Improvement of network damping and transient stability by active and reactive power control

Dilger, R.; Nelles, Dieter

doi:10.1049/ip-gtd:19970682

Cited by 2 publications

(7 citation statements)

References 3 publications

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“…• Frequency deviations; • ACE deviations (frequency and inter-area power transfer) [7]; • Voltage deviations; • Voltages at a strategic set of buses, and reactive power generated in some units [8] [9]; • Critical Clearing Time CCT (transient stability) [10]; • Based on energy functions [11];…”

Section: B Dynamic Performance (Dp) Metricsmentioning

confidence: 99%

“…This calculation is formulated in equation (9), taking into account the assumptions already made. A simplified formulation to calculate the missedopportunity cost of generators due to the need of keeping spinning reserves is given in equation (10). For this equation, the following assumptions have been made: (a) the total amount of spinning reserve in the generator is used exclusively for primary voltage control, (b) there exists only a market for energy, therefore the only generator misses the opportunity of selling in the energy market, (c) the generator incurs on missed-opportunity costs for a fixed amount of hours a day every day for one year with the same amount of reserve, (d) the capability curve of the generator is not considered to calculate the amount of spinning reserve.…”

Section: Economic Implicationsmentioning

confidence: 99%

“…For this equation, the following assumptions have been made: (a) the total amount of spinning reserve in the generator is used exclusively for primary voltage control, (b) there exists only a market for energy, therefore the only generator misses the opportunity of selling in the energy market, (c) the generator incurs on missed-opportunity costs for a fixed amount of hours a day every day for one year with the same amount of reserve, (d) the capability curve of the generator is not considered to calculate the amount of spinning reserve. Then the missed-opportunity cost can be calculated with the simplified formula in equation (6) (10) where ΣC Opportunuty is the cumulative missed-opportunity cost in [$] of not selling energy on the energy market and keeping spinning reserve instead; T op are the hours when the generator incurs missed-opportunity costs; p M is the price of energy in the energy market for the period T op ,; p bid is the bid that the generator made in the energy market for the period T op ; CAP is the capacity of the generator in [MVA]; and S G is the apparent power generated for the generator.…”

Section: Economic Implicationsmentioning

confidence: 99%

“…Examples of dynamic performance are: voltage and frequency deviations and their persistence [2], and critical clearing time (CCT) [10]. As is mentioned in section II-B, the dynamic performance (DP) metrics is a multidimensional property and more work needs to be done in order to better define the choice of DP metrics.…”

Section: Determination Of the Cost Of Supplying Dynamic Control mentioning

confidence: 99%

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Determining the cost of dynamic control capacity for improving system efficiency

Elizondo

Ilić

Mercado

2006

2006 IEEE Power Engineering Society General Meeting

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Abstract-In this paper, we propose an approach to determining the cost of supplying the dynamic control capacity (DCC) necessary to ensure that the system operates without stability problems over a well-defined range of demand variations and system contingencies. This approach addresses the problem of finding an economically efficient combination of controllers and reserves to provide reliability and security economically and in a technically adequate way. In particular, we discuss the cost of providing DCC as a function of system dynamic performance (DP) metrics. The choice of performance metrics is critical for deciding the installation of controllers in power systems. In this paper, we illustrate the approach using the primary control problems of transient stability and primary voltage control.

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Section: B Dynamic Performance (Dp) Metricsmentioning

confidence: 99%

Section: Economic Implicationsmentioning

confidence: 99%

Section: Economic Implicationsmentioning

confidence: 99%

Section: Determination Of the Cost Of Supplying Dynamic Control mentioning

confidence: 99%

See 2 more Smart Citations

Determining the cost of dynamic control capacity for improving system efficiency

Elizondo

Ilić

Mercado

2006

2006 IEEE Power Engineering Society General Meeting

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“…Figure 4.1: Lead-lag controller structure effect over a broader range of operating conditions [10], [84], [85], and [86]. Nonlinear methods such as a variable structure power system stabilizer [45], [83], a method of coordinated active and reactive power control based on a Lyapunov function [16], and the transient energy function approach in [26] and [51] have been reported. Methods avoiding specific mathematical models and operating conditions include neural networks and fuzzy logic technology.…”

Section: Introductionmentioning

confidence: 99%

Analysis and robust decentralized control of power systems using FACTS devices

Schoder¹

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Today's changing electric power systems create a growing need for flexible, reliable, fast responding, and accurate answers to questions of analysis, simulation, and design in the fields of electric power generation, transmission, distribution, and consumption. The Flexible Alternating Current Transmission Systems (FACTS) technology program utilizes power electronics components to replace conventional mechanical elements yielding increased flexibility in controlling the electric power system. Benefits include decreased response times and improved overall dynamic system behavior. FACTS devices allow the design of new control strategies, e.g., independent control of active and reactive power flows, which were not realizable a decade ago. However, FACTS components also create uncertainties. Besides the choice of the FACTS devices available, decisions concerning the location, rating, and operating scheme must be made. All of them require reliable numerical tools with appropriate stability, accuracy, and validity of results. This dissertation develops methods to model and control electric power systems including FACTS devices on the transmission level as well as the application of the software tools created to simulate, analyze, and improve the transient stability of electric power systems. The Power Analysis Toolbox (PAT) developed is embedded in the MATLAB/Simulink environment. The toolbox provides numerous models for the different components of a power system and utilizes an advanced data structure that not only increases data organization and transparency but also simplifies the efforts necessary to incorporate new elements. The functions provided facilitate the computation of steady-state solutions and perform steady-state voltage stability analysis, nonlinear dynamic studies, as well as linearization around a chosen operating point. Applying intelligent control design in the form of a fuzzy power system damping scheme applied to the Unified Power Flow Controller (UPFC) is proposed. Supplementary damping signals are generated based on local active power flow measurements guaranteeing feasibility. The effectiveness of this controller for longitudinal power systems under dynamic conditions is shown using a Two Area-Four Machine system. When large disturbances are applied, simulation results show that this design can enhance power system operation and damping characteristics. Investigations of meshed power systems such as the New England-New York power system are performed to gain further insight into adverse controller effects. I would like to begin with a heartfelt thank you to Sandra for her love and encouragement toward my work and for making the decision to come to Morgantown in the first place. I thank my family for their support and inspiration that they have provided throughout my entire life and educational experience. This dissertation came into existence during my years as research assistant for Dr. Ali Feliachi, Electric Power Systems Chair Professor, in the Lane Department of Computer Science and Electr...

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Improvement of network damping and transient stability by active and reactive power control

Cited by 2 publications

References 3 publications

Determining the cost of dynamic control capacity for improving system efficiency

Determining the cost of dynamic control capacity for improving system efficiency

Analysis and robust decentralized control of power systems using FACTS devices

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