All classes Distributed Generation Optimization PSO-GWO Syllabus · Episode 1 of 6

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data

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Tutorial on distributed generation optimization using Python. Episode 1: Radial IEEE 33-bus distribution system, line and load data, per-unit, and single-line diagram.

Software: Python (NumPy, Metaheuristik)
Level: Intermediate
Duration: ± 12 min
Series total: 1 h · 6 videos
Published: October 25, 2026

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Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Cover: Class Optimizing Distributed Generation PSO-GWO #1: Radial Distribution System IEEE 33-Bus: Line and Load Data

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Before you start, steps list, and Step 1

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Step 2–3: Base Values & Line Data

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Step 4: Network Summary

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Step 5: Single-Line Diagram

Class Optimizing Distributed Generation PSO-GWO #1: Radial IEEE 33-Bus Distribution System: Line and Load Data: Done: Final Result and Further Practice

Cover: Class Optimizing Distributed Generation PSO-GWO #1: Radial Distribution System IEEE 33-Bus: Line and Load Data

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Transcript

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Introduction

This is the final result, a one-line diagram of the radial IEEE 33-bus distribution system, complete with the load magnitude at each point. This network will be optimized by placing distributed generators using the Hybrid PSO and Gray Wolf Optimizer algorithms. Let's start. Hello, welcome to the research tutorial series, optimization of placement and capacity of Distributed Generation with Hybrid PSO GWO. Distributed Generation, or DG, is a small generator such as solar or micro-hydro that is installed close to the load in the distribution network. If the location and size are correct, power losses decrease and voltage improves. If incorrect, it can actually worsen the situation. In this 6-part series, we build everything from scratch with Python, including the network data, power flow, objective function, PSO, and Gray Wolf, hybrid algorithm, up to comparison analysis. In this first episode, we get to know the IEEE 33-bus test system.

Step 1: Installing the library

We open the terminal through the terminal menu, new terminal, then install the library for this series, only numpy and matplotlib, since we write all the algorithms ourselves. The test system used is the IEEE 33-bus from P perbaran and WU in 1989, a standard system used in hundreds of DG placement research studies. Create a file named underscore IEEE33.py

Step 2: Base values & line data

The base voltage is 12.66 kV and the base power is 1 MVA, so the base impedance is the square of the voltage divided by the power. The line table contains 32 rows, with source bus, destination bus, resistance, and reactance in ohms. Since the network is radial, every bus except the substation has only one incoming line. The load table contains active power in kW and reactive power in kV for the 33 buses.

Step 3: Load data & per-unit

Bus 1 is the substation or slack bus with no load. At the end, we prepare the source and destination bus indices based on 0, the line impedance in per unit, and the complex load in per unit, which will be used in the power flow calculations. Create a file named exploration underscore network.py and run it.

Step 4: Network summary

There are 33 buses and 32 lines, with a total load of 3.715 kW and 2.300 kV. The base impedance is around 160 ohms. The largest load is at bus 24 and 25, each 420 kW.

Step 5: One-line diagram

Now the one-line diagram. We determine the position of each bus. The main feeder from bus 1 to 18 is horizontal, followed by three lateral branches from bus 2, 3, and 6. Run. The red box is the substation, and the size and color of the points indicate the load magnitude. Bus 18 and 33 are the farthest from the substation, so their voltage is the lowest, as we will verify in the next episode. Done.

Done!

We have now learned about distributed generation, loaded the IEEE 33-bus line and load data, understood per-unit quantities, and drawn the radial network one-line diagram. In the next episode, we will calculate the power flow using the backward-forward sweep method to obtain the power loss and voltage profile. Currently working on a thesis, dissertation, or research in the field of power systems and renewable energy? And, Cerdas Inovasi Digital helps with the implementation of power system optimization, from backward-forward sweep power flow, placement and capacity of distributed generation, PSO, gray wolf optimizer, up to hybrid algorithms, and also opens Python programming courses for electrical engineering. Want to master the entire series, from IEEE 33-bus data to algorithm comparison analysis? All 6 episodes, complete with PDF step-by-step guides and source code, are available to premium tutorial subscribers. Subscribe starting at Rp69.000 per month, save 28% with the 12-month package, or one-time payment of Rp999.000 for lifetime access. Want just one class? Buy the single class with lifetime access. Subscribe now at the premium page cerdasinovasidigital.com. Contact our WhatsApp or visit cerdasinovasidigital.com. Thank you for watching, see you in the next episode.

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Transcript

0:03Introduction

1:06Step 1: Installing the library

1:37Step 2: Base values & line data

4:37Step 3: Load data & per-unit

6:17Step 4: Network summary

7:56Step 5: One-line diagram

10:51Done!

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Transcript

0:03Introduction

1:06Step 1: Installing the library

1:37Step 2: Base values & line data

4:37Step 3: Load data & per-unit

6:17Step 4: Network summary

7:56Step 5: One-line diagram

10:51Done!

Ask the class material

My notes

Questions & answers

Your instructor

Introduction

Step 1: Installing the library

Step 2: Base values & line data

Step 3: Load data & per-unit

Step 4: Network summary

Step 5: One-line diagram

Done!

Introduction

Step 1: Installing the library

Step 2: Base values & line data

Step 3: Load data & per-unit

Step 4: Network summary

Step 5: One-line diagram

Done!