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A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China

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  • Li, Xiaozhu
  • Wang, Weiqing
  • Wang, Haiyun

Abstract

To improve the economics and scheduling flexibility of regionally integrated energy system (RIES) with large-scale centralized renewable energy, a bi-level robust game model is proposed. The model relies on the CCHP units and virtual energy-plant, uses their complementary of various energy to stabilize the uncertainty of power generation and consumption. The revenue and loss risk for coupling multiple uncertain is considered, and the uncertain set is constructed by robust theory, which can be flexibly adjusted its boundaries. Aim at the above-mentioned complex model, such as multi-objective, nonconvex, strong constraint, large-scale decision variables, and irregular Pareto front shape, a multi-objective whale optimization algorithm is proposed. Finally, a modified IEEE-33 bus distribution system and the Hami power grid (in Western China) are used for cases. The sensitivity for scheduling results is quantitatively analyzed, under the influence of power generation and consumption uncertainty. The results show that the strategy can balance the economy and robustness, improve the profit benefit of RIES by 15.67% with the traditional robustness, virtual energy-plant can increase the profit by 1.9%. This paper provides theoretical guidance for the optimal scheduling of RIES with large-scale renewable energy.

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  • Li, Xiaozhu & Wang, Weiqing & Wang, Haiyun, 2021. "A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221007623
    DOI: 10.1016/j.energy.2021.120513
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    2. Jianwei Gao & Yu Yang & Fangjie Gao & Haoyu Wu, 2022. "Two-Stage Robust Economic Dispatch of Regional Integrated Energy System Considering Source-Load Uncertainty Based on Carbon Neutral Vision," Energies, MDPI, vol. 15(4), pages 1-16, February.
    3. Liu, Zhouding & Nazari-Heris, Morteza, 2023. "Optimal bidding strategy of multi-carrier systems in electricity markets using information gap decision theory," Energy, Elsevier, vol. 280(C).
    4. Nitesh Kumar Singh & Chaitali Koley & Sadhan Gope & Subhojit Dawn & Taha Selim Ustun, 2021. "An Economic Risk Analysis in Wind and Pumped Hydro Energy Storage Integrated Power System Using Meta-Heuristic Algorithm," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    5. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Zhao, Yi, 2022. "Research on a cross-regional robust trading strategy based on multiple market mechanisms," Energy, Elsevier, vol. 261(PB).
    6. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    7. Yanbin Li & Yanting Sun & Junjie Zhang & Feng Zhang, 2022. "Optimal Microgrid System Operating Strategy Considering Variable Wind Power Outputs and the Cooperative Game among Subsystem Operators," Energies, MDPI, vol. 15(18), pages 1-20, September.
    8. Md Masud Rana & Mohamed Atef & Md Rasel Sarkar & Moslem Uddin & GM Shafiullah, 2022. "A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend," Energies, MDPI, vol. 15(6), pages 1-17, March.
    9. Wang, Jian & Xin, Hao & Xie, Ning & Wang, Yong, 2022. "Equilibrium models of coordinated electricity and natural gas markets with different coupling information exchanging channels," Energy, Elsevier, vol. 239(PA).
    10. Hailin Mu & Zhewen Pei & Hongye Wang & Nan Li & Ye Duan, 2022. "Optimal Strategy for Low-Carbon Development of Power Industry in Northeast China Considering the ‘Dual Carbon’ Goal," Energies, MDPI, vol. 15(17), pages 1-22, September.
    11. Nasiri, Nima & Zeynali, Saeed & Ravadanegh, Sajad Najafi & Marzband, Mousa, 2021. "A hybrid robust-stochastic approach for strategic scheduling of a multi-energy system as a price-maker player in day-ahead wholesale market," Energy, Elsevier, vol. 235(C).
    12. Lu, Qing & Guo, Qisheng & Zeng, Wei, 2022. "Optimization scheduling of integrated energy service system in community: A bi-layer optimization model considering multi-energy demand response and user satisfaction," Energy, Elsevier, vol. 252(C).

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