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.

摘要本研究的目的是深入了解分布式发电（DG）特别是可再生能源的网络渗透建模，结合负荷变化下的MW和MVAr需求响应；开发基于价值的DG互连集成优化工具；为电力系统的可靠性、效率和拥塞管理开发新的性能指标。该方法旨在开发改进的DG和负荷模型，用于电网渗透，可再生能源对需求系统和控制数据的响应，近似和确定限制，作为整体优化问题的输入，设计性能指标，指标和系统研究，用于与DG相关的不同场景，以实现分配或子传输的最佳能量。智力价值：本研究将使用计算方法来评估DG对网络运行的影响。利用内部点规划和整数规划的扩展，提出了一种计算电压稳定变化时DG边际效益随位置边际价格变化的优选方法。综合方案的鲁棒性将在一个基准系统上进行测试。更广泛的影响：该研究将加强能源系统的优化技术，从而提高系统效率。它将进一步为自主智能电网的发展做出贡献，包括替代能源的选择。这有利于国家的能源安全和生活质量。该项目将进一步促进少数民族学生的培训，并对培养未来的电力和能源劳动力产生影响。