Inherent dynamic properties of interconnected power systems

Ustinov, S. M.; Milanović, Jovica V.; Maslennikov, V.A.

doi:10.1016/s0142-0615(01)00044-8

Cited by 12 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Для моделей энергосистем с не-сколькими тысячами дифференциальных уравнений его эффективность по сравнению с ранее использовавшимися алгоритмами ожидается еще выше. Это позволит зна-чительно расширить возможности вычис-лительного комплекса ПОИСК, увеличить размеры исследуемых энергообъединений и не только решать задачи эффективного вы-бора настроек регуляторов, но и на новом уровне обращаться к таким разнообразным проблемам, как анализ свойств протяженных энерго-• объединений [19][20][21][22][23][24][25] (возникновение в них низкочастотных колебаний, оценка роли управляемых шунтирующих реакторов и др. ); ранжирование нагрузок по их влия-• нию на статическую устойчивость [26,27]; обоснованное упрощение моделей • [28,29] и синтез новых законов управления [30,31]; учет неопределенности параметров • энергосистемы, оценка чувствительности запасов по устойчивости к вариации режи-мов работы, решение ряда проблем адап-тации при управлении статической устой-чивостью больших энергообъединений [32,33] и пр.…”

Section: / ( )unclassified

On the Solution of a Linear Least Squares Problem with Linear Inequality Constraints

Ustinov¹

2015

Self Cite

View full text Add to dashboard Cite

Ключевой момент при решении линейной задачи наименьших квадратов с линейными ограничениями-неравенствами -это число параметров, принадлежащих границе области, которым разрешено изменение на следующем шаге метода. Показано, что выведение из активного множе-ства двух и более параметров не гарантирует успешную работу алгоритма. Теоретические результаты проиллюстрированы вычислительным экспериментом. Двухэтапная процедура последовательного квадратичного программирования была включена в качестве подсистемы в вычислительный ком-плекс ПОИСК, решающий широкий круг задач статической устойчивости больших энергообъеди-нений. Это обеспечивает сокращение объема вычислений на несколько порядков.ЛИНЕЙНАЯ ЗАДАЧА НАИМЕНЬШИХ КВАДРАТОВ С ЛИНЕЙНЫМИ ОГРАНИЧЕНИЯМИ-НЕРАВЕНСТВАМИ; АКТИВНОЕ МНОЖЕСТВО; ПОСЛЕДОВАТЕЛЬНОЕ КВАДРАТИЧНОЕ ПРОГРАММИРОВАНИЕ; СТАТИЧЕСКАЯ УСТОЙЧИВОСТЬ.The key point in the solution of the linear least squares problem with linear inequality constraints is the number of parameters belonging to the border region that are allowed to change in the next step of the method. It has been shown that the removal of two or more parameters from the active set does not guarantee for the algorithm to work successfully. The theoretical results are illustrated by computational experiments. A two-stage procedure of sequential-quadratic programming was included as a subsystem in the advanced POISK software solving a wide range of problems of steady-state stability of large power pools. This ensures a reduction in the amount of computations by several orders.

show abstract

Section: / ( )unclassified

On the Solution of a Linear Least Squares Problem with Linear Inequality Constraints

Ustinov¹

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…As synchronous generators regain stability following disturbances, oscillations are seen in their rotor speeds, resulting in power oscillations throughout the system. Low frequency inter-area electromechanical oscillations (or modes) are inherent in all large power systems [1], and can be exacerbated by increased power transfer across key transmission corridors and the use of high gain excitation systems to enhance the transient stability of power systems. Furthermore, future power systems may be characterized by reduced capacity margins, fewer conventionally regulated generation units, and lower system inertia (caused by converter-connected renewable energy sources).…”

Section: Introductionmentioning

confidence: 99%

Efficient Estimation of the Probability of Small-Disturbance Instability of Large Uncertain Power Systems

Preece

Milanović

2016

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

This paper proposes a methodology to efficiently estimate the probability of small-disturbance rotor angle instability of uncertain power systems. Traditional Monte Carlo (MC) approaches are computationally intensive and inefficient, particularly when used to study low probability conditions which result in small disturbance instabilities and develop into serious outage events high impact. The proposed methodology uses importance sampling to focus on conditions which contain the high information content required to make relevant decisions about low probability events. Latin Hypercube Sampling (LHS) is used to efficiently bound the search space and identify operating conditions leading to a marginally stable or unstable system response. The proposed approach is demonstrated on a model of a multi-area transmission network with a significant capacity of intermittent generation connected through a multi-terminal Voltage Source Converter-based High Voltage Direct Current (VSC-HVDC) grid. It is demonstrated that the methodology yields accurate results with just a small fraction of the sample points required using a conventional numerical MC approach.

show abstract

“…As synchronous machines regain stability following disturbances, oscillations are seen in their rotor speeds, resulting in power oscillations throughout the system. Low frequency inter-area electromechanical oscillations are inherent in all large power systems [8], and in many cases the use of high generator exciter gains to improve the transient recovery of power systems has exacerbated small-disturbance stability concerns [9]. Unlike transient stability, small-disturbance stability is not dependent on the nature of the disturbance and can therefore be investigated using a probabilistic risk-based approach which accounts for system uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Small-Disturbance Security Assessment of Power Systems

Preece

Milanović

2015

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

This paper presents a risk-based Probabilistic Small-disturbance Security Analysis (PSSA) methodology for use with power systems with uncertainties. This novel addition to existing Dynamic Security Assessment (DSA) techniques can be used to quantify the small-disturbance stability risks associated with forecasted operating conditions. This approach first establishes the probability density functions (pdfs) for the damping of the critical oscillatory electromechanical modes by modeling the stochastic variation of system uncertainties such as loading levels, intermittent generation sources, and power flows through Voltage Source Converter High Voltage Direct Current (VSC-HVDC) lines. The produced pdfs are then be combined with severity measures (either simple risk matrices or continuous functions) in order to quantify the risk of stability issues for the system associated with the forecasted operating scenario. Additionally, the PSSA is used to establish risk-based operational limits and the concept of a probabilistic security margin is introduced to more accurately represent the probabilistic operation of uncertain power systems. The proposed techniques are demonstrated using a multi-area meshed power system incorporating two VSC-HVDC systems, one of which is connected to a large wind farm.

show abstract

Inherent dynamic properties of interconnected power systems

Cited by 12 publications

References 11 publications

On the Solution of a Linear Least Squares Problem with Linear Inequality Constraints

On the Solution of a Linear Least Squares Problem with Linear Inequality Constraints

Efficient Estimation of the Probability of Small-Disturbance Instability of Large Uncertain Power Systems

Risk-Based Small-Disturbance Security Assessment of Power Systems

Contact Info

Product

Resources

About