For enhancing the stability of microgrid operation, this paper proposes an optimization model considering small-signal constraint. Due to nonsmooth property spectral abscissa function, droop controller parameters’ is a problem. The Sequential Quadratic Programming with Gradient Sampling (SQP-GS) implemented optimize parameters for solving SQP-GS method can guarantee solution problem globally an...

A two-stage stochastic programming model is established to minimize EV's expected total journey time under traffic conditions, by jointly optimizing the allocation of chargers and distribution EV flows. Based on sample average approximation, a feasible deterministic equivalent original problem obtained. Then, hybrid solution method, composing Tabu-based search sequential quadratic (SQP), propos...

We introduce and analyze a trust–region sequential quadratic programming (SQP) method for the solution of smooth equality constrained optimization problems, which allows the inexact and hence iterative solution of linear systems. Iterative solution of linear systems is important in large-scale applications, such as optimization problems with partial differential equation constraints, where dire...

In this paper we analyze inexact trust–region interior–point (TRIP) sequential quadra– tic programming (SQP) algorithms for the solution of optimization problems with nonlinear equality constraints and simple bound constraints on some of the variables. Such problems arise in many engineering applications, in particular in optimal control problems with bounds on the control. The nonlinear constr...

In this paper we analyze inexact trust{region interior{point (TRIP) sequential quadra{ tic programming (SQP) algorithms for the solution of optimization problems with nonlinear equality constraints and simple bound constraints on some of the variables. Such problems arise in many engineering applications, in particular in optimal control problems with bounds on the control. The nonlinear constr...

This paper proposes a hybrid technique combining a new heuristic algorithm named seeker optimization algorithm (SOA) and sequential quadratic programming (SQP) method for solving dynamic economic dispatch problem with valve-point effects. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient (EG) by evaluating the...

This paper addresses the development of a new algorithm for parameter estimation of ordinary differential equations. Here, we show that (1) the simultaneous approach combined with orthogonal cyclic reduction can be used to reduce the estimation problem to an optimization problem subject to a fixed number of equality constraints without the need for structural information to devise a stable embe...