A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm. (June 2018)

• Record Type: Journal Article
• Authors: Hamian, Melika; Darvishan, Ayda; Hosseinzadeh, Mehdi; Lariche, Milad Janghorban; Ghadimi, Noradin; Nouri, Alireza
• Is Part Of: Engineering applications of artificial intelligence. Volume 72(2018)
• Page Start: 203
• Page End: 212
• Publication Date: 2018-06
• Subjects: Auction mechanisms -- Branch and cut -- Locational marginal price (LMP) -- Mixed Integer Genetic Algorithm -- Payment cost minimization (PCM); Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2018.03.022
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: In this paper, a methodology has been proposed to decrease the solution time of the joint energy-reserve market clearing problem under Payment Cost Minimization (PCM) mechanism. PCM mechanism is recently proposed to replace the available economically-inefficient clearing mechanisms in electricity markets. While the exact methods have been successfully applied to solve the market clearing problem under available mechanisms, their computational efficiency is poor when applied to solve this problem under PCM mechanism due to special characteristics of PCM formulation. The proposed solution methodology uses linear programming along with Mixed Integer Genetic Algorithm (MIGA) to minimize the payment cost. Most of efforts are focused on speeding up the applied optimization technique, since the available frameworks for solving the PCM problem suffer from very slow convergence. Different custom-designed functions have been added to the basic MIGA to decrease the solution time. The results are compared to those obtained using branch and cut technique.