Game Iterative Robust Optimization Strategy for AC / DC Distribution Systems Considering Source Load Uncertainty

Qi Li, Ronghao Zhang, Shuting Li, Haibo Zhao, Liang Tian, Ende Hu, Yu Li, Zhi Zhang, Hui Duan
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引用次数: 0

Abstract

With the wide access of distributed generation and diversified loads in AC / DC distribution system and the uncertainty fluctuation of source load, it will bring great challenges to the planning, control and operation of AC / DC distribution network. Based on this, this paper proposes a game iterative robust optimization strategy for AC / DC distribution system considering the source load uncertainty. The game between power grid dispatcher and nature realizes the robust optimization under the condition of distributed generation random output, minimizes the standard deviation of network loss and the number of possible safety limit excesses of the system, avoids the extreme adverse effects caused by the uncertainty of distributed generation, and ensures the operation safety of the system. It provides a reference for the optimal operation scheduling of AC / DC distribution system.
考虑源负荷不确定性的交直流配电系统博弈迭代鲁棒优化策略
随着分布式发电在交直流配电系统中的广泛接入和负荷的多样化,以及源负荷的不确定性波动,将给交直流配电网的规划、控制和运行带来巨大挑战。在此基础上,提出了一种考虑源负荷不确定性的交直流配电系统博弈迭代鲁棒优化策略。电网调度员与自然的博弈实现了分布式发电随机输出条件下的鲁棒优化,使网损标准差和系统可能出现的安全极限超标次数最小化,避免了分布式发电不确定性带来的极端不利影响,保证了系统的运行安全。为交直流配电系统的优化调度提供参考。
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