This paper introduces a novel technique for optimal distribution system (DS) planning with distributed generation (DG) systems. It is being done to see how active and reactive power injections affect the system's voltage profile energy losses. DG penetration in systems one approach that has several advantages such as peak savings, loss lessening, amelioration. also intends increase reliability, stability, security. The main goal of (ODG) guarantee achieve benefits mentioned previously...

The aim of the optimization economic load dispatch (ELD) problem is to assign optimal generated power thermal units for cost reduction with satisfying loading operational constraints. ELD a high-dimensional and non-convex that became more complex in case optimizing output large-scale systems. In this regard, an enhanced version Beluga whale (EBWO) proposed deal (BWO) efficient new technique mimics behavior whales (BWs) preying, swimming, fall. However, BWO may suffer from stagnation local...

This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for solving global optimization and the optimal power flow (OPF) problems. The proposed EEO algorithm includes a new performance reinforcement strategy with Lévy Flight mechanism. addresses shortcomings original aims to provide better solutions (than those provided by EO) problems, especially OPF efficiency was confirmed comparing its results on ten functions CEC'20 test suite, other algorithms, including...

In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed and utilized to determine the optimal solution which achieves economical operation of electrical power system reducing environmental pollution produced by conventional generation. Here, Combined Economic Emission Dispatch (CEED) problem represented using a max/max Price Penalty Factor (PPF) confine system's nonlinearity. PPF considered transform four-objective into single-objective optimization...

The appropriate control and management of reactive power is great relevance in the electrical reliability, stability, security grids. This issue considered order to increase system efficiency maintain voltage under acceptable value range. In this regard, novel technologies as FACTS, renewable energies, among others, are varying conventional grid behavior leading unexpected limit capacity reaching due large flow. Thus, optimal planning must be considered. paper proposes a new application for...

Modern electrical power systems are becoming increasingly complex and expanding at an accelerating pace. The system’s transmission lines under more strain than ever before. As a result, the system is experiencing wide range of issues, including rising losses, voltage instability, line overloads, so on. Losses can be minimized profile improved when energy resources installed on appropriate buses to optimize real reactive power. This especially true in densely congested networks. Optimal flow...

Optimal power flow (OPF) is one of the most significant electric network control and management issues. Adding unreliable intermittent renewable energy sources to electrical grid increase complicates OPF issue, which calls for using modern optimization techniques solve this issue. This work presents optimal location size some FACTS devices in a hybrid system containing stochastic wind traditional thermal plants considering OPF. The used are thyristor-controlled series compensator (TCSC),...

The greater the demand for energy, more important it is to improve and develop permanent energy sources, because of their advantages over non-renewable sources. With development artificial intelligence algorithms presence so many data, evolution simulation models has increased. In this research, an improvement one recent optimization algorithm called hummingbird (AHA) proposed. An adaptive opposition approach suggested select whether or not use opposition-based learning (OBL) method. This...

This study presents an innovative strategy for load frequency control (LFC) using a combination structure of tilt-derivative and tilt-integral gains to form TD-TI controller. Furthermore, new improved optimization technique, namely the quantum chaos game optimizer (QCGO) is applied tune proposed controller in two-area interconnected hybrid power systems, while effectiveness QCGO validated via comparison its performance with traditional CGO other optimizers when considering 23 bench...

In this study, an optimization algorithm called chaotic turbulent flow of water-based (CTFWO) is proposed to find the optimal solution for reactive power dispatch (ORPD) problem. The ORPD formulated as a complicated, mixed-integer nonlinear problem, comprising control variables which are discrete and continuous. CTFWO used minimize voltage deviation (VD) real loss (P_loss) IEEE 30-bus 57-bus systems. These goals can be achieved by obtaining optimized values generator, transformer tap...

Electrical power system abnormalities may have several negative consequences on its stable operation. As a result, preserving stability under such operational states has become an ongoing challenge for engineers. PSSs are created as auxiliary controllers to address the instability issues produced upon disturbances. They dampen oscillations induced by disturbances giving necessary damping torque. This research aims at presenting comprehensive study optimum tuning of stabilizer (PSS) different...

This work discusses the production of a novel hybrid algorithm by combining gorilla troops optimizer (GTO) with gradient-based optimizers (GBO) approach. The approach is called GTO-GBO, it offered as useful tool for optimizing power system stabilizer (PSS) used in IEEE four-generator, two-area multi-machine subjected to three-phase short-circuit fault. MATLAB/Simulink software was utilized carry out assessments. suggested initially evaluated using multiple benchmark functions unimodal and...

The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient distribution power among generating units while considering various constraints, such as minimum and maximum output, transmission line capacity, reserve requirements. By solving ELD problem, system operators can minimize overall operating cost enhance its efficiency, which has far-reaching implications for sustainable energy management resource allocation. However, because non-convex nature finding...

This study proposes an incorporated strategy based on energy storage systems (ESSs) like plug-in electric vehicles (PEVs) with load frequency control (LFC) to enhance the stability during high penetration of renewable sources (RESs). Furthermore, innovative-cascaded controller is used in LFC loop, and PEVs are considered two identical areas' multi-source power grids. The proposed structure using terms, first term fractional-order-proportional-derivative (FOPD), second cascaded a...

Abstract Solving the energy management (EM) problem in microgrids with incorporation of demand response programs helps achieving technical and economic advantages enhancing load curve characteristics. The EM problem, its large number constraints, is considered as a nonlinear optimization problem. Artificial rabbits has an exceptional performance, however there no single algorithm can solve all engineering So, this paper proposes modified version artificial algorithm, called QARO, by quantum...

Abstract This article proposes the use of a leader white shark optimizer (LWSO) with aim improving exploitation conventional (WSO) and solving economic operation-based load dispatch (ELD) problem. The ELD problem is crucial aspect power system operation, involving allocation generation resources to meet demand while minimizing operational costs. proposed approach aims enhance performance efficiency WSO by introducing leadership mechanism within optimization process, which aids in more...