A two-stage model for capacity planning of centralized charging station and ordered discharging

Issue title: Special Section: Fuzzy theoretical model analysis for signal processing

Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin

Article type: Research Article

Authors: Gan, Haiqing^{a; *} | Zheng, Chuiyong^a | Cui, Hantao^b

Affiliations: [a] Business School, Hohai University, Nanjing, China | [b] Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA

Correspondence: [*] Corresponding author. Haiqing Gan, Business School, Hohai University, Nanjing 210098, China. E-mail: [email protected].

Abstract:  In this paper, in the so-called centralized charging and unified distribution mode, a two-stage optimization model is proposed for capacity planning and ordered discharging strategies of centralized charging stations considering the peak-shaving effects. Firstly, the operating states of battery pack are analyzed at each moment by combining with distribution modes, then the first stage planning is processed, that is, by taking the numbers of battery pack and generators as the control variables, the mathematical model aiming at minimizing the construction cost of centralized charging stations can be solved by Simulated Annealing Particle Swarm Optimization (SAPSO). Next, in the second stage planning, in order to maximize the peaking effect of the centralized charging station, the cost function aiming at minimizing load variance is proposed, and the discharge power of each time can be obtained by using yalmip toolbox. Finally, simulation results are provided to verify the effectiveness and usefulness of the proposed optimization model.

Keywords: Two-stage optimization model, centralized charging station, ordered discharge strategy, SAPSO algorithm

DOI: 10.3233/JIFS-179321

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4837-4846, 2019