Optimal Dispatching of Wind-Solar-Storage Integrated Energy System Based on Model Predictive Control

Jiaxin LI; Zhiwei WANG

doi:10.16513/j.2096-2185.DE.2409106

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Distributed Energy ›› 2024, Vol. 9 ›› Issue (1) : 43-53. DOI: 10.16513/j.2096-2185.DE.2409106

Basic Research

Optimal Dispatching of Wind-Solar-Storage Integrated Energy System Based on Model Predictive Control

Jiaxin LI ,
Zhiwei WANG

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Abstract

Due to the uncertainties in both the landscape and user demand, traditional optimal scheduling responses can result in imbalances between supply and demand within a single day. In order to address this issue, a comprehensive wind and solar storage energy system is constructed, incorporating fans, photovoltaic panels, batteries, as well as light and heat technologies to fully utilize renewable energy sources. Building upon day-ahead scheduling, a mathematical model for day-rolling optimization is established using the model predictive control algorithm combined with the state space equation of the energy system. A typical daily example simulation is conducted on the Matlab platform. By analyzing the power output and energy supply of each device within the system, simulation results demonstrate that in three typical days there is a reduction of 12.3%, 7.4%, and 11.3% respectively in daily operating costs for the system while also reducing power supply and thermal imbalances rate which enhances both economic efficiency and reliability of this energy supply system.

Key words

integrated energy systems / optimized scheduling / model predictive control / intraday rolling optimization / economy

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Jiaxin LI , Zhiwei WANG. Optimal Dispatching of Wind-Solar-Storage Integrated Energy System Based on Model Predictive Control[J]. Distributed Energy Resources. 2024, 9(1): 43-53 https://doi.org/10.16513/j.2096-2185.DE.2409106

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