A multi-region load dispatch model for the long-term optimum planning of China's electricity sector. (1st January 2017)

• Record Type: Journal Article
• Authors: Guo, Zheng; Cheng, Rui; Xu, Zhaofeng; Liu, Pei; Wang, Zhe; Li, Zheng; Jones, Ian; Sun, Yong
• Is Part Of: Applied energy. Volume 185:Part 1(2017)
• Page Start: 556
• Page End: 572
• Publication Date: 2017-01-01
• Subjects: Electricity generation -- Power sector planning -- Carbon capture and storage -- Regional distribution -- Load dispatch -- Peak electricity demand regulation -- Flexibility -- Cap-and-trade; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2016.10.132
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A multi-region load dispatch model was built with spatial and temporal features. A case performed study under a cap-and-trade carbon scheme gave the optimal developing plan. Results indicated the necessity of including temporal considerations in power system modelling. Peak regulation of thermal plants is important in the dispatch and will affect their deployment. Development of renewable energy will largely rely on the accommodation of thermal plants. Abstract: Future development of China's electricity system will not only need to consider generation capacity needed to meet demand but also economic and flexible technologies to meet peak demand and integrate increasing volumes of intermittent renewable generation. This paper describes research in which a multi-region dispatch model was established and analysis performed to gain insights into optimal choices for the development of China's electricity sector. The model reflected China's regional electricity demand profiles, its natural resource distribution, its inter-regional electricity transmission network, performance characteristics of different electricity generating technologies, and temporal electricity demand variations. The case study included a cap-and-trade carbon mitigation scheme to enable direct comparison with previous studies that lacked the temporal element considerations. The results highlighted the importance of considering even short-term temporal variations when planning the long-term development of electricity systems. They also demonstrated how Natural Gas Combined Cycle turbines (NGCC) are well suited to providing peak-demand regulation capability. Whilst, the analysis indicates that coal-fired plants are set to continue to play a significant role through out to 2050. The modelling also confirms the deployment of renewable energy in the long-term future and as a result the requirement of flexible generation to maintain stability and integrity.