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考虑交流潮流约束的机组组合并行解法

, PP. 120-126

Keywords: 机组组合,最优潮流,变量复制,附加问题原理,预测校正内点法,并行计算

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Abstract:

针对传统机组组合模型的种种不足,该文提出了一种考虑交流潮流约束及静态安全约束的机组组合模型,并给出了一种完整的并行化解法。该法借助于扩展拉格朗日松弛法和变量复制技术,将原问题转换为其对偶问题,并利用附加问题原理将对偶问题分解为动态规划和最优潮流(OPF)子问题。对于OPF子问题,采用鲁棒性好、收敛速度快的预测校正内点法求解,同时在求解过程中,采用并行处理技术。IEEE118节点及IEEE300节点仿真结果表明,该方法收敛性好,非常适合并行处理。

References

[1]  陈皓勇, 王锡凡. 机组组合问题的优化方法综述[J].电力系统自动化, 1999, 23(5): 51-56.
[2]  黎静华, 韦化. 基于内点法的机组组合模型[J]. 电网技术, 2007, 31(24): 28-34.
[3]  Guan X, Luh P B, Yan H, et al. An optimization-based method for unit commitment[J]. Electrical Power & Energy Systems, 1992, 14(1): 9-17.
[4]  陈皓勇, 张靠社, 王锡凡. 电力系统机组组合问题的系统进化算法[J]. 中国电机工程学报, 1999, 19 (12): 10-13.
[5]  Kennedy J, Eberhart R. Particle swarm optimization[C]. Proceedings of IEEE International Conference on Neural Networks, 1995, 4: 1942-1948.
[6]  刘涌, 侯志俭, 蒋传文. 求解机组组合问题的改进离散粒子群算法[J]. 电力系统自动化, 2006, 30(4): 35-39.
[7]  Baldick R. The generalized unit commitment problem[J]. IEEE Transactions on Power Systems, 1995, 10(1): 465-475.
[8]  Carlos Edmundo Murillo Sánchez. On the integration of unit commitment and optimal power flow[D]. Ithca: Cornell University, 2000.
[9]  Quyang Z, Shahidehpour S M. A hybrid artificial neural network-dynamic programming approach to unit commitment[J]. IEEE Trans. on Power Systems, 1992, 7(10): 339-350.
[10]  Li C, Johnson R B, Svoboda A J. A new unit commitment method[J]. IEEE Transactions on Power Systems, 1997, 12(1): 113-119.
[11]  Zhuang F, Galiana F D. Unit commitment by simulated annealing[J]. IEEE Transactions on Power Systems, 1990, 5(1): 311-317.
[12]  Cohen G, Zhu D L. Decomposition-coordination methods in large scale optimization problems: the nondifferentiable case and the use of augmented lagrangians[J]. Advance in Large Scale Systems, 1983, 1(1): 203-266.
[13]  Wu Y C, Debs A S, Marsten R E. A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows[J]. IEEE Trans- actions on Power Systems, 1994, 9(2): 876-883.
[14]  Batut J, Renaud A. Daily generation scheduling optimization with transmission constraints: a new class of algorithms[J]. IEEE Transactions on Power Systems, 1992, 7(3): 982-989.
[15]  Zhang X P, Petoussis S G, Godfrey K R. Nonlinear interior-point optimal power flow method based on a current mismatch formulation[J]. Proc. Inst. Elect. Eng., Gen., Transm., Distrib, 2005, 152(6): 795-805.
[16]  Cohen G. Auxiliary problem principle and decomposition of optimization problems[J]. Journal of Optimization Theory and Applications, 1980, 32(3): 277-305.
[17]  商小乐, 李建华, 刘锐, 等. 基于辅助问题原理及内点法的分区并行最优潮流算法[J]. 西安交通大学学报, 2006, 40(4): 468-472.

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