Research on Optimal Decision-making of Flexible Load Based on Future Risk Section

X. Lou, Ke Yang, Feifei Sun, Jiahua Liu, Min Lu, Zhiquan Meng, Lizhong Xu
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Abstract

With the development of new energy scale and the change of power grid characteristics, the dispatch space of traditional regulation resources is getting smaller and smaller, and it is urgent to effectively expand the power grid regulation resources and promote the transformation of the traditional model of “ source following load” to the collaborative mode of “source-load interaction”. In this paper, in view of the problem of section limitation, future risk identification and load optimization decision-making techniques are proposed. Based on the adjustment of original unit and transfer mode, a hierarchical grading aggregation method for schedulable load is proposed, and a linear optimization algorithm for minimizing removing load is designed according to the sensitivity of the load side to the section, and expand the resource adjustment under local section constraint. Zhejiang Power Grid has carried out marketing side and millions-seconds-level resource aggregation, and verified this method for frequently restricted sections, reducing the time for cross-sections to exceed the limit.
基于未来风险截面的柔性负荷优化决策研究
随着新能源规模的发展和电网特性的变化,传统调控资源的调度空间越来越小,亟需有效拓展电网调控资源,推动“源随负荷”的传统模式向“源负荷互动”的协同模式转变。本文针对路段限制问题,提出了未来风险识别和负荷优化决策技术。在调整原机组和转移方式的基础上,提出了一种可调度负荷的分级分级聚合方法,并根据负荷侧对断面的敏感性设计了一种可调度负荷最小的线性优化算法,扩展了局部断面约束下的资源调整。浙江电网进行了营销端和百万秒级的资源聚合,并对频繁受限路段进行了验证,减少了断面超限时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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