Shrirang Abhyankar

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—Real-time dynamics simulation of large-scale power systems is a computational challenge because of the need to solve a large set of stiff, nonlinear differential-algebraic equations. The main bottleneck in these simulations is the solution of the linear system during each nonlinear iteration of Newton's method. We present a parallel linear solution scheme(More)
—We present a novel technique for determining the solution of optimal power flow, including dynamic security constraints, using forward sensitivities computed by using finite differences. Finite differencing provides an easy way of computing the sensitivities of the dynamic security constraints in optimal power flow. A dynamic security measure based on the(More)
The computational bottleneck for large nonlinear AC power flow problems using Newton's method is the solution of the linear system at each iteration. We present a parallel linear solution scheme using the Krylov subspace-based iterative solver GMRES preconditioned with overlapping restricted additive Schwarz method (RASM) that shows promising speedup for(More)
—Sensitivity analysis is an important tool for describing power system dynamic behavior in response to parameter variations. It is a central component in preventive and corrective control applications. The existing approaches for sensitivity calculations , namely, finite-difference and forward sensitivity analysis, require a computational effort that(More)
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