文章摘要
马丽,薛飞,石季英,等.有源配电网分布式电源与智能软开关三层协调规划模型[J].电力系统自动化,2018,42(11):86-93. DOI: 10.7500/AEPS20171118002.
MA Li,XUE Fei,SHI Jiying, et al.Tri-level Coordinated Planning Model of Distributed Generator and Intelligent Soft Open Point for Active Distribution Network[J].Automation of Electric Power Systems,2018,42(11):86-93. DOI: 10.7500/AEPS20171118002.
有源配电网分布式电源与智能软开关三层协调规划模型
Tri-level Coordinated Planning Model of Distributed Generator and Intelligent Soft Open Point for Active Distribution Network
DOI:10.7500/AEPS20171118002
关键词: 有源配电网  分布式电源  智能软开关  多层协调规划  运行优化  分布式电源消纳
KeyWords: active distribution network  distributed generator  intelligent soft open point  multi-level coordinated planning  operation optimization  distributed generator accommodation
上网日期:2018-03-06
基金项目:国家重点研发计划资助项目(2017YFB0903000);国家自然科学基金资助项目(61571324);天津市自然科学基金重点项目(16JCZDJC30900)
作者单位E-mail
马丽 智能电网教育部重点实验室(天津大学), 天津市 300072  
薛飞 国网宁夏电力有限公司电力科学研究院, 宁夏回族自治区银川市 750001  
石季英 智能电网教育部重点实验室(天津大学), 天津市 300072 eesjy@163.com 
秦子健 国网山东省电力有限公司莱芜供电公司, 山东省莱芜市 271100  
凌乐陶 智能电网教育部重点实验室(天津大学), 天津市 300072  
杨挺 智能电网教育部重点实验室(天津大学), 天津市 300072  
摘要:
      当前配电系统调节能力的欠缺严重限制了高比例可再生分布式电源(DG)的广泛并网。在以智能软开关(SOP)为代表的电力电子装置接入系统的趋势下,考虑系统规划与运行优化相结合,协调DG运营商与配电公司的利益需求,提出一种有源配电网DG与SOP三层协调规划模型。上层以DG运营商单位容量收益最大化为目标进行DG规划,中层以配电公司年综合成本最小化为目标进行SOP规划,下层以场景内运行成本最小化为目标优化系统运行状态,决策DG消纳量返回上层与中层模型。采用场景分析法解决DG与负荷的随机性问题,基于并行遗传算法和锥规划的混合算法求解模型。最后以IEEE 33节点系统为例,与仅规划DG,DG和SOP先后规划的情况对比,结果表明兼顾系统运行优化的DG与SOP协调规划有利于满足不同主体的利益需求,提高规划方案可行性。
Abstract:
      High-proportion renewable distributed generator(DG)connecting into grid is blocked by the regulating ability deficiency of existing distribution networks. Under the trend of power electronic devices represented by the intelligent soft point(SOP), a tri-level planning model for DG and SOP of active distribution network is proposed to coordinate the benefits for DG operators and distribution companies while considering the combination of system planning and operation optimization in active distribution network. The upper level aims at maximizing the DG operator revenues of unit capacity for DG planning. The middle level is devised to minimize the annual comprehensive cost of distribution companies for SOP planning. The lower level aims at minimizing the operation cost in each scenario to optimize the system operation condition and deciding the DG accommodation capacity back to the upper and middle level. Scenario analysis technique is utilized to deal with the randomness of DG and load and a hybrid algorithm combining genetic algorithm and conic planning is designed to solve the model. Finally, compared with two cases on IEEE 33-node system, which are merely planning DG and successively planning DG and SOP, the result shows that the proposed model has the advantages in coordinating benefits for different stakeholders and improving the feasibility of planning schemes.
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