This article will provide an overview of the application of Particle Swarm Optimization (PSO) to optimize the performance of the IEEE 69 Bus System using MATLAB programming. It will discuss key concepts related to PSO, such as its search methodology, velocity equations, and inertia constants, and explain how they can be used in order to …
PSO Optimization – IEEE 69 Bus System – MATLAB Programming Read More »
Principle and Operation of DSTATCOM : DSTATCOM stands for Distribution Static Compensator and is an important device used to enhance the power quality in a distribution or transmission system. It essentially functions as a reactive power source which helps to balance the voltages on different parts of the distribution network by providing real or reactive …
DSTATCOM and Renewable Energy (Solar, Wind) – Matlab Simulink Read More »
Load flow analysis is a critical step in power system design and optimization. It’s used to calculate the steady-state operating conditions of a power system and is a major part of power system planning, operation, and control. This analysis can be done manually or by using specialized software such as MATLAB Simulink. In this blog …
Load Flow Analysis – Matlab Simulink – IEEE 14 Bus System Read More »
Distributed generation (DG) is an increasingly popular way of providing energy to homes and businesses. It relies on generating power at the point of use, rather than relying on a centralized energy source. While this method can save money, it requires that you have the right programming languages to make it work properly. One such …
Distributed Generation – DG – Matlab Programming Read More »
Electrical energy and Battery Storage To help utilities move forward to achieve goals, several benefits are offered by the Energy Storage System. The primary benefit of ESS is the reliability of the system. As the interested customers are willing to pay to avoid any interruption in power, the costs are optimized concerning reliability. A methodology …
Energy Storage System and Load Shedding – Matlab Programming Read More »
Project Intend: Programmers and researchers looking to utilize Brain-Computer Interface (BCI) technology Introduction Brain-computer interfacing (BCI) is a technology that enables users to interact with their environment using brain signals. Brain-Computer Interfaces (BCIs) are a form of neurotechnology that allow users to interact with machines, computer systems, or robotic devices using electroencephalography (EEG) signals. BCI …
Brain Computer Interface for Left/Right Hand Classification using Matlab Read More »
The integration of distributed generation (DG) into power systems is becoming more popular. To analyze the effects of multiple DG units, we can use the IEEE 14 bus system and MATLAB code to simulate their implementation. Let’s take a closer look at this process. What is an IEEE 14 Bus System? An IEEE 14 bus …
Implementation of Multi DG on IEEE 14 Bus System Read More »
Overview and Development: Particle Swarm Optimization is one of the most important algorithms used in modern data analysis and mathematical programming. This algorithm aims to find the best solution or feasible solution for a given optimization problems. The basic idea is that you keep a set of similar differentiable functions placed in a cluster, and …
PARTICLE SWARM OPTIMIZATION (PSO) MATLAB CODE EXPLANATION Read More »
The purpose of this article is to discuss how to implement solar and wind energy generation on an example system. This article will also go into some detail about what each type of power source can contribute to the grid, and how to use them in your home or business’s electricity supply. Power sources such …
Solar and Wind Distribution Generation – IEEE 33 Bus System Read More »
The optimal location and sizing of distributed generation (DG) units in a power distribution system can be determined using various optimization techniques. One approach is to use a Matlab code to simulate the power distribution system and optimize the placement and size of the DG units to meet certain objectives, such as minimizing losses, maximizing …
