基于分解协调的风光储联合规划分层优化方法

风光储联合规划可以充分考虑新能源资源特性，所得规划结果在全局角度更科学。本文计及中长期时序电力平衡进行风光储联合规划，规划结果更为合理可靠。多区域风光储联合规划问题本质上是一个广域多电源、多变量、多时间断面的高维复杂随机规划问题，求解非常耗时，甚至由于维数灾难无法求解。基于此，本文建立多区域风光储联合规划模型，并提出基于区域分解协调的分层优化算法，将多区域风光储联合规划模型分解为两层问题，其中下层问题确定各子区域内电源和储能的配置容量；上层问题根据下层问题给定的容量规划方案，确定各子区域电源运行情况。两层问题相互迭代，协调得到各区域风光储最优容量。最后，算例分析验证了所提模型和方法的合理性及有效性。

Joint planning and hierarchical optimization method of wind photovoltaic storage based on decomposition coordination

The joint planning of wind photovoltaic(PV) storage can fully consider the characteristics of renewable energy re-sources, and the planning results are more scientific in a global perspective. In this paper, the medium- and long-term time-series power balance is considered for joint planning of wind PV storage, and the planning results are more rea-sonable and reliable. The multi-region wind PV storage joint planning problem is essentially a high-dimensional com-plex stochastic planning problem with wide area multiple power sources, multiple variables and multiple time sections, which is very time-consuming to solve and even impossible to solve due to dimensional disasters. Based on this, a mul-ti-region wind PV storage joint planning model is established, and a hierarchical optimization algorithm is proposed based on regional decomposition coordination in this paper, which decomposes the multi-region wind PV storage joint planning model into a two-layer problem. The configuration capacity of power sources and energy storage in each sub-region is determined in the lower-layer problem; the power sources in each sub-region are determined in the up-per-layer problem according to the capacity planning scheme given by the lower-level problem operation. The two lay-ers iterate with each other to coordinate and obtain the optimal capacity of wind PV storage in each region. Finally, the rationality and effectiveness of the proposed model and method are verified by the arithmetic case analysis.