Trong nghiên cứu này, ba phiên bản của giải thuật tối ưu bầy đàn (PSO) bao gồm tối ưu bầy đàn cổ điển, tối ưu bầy đàn với vận tốc quán tính, và tối ưu bầy đàn với hệ số giới hạn được áp dụng để xử lý bài toán tối ưu hóa lợi nhuận của nhà máy nhiệt điện. | JOURNAL OF TECHNICAL EDUCATION SCIENCE Ho Chi Minh City University of Technology and Education Website https ISSN 1859-1272 Email jte@ Improve Particle Swarm Optimization Algorithm to Optimize the Profit of a Thermal Power Plant Using Different Revenue Models Nguyen Ngoc Thiem1 Phan Minh Tan2 Nguyen Trung Thang2 Le Chi Kien3 1Industrial University of Ho Chi Minh City Vietnam 2Ton Duc Thang University Vietnam 3Ho Chi Minh City University of Technology and Education Vietnam Corresponding author. Email kienlc@ ARTICLE INFO ABSTRACT Received 22 12 2021 In this research three versions of particle swarm optimization algorithm such as conventional particle swarm optimization PSO particle swarm Revised 15 2 2022 optimization with inertia weight and particle swarm optimization with Accepted 12 3 2022 constriction factor are applied for handling the economic load dispatch problem under the competitive electric market. The main work of the PSO Published 30 8 2022 algorithms is to determine the most optimal power output of generators to obtain total profit as much as possible for the power companies without KEYWORDS violation of constraints. These algorithms are tested on three and ten Particle swarm optimization generators system using two different revenue models. The results obtained Inertia weight from the algorithm simulation are compared to each other as well as to the other methods to evaluate the algorithm efficiency and robustness. As a Constriction factor result the improved PSO algorithms are very strong to solve the economic Revenue model load dispatch problem for profit optimization because they can obtain the Converge speed. highest profit fast converge speed and simulation time. Cải Tiến Giải Thuật Tối Ưu Bầy Đàn Để Tối Ưu Hóa Lợi Nhuận Của Nhà Máy Nhiệt Điện Trong Các Mô Hình Doanh Thu Khác Nhau Nguyễn Ngọc Thiêm1 Phan Minh Tân2 Nguyễn Trung Thắng2 Lê Chí Kiên3 1TrườngĐại học Công nghiệp Thành phố Hồ Chí Minh Việt .
