Wide-Area Protection and its Applications - A Bibliographical Survey

Inter-area oscillations in bulk power systems are typically poorly controllable by means of local decentralized control. Recent research efforts have been aimed at developing widearea control strategies that involve communication of remote signals. In conventional wide-area control, the control structure is fixed a priori typically based on modal criteria. In contrast, here we employ the recently-introduced paradigm of sparsitypromoting optimal control to simultaneously identify the optimal control structure and optimize the closed-loop performance. To induce a sparse control architecture, we regularize the standard quadratic performance index with an 1-penalty on the feedback matrix. The quadratic objective functions are inspired by the classic slow coherency theory and are aimed at imitating homogeneous networks without inter-area oscillations. We use the New England power grid model to demonstrate that the proposed combination of the sparsity-promoting control design with the slow coherency objectives performs almost as well as the optimal centralized control while only making use of a single wide-area communication link. In addition to this nominal performance, we also demonstrate that our control strategy yields favorable robustness margins and that it can be used to identify a sparse control architecture for control design via alternative means.Here, M i and D i are the inertia and damping coefficients, E i is the q-axis voltage, and P red,i is the generator power injection in the network-reduced model. The Kron-reduced admittance matrix Y red describes the interactions among the generators, and the phase shifts ϕ ij − arctan( (Y ij )/ (Y ij )) ∈ [0, π/2[

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“…9. The New England test system [10], [11]. The system includes 10 synchronous generators and 39 buses.…”

Section: B Wac Design and Nominal Performancementioning

confidence: 99%

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

Dörfler

Jovanović

Chertkov

et al. 2013

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“…To validate this hypothesis, we randomly altered the power demand at each load to create different loading conditions and operating points. Additionally, we perturbed the nominal PSS gains in (10). As a result, even if the PSS gains are randomly altered by factors within [0.…”

Section: Implementation Issues Robustness and Delaysmentioning

confidence: 99%

“…To illustrate the utility of our sparsity-promoting identification scheme, we apply the proportional WAC signal (12) to the full nonlinear differential-algebraic power network model (1) equipped with the PSSs (10). To demonstrate the importance of the WAC channel 9 → 1, we do not re-tune the local PSSs to emulate u (loc) wac (t).…”

Section: Sparsity Identification and Alternative Control Schemesmentioning

confidence: 99%

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

Dörfler

Jovanović

Chertkov

et al. 2014

IEEE Trans. Power Syst.

199

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Abstract-Inter-area oscillations in bulk power systems are typically poorly controllable by means of local decentralized control. Recent research efforts have been aimed at developing widearea control strategies that involve communication of remote signals. In conventional wide-area control, the control structure is fixed a priori typically based on modal criteria. In contrast, here we employ the recently-introduced paradigm of sparsitypromoting optimal control to simultaneously identify the optimal control structure and optimize the closed-loop performance. To induce a sparse control architecture, we regularize the standard quadratic performance index with an 1-penalty on the feedback matrix. The quadratic objective functions are inspired by the classic slow coherency theory and are aimed at imitating homogeneous networks without inter-area oscillations. We use the New England power grid model to demonstrate that the proposed combination of the sparsity-promoting control design with the slow coherency objectives performs almost as well as the optimal centralized control while only making use of a single wide-area communication link. In addition to this nominal performance, we also demonstrate that our control strategy yields favorable robustness margins and that it can be used to identify a sparse control architecture for control design via alternative means.

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“…Conventional protection schemes, as of yet, have not made use of system wide information to enhance their functionality. A number of such schemes have been discussed but they are limited to simulation studies [5].…”

Section: B Current Waps Practicesmentioning

confidence: 99%

A dynamic modelling environment for the evaluation of wide area protection systems

Abdulhadi

Tumilty

Burt

et al. 2008

2008 43rd International Universities Power Engineering Conference

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Abstract-This paper introduces the concept of dynamic modelling for wide area and adaptive power system protection. Although not limited to these types of protection schemes, these were chosen due to their potential role in solving a multitude of protection challenges facing future power systems. The dynamic modelling will be implemented using a bespoke simulation environment. This tool allows for a fully integrated testing methodology which enables the validation of protection solutions prior to their operational deployment. Furthermore the paper suggests a distributed protection architecture, which when applied to existing and future protection schemes, has the potential to enhance their functionality and avoid mal-operation given that safety and reliability of power systems are paramount. This architecture also provides a means to better understand the underlying dynamics of the aforementioned protection schemes and will be rigorously validated using the modelling environment.

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Wide-Area Protection and its Applications - A Bibliographical Survey

Cited by 20 publications

References 89 publications

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

A dynamic modelling environment for the evaluation of wide area protection systems

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