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4. Improve China’s Strength in Energy: International Experience and Chinese Path

Author

Zhao Wenzhi and Ding Lin

Subjects
energy powerhouse, international experience, Chinese path, energy transition, energy market, energy science and technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Energy is the foundation of a strong country and an engine to promote high-quality and sustainable economic development. This study summarizes the experiences of major energy powerhouses worldwide regarding energy development, believing that they have achieved excellent performance in multiple dimensions such as the stable and diversified energy supply, low-carbon and efficient energy consumption, leading innovation in energy technologies, orderly and open energy market, and completeness in energy governance systems. Moreover, this study reviews the advantages and disadvantages of energy development in China and proposes a Chinese path to becoming an energy powerhouse, involving staged objectives, key tasks, and measures. The basic conclusion is that we need to increase the clean utilization of coal resources to exploit the role of coal in ensuring energy security. Meanwhile, it is crucial to improve China’s ability of oil and gas self-sufficiency by strengthening the exploration and development of oil and gas resources and promoting the lacustrine shale oil revolution. It is also important to scale up the renewable energy sources and optimize the layout of clean energy sources such as hydrogen, thereby improving energy security and implementing the carbon reduction goals through multi-energy coordination

Published
2024
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25. Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging

Author

Liu, Haizhou, Shen, Xinwei, Guo, Qinglai, Sun, Hongbin, Zhao, Wenzhi, and Zhao, Xinyi

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

The increasing number of gas-fired units has significantly intensified the coupling between power and gas networks. Traditionally, the nonlinearity and nonconvexity in gas flow equations, together with renewable-induced stochasticity, result in a computationally expensive model for unit commitment in electricity-gas coupled integrated energy systems (IES). To accelerate stochastic day-ahead scheduling, we applied and modified Progressive Hedging (PH), a heuristic approach that can be computed in parallel to yield scenario-independent unit commitment. By applying a termination and enumeration technique, the modified PH algorithm saves considerable computational time, especially when the unit production prices are similar for all generators, and when the scale of IES is large. Moreover, an adapted second-order cone relaxation (SOCR) is utilized to tackle the nonconvex gas flow equation. Case studies are performed on the IEEE 24-bus system/Belgium 20-node gas system and the IEEE 118-bus system/Belgium 20-node gas system. The computational efficiency when employing PH is 188 times that of commercial software, even outperforming Benders Decomposition. Meanwhile, the gap between the PH algorithm and the benchmark is less than 0.01% in both IES systems, which proves that the solution produced by PH reaches acceptable optimality in this stochastic UC problem.

Published
2020

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