Game Analysis of Multi-energy Market considering Integrated Energy Suppliers with Wind Power

Wu, Bingnan; Wang, Xian; Zhang, Shaohua

doi:10.1109/cieec54735.2022.9846204

Cited by 2 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The network in the integrated energy system mainly includes a power network, a heat network, and a gas network. The energy conversion process mainly includes energy input, energy conversion, and energy storage [18][19][20]. The power-gas coupling system in the integrated energy system is relatively mature, and mainly uses the P2G technology to complete the conversion between electric energy and gas energy.…”

Section: Power Output Equipmentmentioning

confidence: 99%

“…It can be concluded that the proposed robust chance constraint optimization scheme is more economical. Compared with [18], the influence of the market environment has been further reflected. Deterministic optimization does not consider the fluctuation of wind power, the result is too idealistic, and, therefore, the calculation cost is the lowest.…”

Section: Comparative Analysis Of Different Schemesmentioning

confidence: 99%

See 1 more Smart Citation

Robust Optimal Scheduling of Integrated Energy Systems Considering the Uncertainty of Power Supply and Load in the Power Market

Zhao

Zeng

Wang³

et al. 2023

Energies

View full text Add to dashboard Cite

The integrated energy system is a complex energy system that involves multi-stakeholder and multi-energy coordinated operations. The key to improving its scale and sustainable development is to construct a better-integrated energy system dispatching method which is suitable for the power market. However, the randomness of the supply side and load side of the integrated energy system brings further challenges to system planning and scheduling. Therefore, the optimal scheduling method of an integrated energy system considering the uncertainty of supply and demand in the market environment is studied in this paper. Firstly, the uncertainty models of the supply side and load side of the integrated energy system are established. Then, the optimal scheduling model based on robust chance constraint is established. The reserve capacity constraint is set as a chance constraint with a certain confidence level to maximize the system profit in the power market. Finally, simulations show that the proposed method not only guarantees the robustness of the system but also improves the economy of the system. The method provides ideas for exploring the development mechanism and strategy of integrated energy systems in the electricity market environment.

show abstract

Section: Power Output Equipmentmentioning

confidence: 99%

Section: Comparative Analysis Of Different Schemesmentioning

confidence: 99%