考虑新能源不确定性的多区域分解-协调稳健优化模型

Chunxiao Liu, Quan Yuan, Wei Wang, Yinsheng Su, Xiangyang Su, Ziqiang Wang
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引用次数: 0

摘要

随着电力系统的不断发展,大规模、大区域的多区域资源优化配置具有可观的前景。本文提出了区域最优调度模型的框架。基于新能源的不确定性,提出了一种两阶段鲁棒优化模型。采用对偶理论和列约束生成算法求解两阶段鲁棒优化模型。提出了一种基于交替方向乘法器(ADMM)框架的多区域分解协调机制,并给出了一个工程化的ADMM算法框架。仿真分析证明了该模型的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-region Decomposition-Coordination Robust Optimization Model Considering New Energy Uncertainty
With the continuous development of the power system, the multi regional resource optimization resource allocation in large scale and large regions has considerable prospects. In this paper, a framework of regional optimal dispatching model is proposed. Based on the uncertainty of new energy, a two-stage robust optimization model is proposed. The dual theory and column and constraint generation algorithm are used to solve the two-stage robust optimization model. A multi region decomposition and coordination mechanism based on alternating direction method of multipliers (ADMM) framework is proposed, and an engineering ADMM algorithm framework is given. The simulation analysis proves the feasibility of the proposed model.
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