评估一些新的 DSM 计划对美国电力行业的影响。 预计即使在正式协议终止后，研究人员之间的合作仍将继续。 预计该项目还将产生一些出版物。