Robust Power System Security Assessment Under Uncertainties Using Bi-Level Optimization
Robust Power System Security Assessment Under Uncertainties Using Bi-Level Optimization
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DOI：
10.1109/tpwrs.2017.2689808
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发表时间：
2018
影响因子：
6.6
通讯作者：
N. Yorino;M. Abdillah;Y. Sasaki;Y. Zoka
中科院分区：
文献类型：
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作者：
N. Yorino;M. Abdillah;Y. Sasaki;Y. Zoka
由于可再生能源（RE）发电量的快速增长，评估电力系统在有限的可控资源下运行的可行性变得更加重要。特别是，在错误的可再生能源输出预测下，需要准确评估系统储备以维护系统安全。提出一种在控制空间内评估电力系统运行可行域大小的方法，用于检验不确定性下的有效系统储备裕度。指定预测的 RE 和需求及其置信区间 (CI)，以制定评估最坏情况可行区域大小的问题，其中正大小表示可行性，而负大小表示不可行。该方法计算系统的安全程度，本文将其称为“鲁棒电力系统安全”。该问题被表述为双层优化，被线性化并转化为混合整数线性规划（MILP）问题。这是处理不确定性的新方法。我们使用直流潮流和线性约束动态经济调度问题来证明该方法的有效性。该方法可用于电力系统规划，分析未来情况下动态实时运行的可行性。
Due to rapid expansions of renewable energy (RE) generations, it becomes more important to assess the feasibility of power system operation under limited controllable resources. Especially, exact evaluation of the system reserve for preserving system security is required under erroneous RE output predictions. This paper proposes a method to evaluate the size of the feasible region of power system operation in control space for the examination of the effective system reserve margin under uncertainties. Predicted RE and demands with their confidence intervals (CIs) are specified to formulate a problem for the evaluation of the size of the worst-case feasible region, where positive size implies feasibility, while negative, infeasibility. The method computes the degree of system security, which is referred to as “Robust Power System Security” in this paper. The problem is formulated as bi-level optimization, which is linearized and transformed into the mixed integer linear programming (MILP) problem. This is a new approach in the treatment of uncertainties. We use DC power flow and linear constrained dynamic economic dispatch problem to demonstrate the effectiveness of the proposed method. The proposed approach is useful in power system planning in analyzing the feasibility of dynamic real-time operation in future circumstance.