摘要
在全国统一电力市场的建设背景下,省间市场的融合程度日益加深。在组织省间现货交易时,考虑到各省信息安全及有限算力,需要对节点网络进行较为准确的区域等值,并嵌入到省间现货的出清模型中。区域内部节点对等值区域的功率转移权重具有时变特性且对出清计算精度至关重要,传统方法通常在每日采用一个固定均值作为近似已经无法满足要求。可再生能源比例的不断提升加剧系统运行的不确定性,具体体现在潮流转移变化频繁、阻塞多变场景增加,进一步影响传统固定化的区域等值方法的效果。为此,提出适应高比例可再生能源的价区划分与近似计算方法。首先,基于共识聚类的电力市场典型阻塞场景构建,提出电力市场区域等值的价区划分方法。然后,在此基础上提出节点对区域功率转移权重的改进计算方法,通过对节点特性分类计算功率转移权重矩阵,减缓其随注入功率时变导致计算精度降低的问题。最后,通过对IEEE 118节点算例进行验证所提模型的有效性。
Under the background of constructing a unified national electricity market,the integration between provincial markets has been deepening.When organizing inter-provincial spot trading,it is necessary to accurately delineate the regional equivalent values of the node network,taking into account each province's information security and limited computing power.These equivalent values are then embedded into the clearance model of inter-provincial spot trading.use congestion power transfer weights of internal nodes towards the price zone have time-varying characteristics and are The transfer distribution factor that can meet the requirement of computing efficiency.In this paper,we first crucial for the accuracy of the clearance calculation.Traditional methods often use a daily fixed mean value as an approximation,which is no longer sufficient to meet the requirements.The increasing proportion of renewable energy exacerbates the uncertainty of system operation,manifested in frequent changes in power flow transfer and an increase in volatile congestion scenarios,which will further affect the effectiveness of traditional fixed regional equivalent methods.This paper proposes a price zone division and approximation calculation method adapted to a high proportion of renewable energy.Firstly,based on consensus clustering,typical congestion scenarios in the electricity market are constructed,and a price zone equivalent partition method is proposed.Secondly,an improved calculation method for power transfer weights of internal nodes towards the price zone is presented.The problem of reduced calculation accuracy due to time-varying power injections is avoided by classifying node characteristics and calculating the power transfer weight matrix accordingly.Finally,the effectiveness of the proposed model is verified through validation using the IEEE 118-node case.
作者
纪鹏
黄成
孙田
赵天辉
周前
陈启鑫
JI Peng;HUANG Cheng;SUN Tian;ZHAO Tianhui;ZHOU Qian;CHEN Qixin(Beijing Power Exchange Center Co.,Ltd.,Beijing 100031,China;Electric Power Research Institute,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210036,China;State Key Laboratory of Power System Operation and Control,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)
出处
《电力科学与技术学报》
CAS
CSCD
北大核心
2023年第6期12-19,共8页
Journal of Electric Power Science And Technology
基金
国家电网公司总部科技项目(1400-202218246A-1-1-ZN)。
关键词
电力市场
价区划分
转移分布因子
模型等值
electricity market
price zone partition
transfer distribution factor
model equivalence