Power flow optimization in cyber-physical systems using lellyfish optimization technique
TL;DR
The algorithm's effectiveness in assuring an ideal and affordable power flow solution is demonstrated by its ability to handle the intermittent nature of renewable energy sources and the limitations of thermal generators.
Abstract
Cyber-physical systems (CPS) are under increasing strain, which has created a number of problems for the power system, including voltage instability, line overloads, and rising power losses. In order to solve these problems, it is essential to strategically deploy energy resources at the right nodes to maximise real and reactive powers, hence lowering losses and enhancing the voltage profile, especially in crowded networks. Grid operators can more effectively meet the demand for electricity while preserving the stability of the power system thanks in large part to power flow optimisation. However, because they are unpredictable, integrating intermittent renewable energy sources (RESs) presents particular difficulties. The power flow model put out in this study includes four different kinds of energy sources: thermal power plants (which stand in for traditional energy sources), wind power plants, battery charging stations, and solar photovoltaic power plants (which represent renewable energy sources). The goal is to assess the efficiency of the upgraded IEEE 30-bus test system through optimisation utilising an integrated strategy integrating fuzzy logic and jellyfish search optimizer (JS). Practical factors like the thermal generators' ramp rate restrictions and the erratic generation patterns of renewable energy sources are taken into account by the suggested algorithm. The algorithm effectively solves the optimum power flow (OPF) problem by minimising overall generating costs and reaching solution convergence, as shown by simulation results. The suggested method demonstrates its effectiveness in solving the difficulties of power flow optimisation by taking into account real-world scenarios and adding the complexities associated with RESs. The algorithm's effectiveness in assuring an ideal and affordable power flow solution is demonstrated by its ability to handle the intermittent nature of renewable energy sources and the limitations of thermal generators.