Distributed Power Integration in Distribution Systems: MATLAB-Based Power Flow Analysis with Supporting Source Code
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This research provides high-quality source code supporting an excellent academic paper. The integration of distributed power sources transforms distribution systems from radial passive networks into active networks containing distributed small and medium-sized power sources. While this introduces challenges such as uncertainty in current direction (previously unidirectional) and increased complexity in control and management, distributed generation simultaneously offers significant advantages including improved grid reliability and green energy benefits. To better utilize distributed power sources for societal benefit, we must conduct comprehensive research and analysis to develop effective solutions.
This paper implements a methodology using MATLAB simulation software to develop power flow calculation programs that model distributed power integration into distribution networks. The implementation involves creating custom algorithms for load flow analysis, incorporating distributed generation parameters into the network equations. We selected a 34-node distribution network model and analyzed various scenarios including different integration locations and capacities for both single and multiple distributed power sources. The MATLAB code implements Newton-Raphson or forward-backward sweep algorithms to handle the radial network structure with embedded generation sources.
Through our computational analysis, we derived the following conclusions:
- Distributed power integration can reduce network losses in distribution systems
- Distributed power integration improves voltage conditions at distribution network nodes
- Multiple distributed power sources demonstrate superior performance compared to single source integration
In summary, while distributed power integration presents certain challenges, its advantages significantly outweigh the disadvantages. We should continue exploring and researching distributed power applications in distribution systems to achieve more reliable and efficient power supply. The developed MATLAB code provides a foundation for further studies in optimal placement and sizing of distributed generation resources.
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