An effective Lightning Flash Algorithm solution to large scale non-convex economic dispatch with valve-point and multiple fuel options on generation units. (15th June 2017)

• Record Type: Journal Article
• Authors: Kheshti, Mostafa; Kang, Xiaoning; Bie, Zhaohong; Jiao, Zaibin; Wang, Xiuli
• Is Part Of: Energy. Volume 129(2017)
• Page Start: 1
• Page End: 15
• Publication Date: 2017-06-15
• Subjects: Power generation -- Multiple fuel option -- Valve-point effects -- Economic dispatch -- Optimization; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2017.04.081
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Generation units with multiple fuel options and valve-point loading effects on the generators are fundamental parts of power system generation. However, economic dispatch (ED) of these units have non-convex, non-continuous generation cost functions. In this paper, a new Lightning Flash Algorithm (LFA) is proposed to solve complex non-convex ED problems in large scale power systems considering multiple fuel options and valve point effects on the generators. Five case study systems including 10-units, 40-units, 80-units, 160-units and 640-units are conducted to validate the applicability and effectiveness of the proposed LFA method for solving ED problems. The results are compared with other published methods in literature and confirm the applicability and effectiveness of LFA against other existing methods. LFA can successfully conduct the best fuel types of the generators and adjust the optimum settings to allocate load demand to the online generation units in power system. The results demonstrate that using proposed LFA method can minimize the total generation costs and optimally satisfy the load demands in the power grid. Highlights: Lightning Flash Algorithm (LFA) is proposed inspired from lightning phenomenon. LFA is used to solve practical non-convex economic dispatch with multiple fuels. Five large scale test systems are used to validate the effectiveness of LFA. Results are compared with other algorithms reported in literature. Results show higher quality solution, less fuel costs and better performance of LFA.