A Multi-Time-Scale Coordinated Scheduling Model for Multi-Energy Complementary Power Generation System Integrated with High Proportion of New Energy Including Electricity-to-Hydrogen System

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Authors: Fuxia Wu, Yu Cui, Hongjie He, Qiantao Huo, Jinming Yao
Cited by: 3
References: 23

Abstract

It has become an urgent problem to deal with the uncertain influence caused by the high proportion of new energy connected to the grid and improve the consumption level of new energy in the background of the new power system. Based on the constantly updated predicted information of wind power, photovoltaic power, and load power, a multi-time-scale coordinated scheduling model for a multi-energy complementary power generation system integrated with a high proportion of new energy, including an electricity-to-hydrogen system, is proposed. The complex nonlinear factors in the operation cost of thermal power and pumped storage power generation were converted into a mixed integer linear model for solving the problem. The results show that the participation of the pumped storage units in the power grid dispatching can effectively alleviate the peak regulation and reserve pressure of the thermal power units. The electricity-to-hydrogen system has the advantages of fast power response and a wide adjustment range. Pumped storage plant, together with the electricity-to-hydrogen system, enhances the flexible adjustment ability of the power grid on the power side and the load side, respectively. The coordinated dispatch of the two can take into account the safety and economy of the power grid operation, maintain the power balance of the high-proportion new energy power generation system, and effectively reduce green power abandonment and improve the consumption level of clean energy.

Fields of Study & Subjects

Integrated Energy Systems Optimization Hybrid Renewable Energy Systems Microgrid Control and Optimization

Publication details

Journal / source
Electronics
Publisher
MDPI AG
Volume
15
Issue
2
Pages
294–294
Publication date
9 January 2026
Language
EN