山东电力技术2026，Vol.53Issue(8)：37-49,13.DOI:10.20097/j.cnki.issn1007-9904.250430
考虑多维灵活性需求的电力系统日前优化调度方法
Power System Day-ahead Optimization Dispatch Method Considering Multi-dimensional Flexibility Requirements
摘要
Abstract
The integration of a high proportion of renewable energy sources into power grids significantly increases the peak-to-valley difference in the net load curve and exacerbates fluctuations in voltage and system frequency.The traditional dispatch methods,which primarily focus on peak load management,are inadequate for addressing the multidimensional flexibility requirements of modern power systems.To tackle this challenge,a day-ahead optimal scheduling method that incorporates the multidimensional flexibility requirements is proposed.First,a joint probability distribution model using Vine Copula is developed to capture the spatiotemporal correlations among wind,solar generation,and load demand.This model is used to generate representative scenarios through Latin hypercube sampling and k-medoids clustering.Then,a quantitative framework is built to assess the power system multidimensional flexibility requirements,including peaking shaving,frequency regulation,and voltage regulation.In addition,a day-ahead optimal scheduling model that minimizes operational costs while adhering to these multidimensional flexibility constraints is formulated to optimize the operation power of generation units.Finally,case study results demonstrate the effectiveness of the proposed method in enhancing the power system flexibility for peak shaving,frequency regulation,and voltage regulation.关键词
灵活性/日前调度/藤Copula/新能源消纳Key words
flexibility/day-ahead scheduling/vine Copula/new energy commendation分类
信息技术与安全科学引用本文复制引用
于飞,白茂金,曹永吉,郑雅睿,牛远方,赵兰明..考虑多维灵活性需求的电力系统日前优化调度方法[J].山东电力技术,2026,53(8):37-49,13.基金项目
智能电网国家科技重大专项(2024ZD0801100). The National Science and Technology Major Project of the Ministry of Science and Technology of China(2024ZD0801100). （2024ZD0801100）
