Interior point methods for power flow optimization with security constraints

Abstract

This paper deals with power flow optimization with security constraints, focusing on the problem of shortterm hydroelectric scheduling, called predispatch. Since the energy demand varies throughout the day, the generation must satisfy daily targets, established by long-term scheduling models. This study considers that the hydroelectric plants and transmission systems must provide an optimal flow of energy under security constraints that allow meeting energy demands for normal operating conditions and when disturbances happen. Algebraic techniques are used to exploit the sparse structure of the problem, targeting the design of an interior point algorithm, efficient in terms of robustness and computational time. Case studies compare the proposed approach with a general purpose optimization solver for quadratic problems and an algorithm for the predispatch problem that does not consider security constraints. The results show the benefits of using the method proposed in the paper, obtaining optimal power flow that is suitable to consider contingencies, with numerical stability and appropriate computational time.

Neuro-swarm computational heuristic for solving a nonlinear second-order coupled Emden–Fowler model

“…The integrated heuristics of PSO-IPM is exploited to train the networks, while the essential parameter settings of importance elements for PSO-IPM are given in Table 1. Few recently IP scheme applications are power flow security constraint optimization (Casacio et al 2019), image processing (Chouzenoux et al 2020), multistage nonlinear nonconvex problems (Zanelli et al 2020) and nonlinear benchmark models (Wambacq et al 2021). The PSO-IP scheme is used to train the networks as per process and parameter settings provided in Table 1.…”

Optimización de la eficiencia en el accionamiento de una máquina de inducción mediante algoritmo basado en el método de punto interior

“…En (Capitanescu and Wehenkel, 2013) se aplica en calcular flujos de potenciaóptimos con restricciones de seguridad. En (Casacio et al, 2019) se optimiza el despacho hidrotérmico a corto plazo, para satisfacer la demanda bajo restricciones de seguridad. En este trabajo se obtienen flujosóptimos de potencia, con un tiempo de cómputo menor al obtenido en programas comerciales como Matlab.…”