Abstract
This paper introduces the concept of adaptive coordination of damping controllers for enhancing power system stability. The coordination uses phasor measurement units (PMUs) to adapt to different disturbances by selecting the switching status (on/off) of damping controllers that minimizes an energy-based dynamic performance measure. This dynamic performance measure, referred to as total action (TA), uses a physical interpretation of excited modes rather than fixed targeted modes as in the traditional damping control design. The coordination is formulated as a binary integer programming problem, which is solved by using the total action sensitivity (TAS). The concept of oscillation energy and the implementation of the adaptive coordination scheme is tested in the western North America power system (wNAPS). The results show that the proposed adaptive control scheme can improve oscillation damping for different short-circuit locations even in the presence of large communication delays.
Highlights
E LECTRICAL power systems are rapidly changing towards more connected and complex structures
Examine the linearized power system equations x = Ax + Bu, x(t0) = x0 where A ∈ Rn×n is the system matrix in open loop, x ∈ Rn is the vector of state variables, x0 ∈ Rn is the vector of initial conditions, B ∈ Rn×m is the input matrix and u ∈ Rm is the vector of input signals from different electronically-interfaced resources (EIRs)-based damping controllers (DC)
The disturbance adaptation provides a new way to improve performance because it uses the information of the excited modes and their respective energy effect in the grid rather than arbitrarily targeted modes
Summary
E LECTRICAL power systems are rapidly changing towards more connected and complex structures. The main concerns with these optimization-based procedures are (a) the use of arbitrary objective functions that lack physical interpretation, (b) the need for expert intervention to define a targeted oscillation mode, and (c) lack of adaptability to specific faults—while there are solutions for offline adaptability to operational changes [24]–[27], no solution for real-time adaptability to faults is found in the literature This aspect is of tremendous importance, as a particular fault will neither excite a single mode nor necessarily targeted modes, and control resources may perform sub-optimally and in some cases with undesirable dynamic interactions.
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