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

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.

电力系统的电压稳定性评估和提高在很大程度上取决于成功地解决一些基本问题。 这些是使用长期动态模拟来确保适当的裕度，可靠模型的存在，以及制定智能无功功率管理和控制策略，这些策略是鲁棒的，准确的，快速的。 仅仅向经营者提供关于安全裕度的信息并不总是足够的。 必须在即将发生电压不安全之前提供此信息，以便采取适当的预防控制行动。 许多专家担心，无功功率管理将成为一个关键的可靠性问题，在目前放松管制的环境-一个场景源于服务的分拆。由于许多系统运营商在竞争中选择不维持可接受的电压曲线，系统现在面临新的电压崩溃威胁。 由于无功备用不足而引起的连锁停电已经有几次报道，本建议旨在完成三项任务，即：（i）建立准确的中期电压稳定评估模型;（ii）基于静态插值误差的估计，开发了一种新的动态仿真聚合方法，及（iii）引入快速有效的补救措施，以减轻电网的中期电压不稳定。 稳定性增强措施将需要一些自动计划，包括过励磁限制器，发电机自动电压调节器（AVR），并联电容器组，区域无功功率协调，欠压减载等模糊集和/或神经模糊控制算法的使用将进行研究，以更严格的控制。 该项目将由在电力系统建模、仿真和智能控制算法方面拥有30年经验的研究人员领导。 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方面的新课程模块将到位，以实现该项目的教育目标。