Mid-term Voltage Stability Assessment and Measures for Mitigating Voltage Collapse in Interconnected Power Grids

互联电网电压稳定中期评估及缓解电压崩溃措施

• 批准号: 9975713
• 负责人: Badrul Chowdhury
• 金额: $ 34.44万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9975713&HistoricalAwards=false
• 关键词: Mid; term; Voltage; Stability; Assessment; Mid; term; Voltage; Stability; Assessment

Voltage stability assessment and enhancement in power systems will depend, to a large extent, on successfully addressing a number of fundamental issues. These are the use of long-term dynamic simulations to ensure proper margins, the existence of reliable models, and the formulation of intelligent reactive power management and control strategies that are robust, accurate, and fast. Just providing the operator with information on the security margins is not always adequate. This information has to be provided well in advance of impending voltage insecurity, such that appropriate preventive control actions can be taken. Many experts fear that reactive power management will become a crucial reliability issue in the present deregulated environment - a scenario stemming from the unbundling of services. With many system operators opting against maintaining acceptable voltage profiles in the face of competition, systems are now facing renewed threats of voltage collapse. There have been several reports of widespread cascading outages due to inadequate reactive reserves.This proposal is aimed at accomplishing three tasks, those of (i) developing accurate models for mid-term voltage stability assessment; (ii) developing a new aggregation method for dynamic simulations based on the estimated interpolation errors of static states, and (iii) introducing fast and effective remedial measures for mitigating mid-term voltage instability in power grids. Stability enhancement measures will entail a number of automatic schemes encompassing over-excitation limiters, generator automatic voltage regulators (AVRs), shunt capacitor banks, area reactive power coordination, under-voltage load shedding, etc. The use of fuzzy sets and/or neuro-fuzzy control algorithms will be investigated for tighter control. The project will be led by investigators with a combined thirty years of experience in power systems modeling, simulations, and in intelligent control algorithms. Interactions with industry experts will provide guidance in developing practical designs. New course modules in power system stability and in intelligent controls will be put in place in order to fulfill the educational objectives of the project.

电源系统的电压稳定性评估和增强功能将在很大程度上取决于成功解决许多基本问题。 这些是使用长期动态仿真来确保适当的利润，可靠模型的存在以及智能，准确和快速的智能反应能力管理和控制策略的制定。 仅向操作员提供有关安全利润的信息并不总是足够的。 必须在电压不安全之前就可以在预防性的预防控制措施之前先提供此信息。 许多专家担心，在当前放松调节环境中，反应性电源管理将成为一个至关重要的可靠性问题，这是由拆除服务的情况。随着许多系统操作员选择在竞争中保持可接受的电压轮廓，因此系统现在正面临着电压崩溃的新威胁。 有几份报道说，由于反应性储量不足，由于反应性储量不足而广泛级联的中断。该提案旨在完成三个任务，这些任务是（i）为中期电压稳定性评估开发准确的模型； （ii）开发一种基于静态状态的估计插值误差的动态模拟的新聚合方法，以及（iii）引入快速有效的补救措施，以减轻电网中的中期电压不稳定性。 稳定性提高措施将需要许多自动方案，包括过度激发限制器，发生器自动电压调节器（AVR），分流电容器库，区域反应性功率协调，电压底部负荷脱落等。使用模糊集合和/ORNEURO-NEURO-fuzzy-Fuzzy-Fuzzy Fuluzzy Contruct Algorith a Algorith的使用将受到调查。 该项目将由调查人员领导，在电力系统建模，模拟和智能控制算法方面拥有30年经验。 与行业专家的互动将为开发实用设计提供指导。 电力系统稳定性和智能控制中的新课程模块将建立到适当的位置，以实现项目的教育目标。