直流互联下含储电力系统调峰的优化及仿真分析

只有实现储能与电力系统关键过程的深度融合,才能进一步发挥储能的作用和价值,激发新的商业应用。传统电力系统主要依靠常规发电容量及交流输电实现调峰,然而,对调峰过程参与度越高,发、输电投资容量的利用率、系统运行效率反而会降低。有必要在投建有排放的发电厂、日益昂贵的输电走廊和成本快速下降的储能之间选择其调峰容量的最佳组合。构建反映多种容量参与、输和储调峰能力协调的调度仿真环境能够为规划乃至运行分析提供关键决策支持。文中在考虑制约上述调控过程的各类非线性及时变因素基础上,提出了基于最优价值网络的跨区直流输电调峰优化方法,以及输、储协调调控优化框架。最后,仿真比较了典型送—受端网络中不同输、储容量配比的调峰效果差异及其对发电侧的影响。

Optimization and Simulation Analysis of Peak Shaving for DC Interconnected Power System with Energy Storage

In order to increase the value and industry use of energy storage, the deep integration of energy storage into key processes of power system is necessary. The peak shaving process of a traditional power system mainly depends on power regulation of generation units and AC transmission lines. However, the more they contribute to peak shaving, the lower utilization and efficiency they obtain. Planners require more guides to find a better combination of peak shaving capacity among thermal generation plants, transmission lines and storage units. As a key tool to meet this demand, a simulation environment is built to mimic the dispatching process joined by variant types of generation units and the peak shaving process with optimized decisions for storage units and DC transmission lines. Considering relevant nonlinear and time-variant factors, this paper proposes a novel method based on optimal valne network for peak shaving optimization through DC transmission lines. In addition, a new optimization framework is also proposed to coordinate DC transmission and storage control. By these methods, a typical two-node system is simulated and the differences of peak shaving outcome under different proportions of transmission and storage are discussed and the influences to the generation side are analyzed.