基于联合加权熵的高比例可再生能源电网适应性扩展规划  

Adaptability Expansion Planning of Grid with High Penetration Renewable Energy Applying United Weighted Entropy Theory

作　　者：王晞 苟竞 苏韵掣 杨新婷 欧阳雪彤 李奥 樊金柱 李华强[2] WANG Xi;GOU Jing;SU Yunche;YANG Xinting;OUYANG Xuetong;LI Ao;FAN Jinzhu;LI Huaqiang(State Grid Sichuan Economic Research Institute,Chengdu 610041,China;College of Electrical Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]国网四川省电力公司经济技术研究院,成都市610041 [2]四川大学电气工程学院,成都市610065

出　　处：《电力建设》2019年第12期45-54,共10页Electric Power Construction

基　　金：国家电网公司科技项目(521996170006);四川省科技支撑项目(2017GZ0343)~~

摘　　要：为满足可再生能源大规模并网的发展趋势,提升系统对可再生能源的接纳能力,亟需规划建设具有高适应性的电网结构。基于联合加权熵理论,文章从适应可再生能源安全并网角度出发,提出一套面向电网规划的适应性指标体系。该指标体系同时考虑不确定运行环境下,电网潮流分布的安全性及稳定性,节点、支路的均衡性及合理性,通过分析电网实际状态及电气结构以评估可再生能源并网不确定环境下电力系统的安全性。然后,基于适应性指标建立输电网多目标规划模型,并采用带层次分析约束锥的数据包络分析法对Pareto非劣解集进行综合决策。最后,以Garver-18节点系统进行算例仿真,验证文章提出的指标体系及规划模型的合理性、有效性。In order to meet the trend of large-scale integration of renew able energy to pow er grid,it is urgent to plan a grid structure w ith high adaptability to improve the system’s capability to accept renew able energy.Applying the united w eighted entropy theory,a series of adaptive indexes for pow er grid planning is proposed to analyze the security of pow er grid after renew able energy integration.In uncertain operation environment,the indexes consider the security and stability of pow er flow distribution,the balance and rationality of nodes and branches.By analyzing the actual state and electrical structure of the pow er grid,the security of the grid w ith renew able energy is evaluated.Then,a multi-objective programming model of transmission netw ork is established on the basis of the adaptability indexes,and the data envelope analysis model w ith analytic hierarchy process restraint cone is used to make comprehensive decision on Pareto solution set.Finally,an example of Garver 18-node system is simulated to verify the rationality and effectiveness of the indexes and the planning model.

关 键 词：联合加权熵 安全适应性 输电网规划 高比例可再生能源 

分 类 号：TM715[电气工程—电力系统及自动化]