Short-term transmission line maintenance scheduling with wind energy integration
Short-term transmission line maintenance scheduling with wind energy integration
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DOI：
10.1109/pesgm.2017.8274097
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Chong Wang;Zhaoyu Wang
中科院分区：
文献类型：
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作者：
Chong Wang;Zhaoyu Wang
输电线路检修计划(TLMS)在提高元件可靠性方面起着重要作用。在进行短期TLMS时，系统运营商不仅应考虑运营成本，还应考虑运营限制，特别是在大规模风力发电日益一体化的情况下。本文提出了一种考虑风电的随机安全约束模型来建立短期TLMS。对拉丁超立方体抽样(LHS)技术产生的可能情景进行了模拟，以表示风电的波动性。对于在维护窗口期间要维护的每条线路，使用BIG-M公式来执行基尔霍夫定律。机组组合也被认为是为了协调TLMS以实现最佳维护策略。整个问题被建模为一个混合整数线性规划问题，该问题由CPLEX求解器求解。对一个6节点系统和一个改进的IEEE118节点系统的算例验证了所提模型和算法的有效性。
Transmission line maintenance scheduling (TLMS) plays an important role in enhancement of component reliability. When conducting short-term TLMS, system operators should consider not only operating costs but also operating constraints, particularly with increasing integration of large-scale wind generation. This paper proposes a stochastic security-constrained model to establish short-term TLMS in consideration of wind generation. Possible scenarios, generated by the Latin hypercube sampling (LHS) technique, are simulated to represent wind power volatility. For each line to be maintained during the maintenance windows, Kirchoff's law is enforced by using a big-M formulation. Unit commitment is also considered to coordinate TLMS to achieve the best maintenance strategies. The whole problem is modeled as a mixed integer linear programming problem, which is solved by the CPLEX solver. Numerical tests on a six-bus system and a modified IEEE 118-bus system show the effectiveness of the proposed model and the algorithm.