Optimization Methods for Optimal Power Flow Problems in Distribution Networks: A Brief Review
Authors:
- 1 April 2023
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1400-1406
Abstract
The increasing use of distributed generators (DGs) in distribution networks has led to the development of various methods for optimal power flow (OPF) analysis. OPF is a technique that aims to control the generation and consumption of power sources and loads in a network to optimize certain objectives, such as minimizing generation cost, network losses, voltage deviation, or environmental impact. Different methods have different assumptions, formulations, algorithms, and solutions for the OPF problem involving DGs. This paper provides a brief review of these methods and analyze the strengths and weaknesses of these methods. It also compares their performance and applicability based on previous works in the literature. The paper concludes with some suggestions for future research directions in this field, such as incorporating uncertainty, reliability, security, and stability issues into the OPF analysis.Keywords
This publication has 46 references indexed in Scilit:
- A Multi-layer Optimized Configuration Method for Energy Storage Device and Compensation Device on Long-Chain Power Distribution Line2021
- Optimal Placement of Distributed Generation using Genetic Algorithm2021
- Multi-Objective Particle Swarm optimization Applied on the Optimal Reactive Power Dispatch in Electrical Distribution Systems2020
- A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration2020
- Optimal Location of DGs Into the Power Distribution Grid for Voltage and Power Improvement2020
- Multi-Objective Bi-Level Optimal Dispatch Method of Active Distribution Network Considering Dynamic Reconfigurations2020
- Dynamic optimal power flow in distribution networks with wind/PV/storage based on second-order cone programming2020
- Optimal Control of Reactive Power and Voltage in Active Distribution Network Based on Source-Grid-Load Interaction2020
- Research on Optimal Power Flow Control of Closed-Loop Distribution Network with Superconducting Cable2020
- A multi-objective bees algorithm for multi-objective optimal power flow problem2011