Economic Dispatch Problem Solution via Holomorphic Embedding Method on IEEE 14-Bus System for Different Loading Scenarios

This paper presents an approach for solving the Economic Dispatch Problem (EDP) in power systems considering transmission losses in a recursive manner via a Holomorphic Embedding Method (HEM) applied to the IEEE 14 Bus system and tested for different loading scenarios. The HEM methodology has been p...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2024-03, Vol.60 (2), p.2664-2672
Main Authors: Ramos, Ana Catarina Salles, Freitas, Francisco Damasceno, Zizzo, Gaetano
Format: Article
Language:English
Subjects:
Costs
Economic dispatch problem
Embedding
Fuels
Generators
holomorphic embedding model
Loading
lossy transmission system
Mathematical analysis
Mathematical models
Nonlinear equations
nonlinear system
optimization
Power dispatch
Power flow
Power generation
Propagation losses
Transmission loss
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Summary:This paper presents an approach for solving the Economic Dispatch Problem (EDP) in power systems considering transmission losses in a recursive manner via a Holomorphic Embedding Method (HEM) applied to the IEEE 14 Bus system and tested for different loading scenarios. The HEM methodology has been proposed recently in power system to solve the power flow problem. The technique was adapted in this work for solving directly the nonlinear equation system that arises when the EDP lossy optimization problem is formulated. In order to validate the method three different loading scenarios were created to observe the method's response to systems with a diverse computational and mathematical demand. In order to demonstrate the efficacy of the approach, experiments are carried out employing the Matlab platform. The performance of the proposed technique is evaluated by using the classical Newton-Raphson (NR) method. The methodology presents similar results compared to the NR method, however having higher performance when compared in terms of convergence.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2023.3344694