摘要
光伏接入和用电负荷需求响应给能源系统运行带来了诸多的不确定性,增加了综合能源系统优化调度的复杂度。基于多源信息融合的综合能源系统,可以实时收集和处理海量运行数据,实现终端供能系统高效经济运行。在介绍基于多源信息融合的综合能源系统基础上,建立了用电负荷需求响应模型,用来描述可平移负荷需求响应特性,针对光伏出力不确定性,采用拉丁超立方采样和K-均值场景缩减技术生成典型场景集,以此确定光伏出力不确定性区间。建立了综合能源系统的典型设备数学模型,构建考虑用电负荷需求响应的综合能源系统经济运行鲁棒优化目标函数,并采用鲁棒优化算法进行求解。案例仿真结果显示,鲁棒优化在提高系统运行安全性的同时,增加了系统运行费用;同时,考虑需求响应后区域综合能源系统运行经济性得到提升,用户需求响应参与度越高,经济性提升效果越明显。
Due to the photovoltaic integration and the electrical demand response,the operation uncertainty of energy system and the complexity of optimal dispatch of integrated energy system have been increased significantly.The integrated energy system based on multi-source information fusion can collect and process massive operation data in real time,effectively supporting the integrated energy system to achieve efficient and economic operation of the terminal energy supply system.On the basis of introducing an integrated energy system based on multi-source information fusion,a demand response model of the power load is constructed to describe the demand response characteristics of the shiftable load.Focusing on the uncertainty of photovoltaic output,the Latin hypercube sampling and K-means scenario reduction technology are used to generate a typical scenario set,in order to determine the uncertainty range of photovoltaic output.A typical equipment mathematical model of the integrated energy system is established.Considering the demand response of the power load,a robust optimization objective function of the economic operation of the integrated energy system is constructed and the robust optimization algorithm is used to solve the problem.The case simulation results show that while improving the system operation safety,the robust optimization increases the system operation cost.After considering the demand response,the operation economy of the regional integrated energy system is improved.The more users participate in demand response,the more obvious the economic improvement will be.
作者
翟晶晶
吴晓蓓
傅质馨
朱少杰
刘皓明
ZHAI Jingjing;WU Xiaobei;FU Zhixin;ZHU Shaojie;LIU Haoming(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China)
出处
《中国电力》
CSCD
北大核心
2020年第8期9-18,共10页
Electric Power
基金
国家自然科学基金资助项目(极端天气事件下电力-天然气综合能源系统的弹性策略研究,51607036)。
关键词
综合能源
多源信息融合
不确定性
鲁棒优化
需求响应
多元储能
integrated energy
multi-source information fusion
uncertainty
robust optimization
demand response
multiple energy storage
