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Short-term transmission line maintenance scheduling with wind energy integration

机译:集成风能的短期输电线路维护计划

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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.
机译:传输线维护计划(TLMS)在增强组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,而且还应考虑运营约束,尤其是在大规模风力发电的集成度不断提高的情况下。本文提出了一种考虑发电量的随机安全约束模型来建立短期TLMS。由拉丁文超立方采样(LHS)技术生成的可能情景进行了模拟,以表示风电的波动性。对于在维护时段内要维护的每条生产线,基尔霍夫定律通过使用big-M公式强制执行。还考虑了单位承诺来协调TLMS以实现最佳维护策略。整个问题被建模为混合整数线性规划问题,由CPLEX求解器解决。在六总线系统和改进的IEEE 118总线系统上的数值测试证明了所提出模型和算法的有效性。

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