Author
Listed:
- Zhongzheng Li
(Economic and Technological Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China)
- Gaohang Zhang
(School of Electric Power Engineering, Xinjiang University, Urumqi 830017, China)
- Mengke Liao
(Economic and Technological Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China)
- Erbiao Zhou
(Economic and Technological Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China)
Abstract
With the increasing penetration of renewable energy in power systems, it is vital to adopt methods to enhance the acceptance capacity of renewable energy. Energy-intensive loads have excellent potential for regulating the utilization of renewable energy. Existing studies have often overlooked the regulatory potential of energy-intensive industrial loads. The coordinated optimization of source, load, and storage can improve the matching degree between power supply and load demand and achieve on-site consumption of renewable energy. This paper proposes a coordinated optimization method for source–load–storage integrated systems, utilizing for regulation energy-intensive industrial loads such as electrolytic aluminum load and polysilicon load. The operational characteristics and regulatory ability of electrolytic aluminum load and polysilicon load were analyzed in the production process. Operation models of energy-intensive loads are proposed. A coordinated operation model of a source–load–storage integrated system is established. The operation schemes of thermal units, energy storage, and energy-intensive loads are jointly optimized to guarantee power supply capacity and renewable energy consumption. In addition, power purchase from the bulk power system and the time-of-use electricity price are considered to ensure a reliable power supply for energy-intensive loads. The case results showed that on the premise of ensuring that the production meets the requirements, the flexibility and economy of system operation were effectively improved. Reasonably rated power and capacity for the energy storage system can improve the regulation ability and reduce the operating costs of regional systems.
Suggested Citation
Zhongzheng Li & Gaohang Zhang & Mengke Liao & Erbiao Zhou, 2025.
"Coordinative Scheduling Method for Source–Load–Storage Integrated Systems Considering the Utilization of Energy-Intensive Industry Loads for Regulation,"
Sustainability, MDPI, vol. 17(16), pages 1-21, August.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:16:p:7321-:d:1723616
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