The acceptance rate of Electric Vehicles (EVs) in the transport industry has increased substantially due to the augmented interest towards sustainable transportation initiatives. However, their impact in terms of increased power demand on the electric power market can increase real power losses, decrease voltage profile, and consequently decrease voltage stability margins. It is necessary to install Electric Vehicle Charging Stations (EVCSs) and Distributed Generators (DGs) at optimal locations to decrease the EV load effect in the Radial Distribution System (RDS). This paper addresses a multi-objective optimization technique to obtain simultaneous EVCS & DG placement and sizing. The problem is formulated to optimize real power losses, Average Voltage Deviation Index (AVDI), and Voltage Stability Index (VSI) of the electrical distribution system. Simulation studies were performed on the standard IEEE 33-bus and 69-bus test systems. Harries Hawk Optimization (HHO) and Teaching-Learning Based Optimization (TLBO) algorithms were selected to minimize the system objectives. The simulation outcomes reveal that the proposed approach improved system performance in all aspects. Among HHO and TLBO, HHO is reasonably successful in accomplishing the desired goals.

An economical load flow study is needed for automatic distribution network for designing, operation, economic dispatch, stability analysis & contingency analysis. This paper introduces an easy three phase unbalanced load flow technique which will handle unbalanced radial secondary distribution networks. The proposed technique uses the modified Forward-Backward technique that addresses the constant-power, constantimpedance and constant-current load models, regulators, transformers and switches. It solves an easy algebraic algorithmic expression of voltage magnitude. The suggested technique having better convergence rate and execution time is also less for any type of load model, size of the network, and resistance to reactance ratio of feeders.19-bus and 25 bus URDNs results are in agreement with the literature and show that the suggested technique is efficient and reliable.

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The optimum position and volume of the Distributed Generation to be planned in the unbalanced radial distribution network (URDN) is critical to minimize power losses. Incorrect size and location may enhance the power losses and voltage regulation. This paper investigates the operations of the distribution system and aims to develop a new technique to solve the problem of placement and sizing distributed generation to minimize power loss, improving the profile of voltage. A Novel Sensitivity Analysis is used to estimate the optimal position and volume of DG units to be installed in a URDN. The proposed technique is validated on the 25 bus test system to illustrate and evaluate the correctness. The results are confronted with the results of distinct methods available in the literature. The performance of the proposed method is considered to be better in terms of the quality of the solutions than the other classical techniques..