Unit commitment using improved adjustable robust optimisation for large-scale new energy power stations

• Main Authors: Lian-cheng Xiu, Zhi-liang Kang, Peng Huang
• Format: Article
• Language: English
• Published: Wiley 2018-10-01
• Series: The Journal of Engineering
• Subjects: power generation scheduling; power generation dispatch; particle swarm optimisation; thermal power stations; scheduling; power generation economics; optimisation; power system; electricity costs; standard IEEE 10-generator 39-bus system; adjustable robust optimisation; light integrated power systems; conventional thermal generating unit; switch machine cost; thermal power plant; generating costs; optimal unit commitment; light power; energy power stations; optimal operation scheduling
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8926

In order to minimise the electricity costs of the power system, this paper proposes an optimal operation scheduling for large-scale new energy power stations with the uncertainty of wind and light power. The proposed scheduling method provides the optimal unit commitment and the economic operation, and it not only considers the generating costs of new energy power stations and thermal power plant but also considers switch machine cost of conventional thermal generating unit. The unit commitment of wind and light integrated power systems has a numerous of non-linear characteristics, so the uncertainties require algorithm that can handle large amounts of robustness. Adjustable Robust Optimisation (ARO) can handle the uncertainty very well and is determined to be the main optimisation. At the same time, Particle Swarm Optimisation Algorithm (PSOA) is used to speed up the convergence. In summary, PSOA and ARO combination scheduling is demonstrated by the standard IEEE 10-generator 39-bus system. The improved ARO of simulation results prove that the conclusion of this paper is correct.