计算机工程与应用 ›› 2021, Vol. 57 ›› Issue (10): 259-265.DOI: 10.3778/j.issn.1002-8331.2002-0242

• 工程与应用 • 上一篇    下一篇

考虑源荷互动的主动配电网两层优化调度

文达,崔双喜,樊小朝,降国俊   

  1. 新疆大学 电气工程学院,乌鲁木齐 830047
  • 出版日期:2021-05-15 发布日期:2021-05-10

Two-Level Optimal Dispatching of Active Distribution Network Considering Source-Load Interaction

WEN Da, CUI Shuangxi, FAN Xiaochao, JIANG Guojun   

  1. School of Electrical Engineering, Xinjiang University, Urumqi 830047, China
  • Online:2021-05-15 Published:2021-05-10

摘要:

针对主动配电网中清洁能源消纳率低、负荷侧资源调度不足的问题,提出了一种包含负荷层和主动配网层的两层优化调度模型。负荷层首先根据负荷参与调度的形式不同分类建模,然后通过源荷协调互动调整柔性负荷用电时序及清洁能源的出力;主动配网层则依据分时电价优化系统的综合运行成本,提出禁忌-细胞膜优化算法对模型求解。通过算例对比分析了分层、分类负荷前后三种方案下优化调度的结果,证明了提出的优化调度模型在配网系统经济运行的前提下,可以有效提高清洁能源的消纳率,进一步降低负荷峰谷差,同时验证了算法的有效性。

关键词: 主动配电网, 两层优化, 分类负荷, 源荷协调互动, 禁忌-细胞膜优化算法

Abstract:

Aiming at the problems of low clean energy consumption rate and insufficient resource scheduling on load side in active distribution network, a two-layer optimal scheduling model including load layer and active distribution network layer is proposed. Firstly, the load layer models according to the different forms of load participating in scheduling, and then adjusts the power consumption sequence of flexible load and the output of clean energy through the coordination and interaction of source and load. The active distribution network layer optimizes the comprehensive operation cost of the system according to the time-sharing price. Tabu search-cell membrane optimization algorithm is proposed to solve the model. The results of optimal scheduling under three schemes are compared and analyzed by examples, it is proved that the proposed optimal scheduling model can effectively improve the clean energy consumption rate and further reduce the peak valley load difference under the premise of economic operation of the distribution network system. At the same time, the validity of the algorithm is verified.

Key words: active distribution network, two-level optimization, classified load, source load coordination interaction, tabu search-cell membrane optimization algorithm