Work

Dynamic Economic Dispatch for Electrical Systems With Renewable Energy Integration Using Artificial Intelligence

Year: 2025

Type: article

Abstract: Electricity is crucial to energy markets and Sustainable Hybrid Electrical Systems (SHEE) integrate thermoelectric and renewable sources for sustainability. Dynamic economic dispatch (DED) optimizes power generation but presents financial, technical and computational-related challenges. This study develops a hybrid method for combining genetic algorithms (GA), sequential quadratic programming (SQP) and interior point method (IP) to solve DED for a 10-generator system. The approach used increases accuracy and convergence speed, producing competitive results. The integration of GA, SQP, and IP addresses the complexities of DED effectively, promoting sustainable power generation in hybrid systems.

Source: Brazilian Journal of Petroleum and Gas

DOI: 10.5419/bjpg2025-0002

Authors: H. H. D. Mangueira Filho, V. L. Paucar, R. N. D. Costa Filho

Institution: Universidade Federal do Maranhão

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

Funders: Agência Nacional do Petróleo, Gás Natural e Biocombustíveis, Universidade Federal do Maranhão