Dispatching optimization of active distribution system considering peak regulation demand and load elasticity

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Nov.2024, Vol.47 No.11: 1472-1480

DOI: 10.3969/j.issn.1003-5060.2024.11.006

Authors

CAO Yonglun $ ^{1} $, TANG Hao $ ^{1} $, LYU Kai $ ^{1} $, WANG Zhengfeng $ ^{2} $

(1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China; 2. State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

Abstract and Keywords

Abstract: In view of the increasing peak regulation pressure and elastic resources of power grid, the dispatching optimization problem of active distribution system responding to the dynamic peak regulation demand of power grid in elastic environment is studied. Firstly, according to the characteristics of transferable loads, the concept of elastic margin is proposed to quantify the impact of current adjustment on future dispatching decisions. Considering the influence of excitation on the adjustable range of reducible loads and energy storage device, the elastic models of them are established. Secondly, based on the output constraints of flexible load, energy storage device and photovoltaic equipment in the system, a Markov decision process model for the intraday dispatching optimization problem of active distribution system considering peak regulation demand and load elasticity is established. Finally, the effectiveness of the proposed model is verified by an example simulation. The results show that the dispatching strategy can further excavate the dispatching potential of power elastic resources and ensure the stable and economic operation of the system on the basis of meeting the peak regulation demand of power grid.

Keywords: peak regulation; load elasticity; active distribution system; learning optimization

作者信息

曹永伦 $ ^{1} $，唐昊 $ ^{1} $，吕凯 $ ^{1} $，王正风 $ ^{2} $

(1. 合肥工业大学电气与自动化工程学院, 安徽合肥 230009; 2. 国网安徽省电力有限公司, 安徽合肥 230061)

摘要和关键词

摘要: 针对电网调峰压力日益增大及弹性资源不断增加的情况,文章研究弹性环境下主动配电系统响应电网动态调峰需求的调度优化问题。首先根据可转移负荷特性,提出弹性裕度的概念以量化当前调整量对未来调度决策的影响,并考虑激励对可削减负荷和储能装置的可调范围的影响,建立两者的弹性模型;其次基于系统内部柔性负荷、储能装置和光伏设备的出力约束,针对调峰需求及负荷弹性的主动配电系统日内调度优化问题,建立马尔可夫决策过程模型;最后通过算例仿真验证所提模型的有效性。研究结果表明,所得调度策略可进一步挖掘电力弹性资源可调度潜力,在满足电网调峰需求的基础上保证系统平稳经济运行。

关键词: 调峰；负荷弹性；主动配电系统；学习优化

Funding

国家电网有限公司总部科技资助项目（SGTYHT/19-JS-215）

合肥工业大学学报(自然科学版)

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