The OPF problem has significant importance in a power system's operation, planning,
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …

This paper offers an efficient tool to define the unknown parameters of electrical
transformers. The proposed methodology is developed based on artificial hummingbird …

This paper uses enhanced turbulent flow in water-based optimization (TFWO), specifically
ETFWO, to achieve optimal power flow (OPF) in electrical networks that use both solar …

Typically, the main control on alternating current (AC) power systems is performed by the
scheduling of rotary machines of synchronous generators and static machines of on-load tap …

In this present work, a new metaheuristic method called a Harris hawk optimizer (HHO) is
applied to achieve the optimal design of a power system stabilizer (PSS) in a multimachine …

The chapter presents various applications of whale migration algorithm (WMA) as a new-
emerging robust optimizer for optimizing optimal power flow (OPF) problems of the electrical …

This paper describes how to obtain optimal power flow (OPF) in power systems that
integrate wind turbine (WT) and solar photovoltaic (PV) producers. A modified technique …

The present study merges the teaching and learning algorithm (TLBO) and turbulent flow of
water optimization (TFWO) to propose the hybrid TLTFWO. The main purpose is to provide …

By considering a variety of objective functions, this paper has created an evolutionary
method that is both effective and reliable for resolving the problem of multi-constraint optimal …

Railway signal is a system whole composed of several railway components. At present, the
test results of traditional simulation testing tools are usually characterized by poor versatility …