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.
Ana C. Salles Ramos, Francisco Damasceno Freitas, Gaetano Zizzo (2024). Economic Dispatch Problem Solution Via Holomorphic Embedding Method on IEEE 14-Bus System for Different Loading Scenarios. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 60(2), 2664-2672 [10.1109/TIA.2023.3344694].
Economic Dispatch Problem Solution Via Holomorphic Embedding Method on IEEE 14-Bus System for Different Loading Scenarios
Ana C. Salles Ramos
;Gaetano Zizzo
2024-01-01
Abstract
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.File | Dimensione | Formato | |
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