摘要
针对光伏出力具有不确定性、输配系统运行灵活性不足的问题,提出一种基于L形算法-目标级联分析(L-ATC)算法和综合需求响应的电-气双侧输配协同优化调度方法。基于分级调节思想构建电-气双侧输配协同优化框架,基于模糊理论构建梯形隶属度函数以刻画光伏出力的不确定性,并考虑以多元价格为引导信号,建立计及综合需求响应的电-气双侧输配协同优化调度模型。采用目标级联分析算法与L形算法对优化问题进行嵌套求解,实现分级决策与全局收敛。通过算例仿真验证所提模型和方法的有效性。
Aiming at the uncertainty of photovoltaic output and the insufficient operational flexibility of transmission and distribution systems,a collaborative optimal scheduling of electricity-gas bilateral transmission and distribution systems based on the L-shaped algorithm-analytical target cascading(L-ATC)algorithm and integrated demand response is proposed.Based on the idea of hierarchical regulation,a collaborative optimization framework of electricity-gas bilateral transmission and distribution systems is constructed.A trapezoidal membership function based on fuzzy theory is established to describe the uncertainty of photovoltaic output.Considering the guidance of multi-price signals,a collaborative optimal scheduling model of electricity-gas bilateral transmission and distribution systems considering integrated demand response is established.The analytical target cascading algorithm and L-shaped algorithm are adopted to solve the optimization problem in a nested manner,so as to achieve hierarchical decision-making and global convergence.
作者
张玉敏
齐昂
吉兴全
张少梅
叶平峰
孟祥剑
ZHANG Yumin;QI Ang;JI Xingquan;ZHANG Shaomei;YE Pingfeng;MENG Xiangjian(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;College of Electronic and Information Engineering,Shandong University of Science and Technology,Qingdao 266590,China;College of Energy Storage Technology,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《电力自动化设备》
北大核心
2026年第4期3-13,共11页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(52107111,62403288)
中国博士后面上资助项目(2023M734092)
山东省自然科学基金资助项目(ZR2022ME219,ZR2023QE181,ZR2024ME029)。
关键词
输配协同
综合能源系统
综合需求响应
L-ATC算法
优化调度
collaboration of transmission and distribution systems
integrated energy system
integrated demand response
L-ATC algorithm
optimal scheduling
