Abstract
Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning attachment procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning attachment procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The scenario-based method is used to generate a set of scenarios captured from the uncertainties of solar irradiance and wind speed as well as load demand. The proposed ILAPO algorithm is employed to, optimally, dispatch the reactive power in the presence of RERs. The power losses and the total voltage deviations are used as objective functions to be minimized. The proposed algorithm is validated using IEEE 30-bus system under deterministic and probabilistic conditions. The obtained results verified the efficacy of the proposed ILAPO for ORPD solution compared with the traditional LAPO and other reported optimization algorithms.
Highlights
The problem of optimal reactive power dispatch (ORPD) is an important task to be solved for improving the performance, security, and reliability of electrical systems
SIMULATION RESULTS The proposed algorithm is applied to addresses the ORPD, and it is tested on the IEEE 30-bus system
The program code for solving the ORPD was written by MATLAB software, and it has been performed on a Core I5 PC with 4GB RAM
Summary
The problem of optimal reactive power dispatch (ORPD) is an important task to be solved for improving the performance, security, and reliability of electrical systems. In [28], the adaptive differential evolution has been utilized to address the ORPD, and the uncertainties of RERs and loads were considered using a scenario-based strategy. In [29], have the Quantum-behaved particle swarm optimization differential mutation (QPSODM) has been employed for solving the ORPD under RERs and load uncertainties on the practical Adrar’s power system and IEEE 14-bus. In [30], have solved the ORPD, considering the uncertainties of the wind and load powers. In [31], the two-point estimation method has been applied for uncertainty modelling of the load for solving ORPD. 2- Applying the proposed algorithm to address the ORPD problem under inclusion RERs. 3- The ORPD is solved under the uncertainties of load demand and the RERs including the wind and solar PV sources.
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