Fast Atom Search Algorithm for Reactive Power Optimization of Power Grid with High-Penetration Wind and Solar Energies

Fang Zeng,Hongchun Shu,Xiao-Shun Zhang

doi:10.1155/2020/6657181

Abstract

This paper constructs a reliable reactive power optimization (RPO) model of power grid with the controlled participation of high-penetration wind and solar energies and provides a novel fast atom search optimization (FASO) algorithm to reach a set of solutions to the RPO problem. The developed FASO algorithm owns prominent merits of high searching efficiency and premature convergence avoidance compared with the original atom search optimization (ASO) algorithm, which is applied to determine the optimal dispatch scheme including terminal voltage of generators, the capacity of static VAR compensator (SVC), reactive power output of wind and solar energies, and the tap ratio of transformers. There are two objective functions to be minimized for maintaining the safe and reliable operation of power grid, i.e., total power loss of transmission lines and total voltage deviation of nodes. Meanwhile, the regulation capacities of wind farms and photovoltaic (PV) stations are evaluated based on different weather conditions, i.e., wind speed and solar irradiation. Particularly, the reactive power outputs of wind and solar energies can be globally controlled to coordinate with other controllable units instead of a local self-control. Eventually, the extended IEEE 9-bus and IEEE 39-bus systems are introduced to test the performance of the FASO algorithm for RPO problem. It has been verified that FASO can not only meet the optimal regulation requirements of RPO but also obtain high-quality regulation schemes with the fastest convergence speed and highest convergence stability in contrast with else algorithms.

Highlights

The share of renewable energy sources (RESs) in the power grid is ever-increasing due to their relatively lowcost and sustainability features [1,2,3]
Reactive Power Optimization Model. e reactive power optimization (RPO) model constructed in this paper aims to minimize the total power loss in all transmission lines and total voltage deviation of all nodes, as follows: min f(x)
Design of Fast Atom Search Optimization Algorithm e proposed fast atom search optimization (FASO) algorithm is developed from the original atom search optimization (ASO) algorithm, which is inspired by the molecular dynamics in nature, where each atom in the populations will interact with others by means of the interaction forces resulting from Lennard–Jones (L-J) potential and the geometric constraints between them [40]. e interactions among atoms contain two options, i.e., repulsion and attraction. e farmer is used to avoid overcrowding of atoms while the latter is to bind atoms together

Summary

Introduction

The share of renewable energy sources (RESs) in the power grid is ever-increasing due to their relatively lowcost and sustainability features [1,2,3]. RESs satisfy active power demand on the power grid and have definite potential in reactive power regulation [17, 18]. The objectives are reached by determining optimal control variables in the power system, including generator voltages, tap ratio of the transformers, and reactive power output of reactive power compensation device [22, 23]. For the sake of developing the full potential in reactive power regulation of RESs, the appropriate reactive power outputs of RESs should be globally controlled to coordinate with other control variables instead of local self-control [16, 24]

Objectives

Methods

Findings

Conclusion