A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method
A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method
复制标题
一种新的综合能源系统可靠性评估方法：采用分层解耦优化框架和基于影响增量的状态枚举方法
DOI：
10.1016/j.apenergy.2017.08.099
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发表时间：
2018-01
期刊：
影响因子：
11.2
通讯作者：
Bingyan Sui
中科院分区：
文献类型：
--
作者：
Yunkai Lei;Kai Hou;Yue Wang;Hongjie Jia;Pei Zhang;Yunfei Mu;Xiaolong Jin;Bingyan Sui
介绍了一种新的综合能源系统可靠性评估方法。该方法对最优负荷削减（OLC）算法和可靠性评估算法进行了改进。对于OLC问题，本文提出了一种分层解耦优化框架，用于解决能源枢纽优化调度和最优潮流问题。这种可行的解决方案可以使OLC的计算更加高效和准确。在可靠性评估算法方面，提出了基于影响增量的状态枚举法（IISE），以加速可靠性评估过程。此外，高阶意外事件的减少技术，提出了IES的可靠性评估，以进一步提高计算效率。通过IEEE-33节点系统与14节点天然气系统的IESs测试案例和IEEE-118节点电力系统与比利时天然气网络的IESs实际案例进行了算例分析。数值结果表明了该方法的有效性和鲁棒性。此外，还详细分析了能量转换过程和能量枢纽对IES可靠性的影响。
A new reliability assessment approach to Integrated Energy Systems (IESs) is introduced in this paper. The optimal load curtailment (OLC) algorithm and reliability assessment algorithm are both improved in the proposed approach. For the OLC problem, this paper develops a hierarchical decoupling optimization framework for both the energy hub optimal dispatch and the optimal power flow problems. This feasible solution can make the OLC calculation more efficient and accurate. For the reliability assessment algorithm, an impact-increment based state enumeration (IISE) method is accommodated for IESs to accelerate the reliability assessment process. Also, a reduction technique of higher order contingencies is presented for the reliability evaluation of IESs to further enhance the computational efficiency. Case studies are performed on an IESs test case combined the IEEE-33 bus system with 14-node gas system and a practical case combined the IEEE 118-bus power system with Belgian natural gas network Numerical results demonstrate the efficient and robust performance of the proposed approach. Besides, the impacts of energy conversion process and energy hubs on IESs reliability are analyzed in detail.
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