Efficient Operation and Control of Power System Networks with Increased DG Penetration

提高 DG 渗透率，实现电力系统网络的高效运行和控制

• 批准号: 0901851
• 负责人: James Momoh
• 金额: $ 30万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0901851&HistoricalAwards=false
• 关键词: Efficient; Operation; Control; Power; System

Efficient Operation and Control of Power System Networks with Increase Distributed Generation PenetrationECCS No: 0901851ABSTRACTThe objective of this research is to develop insight into modeling of Distributed Generation (DG) particularly Renewable Energy Resources for network penetration, incorporating MW and MVAr demand response under load variability; to develop a value based optimization tool for integration of DG interconnection; to develop new performances metrics for evaluation of reliability, efficiency and congestion management of power system . The approach is aimed at developing improved models of DG and loads for grid penetration, Renewable Energy Resources response to demand system and control data approximate and determination of limits as input to overall optimized problems design of performance indices, metrics, and system studies for different scenarios associated with DG for optimum energy of the distribution or sub transmission. Intellectual Merit: The research will use a computational approach to evaluate the impact of DG on network operation. A preferred method of marginal benefits of DG as a function of Location Marginal Price for voltage stability changes will be developed utilizing interior point and integer programming extensions. The robustness of the integrated scheme will be tested on a benchmark system.Broader Impacts: The research will enhance optimization techniques for energy systems, thus improving system efficiency. It will further provide a contribution to the development of the autonomous Smart Grid under increased penetration of DG including alternative energy options. This is of benefit for the Nation's energy security and quality of life. The project will further facilitate training of minority students and have impact on educating the future power and energy workforce.

有效的运行和控制功率系统网络具有增加分布式生成渗透率编号：0901851ABSTRATS本研究的目标是将洞察分布式生成（DG）的建模（尤其是可再生能源资源），特别是用于网络渗透的可再生能源，并在负载可变性下结合了MW和MVAR需求响应；开发基于价值的优化工具，用于集成DG互连；开发新的性能指标，以评估电力系统的可靠性，效率和拥堵管理。该方法旨在开发改进的DG模型和用于电网渗透的负载，可再生能源资源对需求系统的响应，并控制数据近似和确定限制，以输入性能指数的整体优化问题，指标，指标以及与DG相关的系统研究，用于与DG相关的DG，以实现分配或子传输的最佳能源。智力优点：研究将使用计算方法来评估DG对网络操作的影响。通过内部点和整数编程扩展，将开发出一种首选DG边际收益作为位置边缘价格变化的位置边际价格的方法。综合方案的鲁棒性将在基准系统上进行测试。Boader的影响：研究将增强能源系统的优化技术，从而提高系统效率。它将进一步为DG渗透（包括替代能源选项​​）的渗透率增加，为自动智能电网的发展提供贡献。这对国家的能源安全和生活质量有益。该项目将进一步促进少数族裔学生的培训，并对未来的权力和能源劳动力有影响。