An iterative approach to improving solution quality for AC optimal power flow problems

An iterative approach to improving solution quality for AC optimal power flow problems
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提高交流最优潮流问题解决方案质量的迭代方法

DOI:
10.1145/3538637.3538858
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发表时间:
2022
期刊:
Thirteenth ACM International Conference on Future Energy Systems
影响因子:
--
通讯作者:
Zhang, Baosen
Zhang, Baosen
中科院分区:
--
文献类型:
--
作者:
Zhang, Ling;Zhang, Baosen

文献摘要

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交流最优潮流(ACOPF)问题的多解性问题已经被人们关注了几十年。现有的求解器一般都能成功地找到满足一阶和二阶最优性条件的局部解,但可能不是全局最优的。在本文中,我们提出了一个简单的迭代方法来提高质量的解决方案ACOPF问题。首先,我们调用ACOPF问题的现有求解器。从解和相关的对偶变量,我们形成一个部分拉格朗日。然后,我们优化这个部分拉格朗日,并使用它的解决方案作为一个温暖的开始,再次调用求解器的ACOPF问题。通过重复这个过程,我们可以迭代地提高解决方案的质量,从局部解决方案转移到全局解决方案。我们证明了我们的算法对标准IEEE网络的有效性。仿真结果表明,该算法能在几次迭代中跳出局部解,达到全局最优。
The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, which satisfy first and second order optimality conditions, but may not be globally optimal. In this paper, we propose a simple iterative approach to improve the quality of solutions to ACOPF problems. First, we call an existing solver for the ACOPF problem. From the solution and the associated dual variables, we form a partial Lagrangian. Then we optimize this partial Lagrangian and use its solution as a warm start to call the solver again for the ACOPF problem. By repeating this process, we can iteratively improve the solution quality, moving from local solutions to global ones. We show the effectiveness of our algorithm on standard IEEE networks. The simulation results show that our algorithm can escape from local solutions to achieve global optimums within a few iterations.
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发表时间: 2021-01
影响因子: 6.6
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DOI: 10.3390/en12122425
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影响因子: 3.2
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