Title: Multi-source coordinated scheduling strategy of wind power-PV-CSP considering high energy load

Authors: Xiaoying Zhang; Wei Xiong; Kun Wang; Xiaolan Wang; Wei Chen

Addresses: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China ' College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China ' State Grid Gansu Electric Power Company Marketing Service Center, Lanzhou, 730050, China ' College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China ' College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

Abstract: This paper discusses wind power, PV, and concentrating solar power (CSP) as a new energy hybrid generation mode, and proposes to use high-energy load as a schedulable resource to participate in the optimal scheduling strategy of new energy hybrid power generation. The optimal scheduling mode considers the controllability of a CSP plant and the adjustability of high energy load. The multi-objective optimisation scheduling models are constructed with the minimum power output fluctuation of hybrid system and the maximum economic benefits of grid-connection. The NSMODE algorithm is used to optimise the solution. Finally, the simulation analysis of the scheduling mode is carried out. The simulation results show that the participation of CSP plant and high energy load make the power fluctuation of the hybrid power generation system decrease and the economic benefits of increased grid-connection, and the amount of unused wind and light is significantly reduced.

Keywords: new energy hybrid power generation; multi-objective optimisation; high energy load; NSMODE; optimal scheduling.

DOI: 10.1504/IJMIC.2020.110357

International Journal of Modelling, Identification and Control, 2020 Vol.34 No.2, pp.116 - 126

Received: 25 Nov 2019
Accepted: 13 Feb 2020
Published online: 15 Oct 2020 *

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