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Rescheduling methods for mitigation of poorly damped power swings depend on a model-based evaluation of eigenvalue sensitivities and are slow to implement. This paper proposes an approach for an online model-free implementation of modulation-type control using Wide Area Measurement System (WAMS). Such a control measure can act as a primary line of defense before the slower rescheduling-type measures are taken. The proposed control measure utilizes special properties of swing modes derived analytically from a simplified system model to 1) synthesize a modal feedback signal as the input to the controller and 2) tune the controller parameters for adequate damping improvement, in a model-independent manner for certain FACTS devices and HVDC links. For a power system stabilizer (damping controller in a synchronous machine excitation system), the extent of model information required is limited to that of the well-known GEP $(s)$ transfer function and inertia constant of the concerned synchronous machine. Case studies with detailed system models provide the necessary proof-of-concept. [ABSTRACT FROM AUTHOR]

An effective demand response (DR) model framework for DR management systems in a residential premise is proposed. The proposed model consists of dynamic price signals from load serving entity (LSE), benefit function, and loss of consumer comfort. The conventional approaches generally consider these factors as independent in their formulation. Since these factors have functional relationship, the proposed model points to a holistic approach to capture the relationship. The scheduling model can be integrated with the home energy scheduler coupled to the smart meter, which facilitates the flow of dynamic price and energy consumption information to and from the household premise. The objective is to maximize net consumer surplus, which is formulated as a function of all aforementioned factors. A method for developing a practical and dynamic consumer benefit model for matured DR programs is proposed in this paper. For the purpose of showing the effectiveness of dynamic benefit function, a set of analytically formulated benefit functions is also considered. The suitability of the dynamic benefit function, as compared with other alternatives, is illustrated with an example. This paper also reports the dynamic price design from the view point of LSE, in order to cover the risks of wholesale price volatility. [ABSTRACT FROM PUBLISHER]

Non-local measurements from wide area measurement systems can be used to synthesize feedback signals for FACTS or HVDC based power oscillation damping controllers. Although non-local feedback signals may have better damping influence than local feedback signals, they involve greater complexity and reduced robustness due to the possibility of partial or complete loss of communication. A composite control strategy is proposed in this paper, which uses both local and non-local feedback channels to achieve enhanced damping and improved robustness. Special local signals and their non-local equivalents are identified for series reactive and shunt real power injection devices, which facilitate the design of controllers with a simple structure and fewer parameters. Unlike modal speed signals, synthesis of these signals does not require an online eigen-solution. Case studies are presented which demonstrate the efficacy and robustness of this strategy. [ABSTRACT FROM AUTHOR]