Optimal economic load dispatch based on wind energy and risk constrains through an intelligent algorithm. (9th September 2016)

• Record Type: Journal Article
• Authors: Ghaffari, Sina; Aghajani, Gholamreza; Noruzi, Alireza; Hedayati Mehr, Hadi
• Is Part Of: Complexity. Volume 21(2016)Supplement 2
• Page Start: 494
• Page End: 506
• Publication Date: 2016-09-09
• Subjects: shark smell optimization -- economic load dispatch -- risk constrains -- wind power; Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1002/cplx.21829
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : This article focus on optimal economic load dispatch based on an intelligent method of shark smell optimization (SSO). In this problem, the risk constrains has been considered which has root in uncertainity and unpredictable behavior of wind power. Regarding to increasing of this clean energy in power systems and un‐dispatchable behavior of wind power, its conditional value at risk index considered in this article which consists of loss from load and "spilling" wind energy connected with unpredictable imbalances among generation and load. This problem has been considered as an optimization problem based on SSO that evaluate the balance between cost and risk. This algorithm is based on distinct shark smell abilities for localizing the prey. In sharks' movement, the concentration of the odor is an important factor to guide the shark to the prey. In other words, the shark moves in the way with higher odor concentration. This characteristic is used in the proposed SSO algorithm to find the solution of an optimization problem. Effectiveness of the proposed method has been applied over 30‐bus power system in comparison with other techniques. © 2016 Wiley Periodicals, Inc. Complexity 21: 494–506, 2016