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Multi-stage Robust Optimization of a Multi-energy Coupled System Considering Multiple Uncertainties
Energy ( IF 9.0 ) Pub Date : 2021-09-13 , DOI: 10.1016/j.energy.2021.122041
Yachao Zhang 1 , Shiwei Xie 1 , Shengwen Shu 1
Affiliation  

As an effective means to improve the efficient use of energy, multi-energy coupled systems have indicated the important direction for the development of Energy Internet in the foreseeable future. However, the uncertainties that exist in various energy networks present severe challenges to the implementation of this innovative system. In this regard, this paper proposed a multi-stage robust optimization model for the coordinated operation of an electricity-gas-transportation coupled system, which simultaneously considered the uncertainties of traffic demands, wind power, and gas fuel consumption by gas-fired units. To conform to the non-anticipative sequential decision-making process for power system scheduling, the multi-stage robust unit commitment (UC) problem was established and considered as the master problem, which was solved by introducing a linear affine rule and the robust counterpart method. The gas network operation feasibility checks in each period were then addressed as the subproblems, and the generalized benders decomposition-based decoupling-coordination strategy was developed to solve the above master-subproblems iteratively. Simulation results demonstrate that the proposed multi-stage robust UC model can achieve a scheduling solution with superior economic performance and reduced conservativeness compared to the two-stage robust UC model. Furthermore, the effectiveness of the decoupling-coordination solving strategy was verified for the multi-energy coupled system.



中文翻译:

考虑多重不确定性的多能耦合系统多级鲁棒优化

多能源耦合系统作为提高能源利用效率的有效手段,已为可预见的未来能源互联网发展指明了重要方向。然而,各种能源网络中存在的不确定性对这一创新系统的实施提出了严峻的挑战。对此,本文提出了一种电-气-运耦合系统协调运行的多阶段鲁棒优化模型,该模型同时考虑了燃气机组的交通需求、风电和燃气燃料消耗的不确定性。为符合电力系统调度的非预期序贯决策过程,建立多级鲁棒机组承诺(UC)问题并将其视为主问题,这是通过引入线性仿射规则和鲁棒对应方法解决的。然后将各时段的燃气管网运行可行性检查作为子问题处理,并开发基于广义弯曲器分解的解耦协调策略迭代解决上述主子问题。仿真结果表明,与两阶段鲁棒UC模型相比,所提出的多阶段鲁棒UC模型可以实现具有优越经济性能和降低保守性的调度解决方案。进一步验证了解耦协调求解策略对多能耦合系统的有效性。并开发了基于广义bender分解的解耦协调策略来迭代解决上述主子问题。仿真结果表明,与两阶段鲁棒UC模型相比,所提出的多阶段鲁棒UC模型可以实现具有优越经济性能和降低保守性的调度解决方案。进一步验证了解耦协调求解策略对多能耦合系统的有效性。并开发了基于广义bender分解的解耦协调策略来迭代解决上述主子问题。仿真结果表明,与两阶段鲁棒UC模型相比,所提出的多阶段鲁棒UC模型可以实现具有优越经济性能和降低保守性的调度解决方案。进一步验证了解耦协调求解策略对多能耦合系统的有效性。

更新日期:2021-09-13
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