Title: Evaluation method of renewable energy absorptive capacity based on Monte Carlo

Authors: Jinding He; Wenchao Qin

Addresses: Yunnan Electric Power Dispatching Control Centre, Kunming, Yunnan, China ' Yunnan Electric Power Dispatching Control Centre, Kunming, Yunnan, China

Abstract: Because the traditional assessment method of renewable energy absorptive capacity has the problems of low assessment accuracy and long assessment time, a Monte Carlo-based assessment method of renewable energy absorptive capacity is proposed. First, build a renewable energy absorptive capacity evaluation system, obtain the evaluation indicators, then analyse the renewable energy wind output characteristics, extract the characteristics of renewable energy absorptive capacity and then set the maximum renewable energy absorptive capacity, the system power balance, the minimum conventional power technology output, and the minimum production cost as the optimisation objectives to establish a multi-objective function for evaluation. Finally, under the constraint conditions, the objective function is solved by Monte Carlo method, and the solution is the evaluation result. The simulation results show that the proposed method has higher accuracy and shorter evaluation time for renewable energy absorptive capacity evaluation.

Keywords: Monte Carlo; renewable energy; absorptive capacity; wind output; multi-objective function.

DOI: 10.1504/IJGEI.2024.141923

International Journal of Global Energy Issues, 2024 Vol.46 No.6, pp.603 - 617

Received: 23 Nov 2022
Accepted: 25 Jan 2023
Published online: 03 Oct 2024 *

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