Integration of distributed generation units (DGs) and capacitor banks (CBs) in distribution systems aim to enhance the system performance. This paper proposes water cycle algorithm (WCA) for optimal placement sizing DGs CBs. The proposed method aims achieve technical, economic, environmental benefits. Different objective functions: minimizing power losses, voltage deviation, total electrical energy cost, emissions produced by sources improving stability index are considered. WCA emulates...

This study presents a two-stage procedure to identify the optimal locations and sizes of capacitors in radial distribution systems. In first stage, loss sensitivity analysis using two indices (LSIs) is employed select most candidate locations. second ant colony optimisation algorithm investigated find considering minimisation energy capacitor costs as objective functions while system constraints are fully achieved. The fixed, practical switched combination fixed considered solution....

In recent years, with the widespread use of non-linear loads power electronic devices associated penetration various renewable energy sources, distribution system is highly affected by harmonic distortion caused these sources. Moreover, inverter-based distributed generation units (DGs) (e.g., photovoltaic (PV) and wind turbine) that are integrated into systems, considered as significant sources severe harmful effects on quality. To solve issues, this paper proposes a mitigation method for...

This paper introduces a proposed approach to estimate the optimal parameters of photovoltaic (PV) modules using in-field outdoor measurements and manufacturers' datasheet as well employing nonlinear least-squares fitting algorithm. The main goal is determine parameter values implemented model which are: series resistance, reverse saturation current, photocurrent, ideality factor shunt resistance in case five model. A Microsoft Excel spreadsheet developed order perform modeling analysis...

The output generations of renewable energy sources (RES) depend basically on climatic conditions, which are the main reason for their uncertain nature. As a result, performance and security distribution systems can be significantly worsened with high RES penetration. To address these issues, an analytical study was carried out by considering different penetration strategies in radial system. Moreover, bi-stage procedure proposed optimal planning first stage concerned calculating locations...

This paper presents a study on the technical, economic, and environmental aspects of renewable energy resources-based distributed generation units (DGs). These are connected to medium-voltage network create new structure called microgrid (MG). Renewable energies, especially wind solar, most important among DGs. The stochastic behavior resources increases need find optimum operation MG. optimal typical MG aims simultaneously minimize operational costs accompanied emission pollutants over...

Integration of distributed generating (DGs) units helps in reducing the extreme loading on main power grid. DGs are convoyed with high fault currents. High currents exceed ratings circuit breakers. This article proposes optimal allocation different types correlated current limiters (FCLs) single stage. The proposed method is assessed two-stage approach that carried out based coyote optimization algorithm (COA) and electrical transient analyzer program (ETAP) at normal faulty operating...

The majority of power utilities have targeted pretentious clean and efficient energy plans. These plans are accompanied in driving down the cost biomass distributed generation units (BDGs). This paper proposes an optimal allocation procedure BDGs to enhance performance distribution systems reduce related environmental emissions. proposed aims maximize utilities' benefits terms loss reduction, sales excess, pollutant emission reduction. It also takes into consideration minimization annual...

This paper proposes an improved binary bat algorithm (IBBA) for solving static and dynamic transmission network expansion planning (TNEP) problems standard realistic networks considering different objective functions (OFs). The proposed IBBA has two modifications to enhance the solution quality based on multi V-shaped transfer function adaptive search space (ASS). is applied solve TNEP problem. A two-stage procedure employed In stage-1, neuro-fuzzy inference system (ANFIS) utilized find...

The combined economic and emission dispatch (CEED) problem is a multi-objective non-linear optimization with several constraints. Its target searching for optimum generation outputs of available generating units in power system to supply the electrical loads transmission losses at minimum costs pollutant emissions. To achieve an optimal solution this problem, paper proposes application new meta-heuristic optimizer called crow search algorithm (CSA). CSA inspired from intelligent attitude...

This paper proposes a multi-objective fuzzy linear programming (MFLP) procedure for maximizing the effects of preventive reactive power control actions to overcome any emergency condition when they occurred. The proposed is very significant and seeks eliminate violation constraints give an optimal reserve multi-operating conditions. functions are: minimizing real transmission losses, at certain generator all generation systems and/or switchable devices. MFLP applied 5-bus test system West...

Statistical distribution approaches have been developed to describe wind data due the intermittent and unpredictable nature of speed. The Weibull with two parameters is thought be most accurate for modeling data. This study seeks energy assessment via searching optimal estimation parameters. For this target, analytical heuristic methods are investigated. involve maximum likelihood, moment, pattern factor, empirical methods, while optimization algorithms include particle warm Aquila optimizer...