李逐云;雷霞;邱少引;刘增庆;张力;

• 1:流体及动力机械教育部重点实验室(西华大学)

摘要(Abstract)：

提出一种考虑配电公司、DG运营商和用户利益的主动配电网(ADN)三层规划模型,并分析了各层间的相互关系,用于协调"源"、"网"、"荷"三方的利益以及促进资源的优化利用。其中,"源"层以DG运营商利益最大进行DG的选址定容,"网"层以配电公司建设运行成本最小进行配电网的扩展规划,"荷"层以用户参与利益最大进行基于激励型和价格型DSR项目的用电调整,并采用结合支持向量机回归(SVR)拟合潮流计算的并行遗传膜算法(PGMA)求解所建模型。最后,通过54节点系统的算例应用,表明三层规划模型可以有效协调DG和网架的规划,合理确定用户参与DSR的响应方案,实现"源"、"网"、"荷"三方的利益共赢,PGMA算法具有计算速度快和全局搜索能力强等优点。

关键词(KeyWords)： 主动配电网;三层协调规划;分布式电源;需求侧响应;并行遗传膜算法

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51677020);; 教育部春晖计划项目(Z2016145);; 四川省电力电子节能技术与装备重点实验室开放基金(szjj2014-015)~~

作者(Author): 李逐云;雷霞;邱少引;刘增庆;张力;

Email:

DOI:

参考文献(References)：

• [1]邢海军,程浩忠,张沈习,等.主动配电网规划研究综述[J].电网技术,2015,39(10):2705-2711.Xing Haijun,Cheng Haozhong,Zhang Shenxi,et al.Review of active distribution network planning[J].Power System Technology,2015,39(10):2705-2711(in Chinese).
• [2]姚建国,杨胜春,王珂,等.智能电网“源?网?荷”互动运行控制概念及研究框架[J].电力系统自动化,2012,36(21):1-6.Yao Jianguo,Yang Shengchun,Wang Ke,et al.Concept and research framework of smart grid“source-grid-load”interactive operation and control[J].Automation of Electric Power Systems,2012,36(21):1-6(in Chinese).
• [3]宋艺航,谭忠富,李欢欢,等.促进风电消纳的发电侧、储能及需求侧联合优化模型[J].电网技术,2014,38(3):610-615.Song Yihang,Tan Zhongfu,Li Huanhuan,et al.An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J].Power System Technology,2014,38(3):610-615(in Chinese).
• [4]马钊,梁惠施,苏剑.主动配电系统规划和运行中的重要问题[J].电网技术,2015,39(6):1499-1503.Ma Zhao,Liang Huishi,Su Jian,et al.Important issues in planning and operation of active distribution system[J].Power System Technology,2015,39(6):1499-1503(in Chinese).
• [5]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源?网?荷?储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.Zeng Ming,Yang Yongqi,Liu Dunnan,et al.“GenerationGrid-Load-Storage”coordinative optimal operation mode of energy internet and key technologies[J].Power System Technology,2016,40(1):114-124(in Chinese).
• [6]Vinicius F.Martins,Carmen L.T.Borges.Active distribution network integrated planning incorporating distributed generation and load response uncertainties[J].IEEE Transactions on Power Systems,2011,26(4):2164-2172.
• [7]Hakimi S M,Moghaddas-Tafreshi S M.Optimal planning of a smart microgrid including demand response and intermittent renewable energy resources[J].IEEE Transactions on Smart Grid,2014,5(6):2889-2900.
• [8]曾鸣,吕春泉,邱柳青,等.风电并网时基于需求侧响应的输电规划模型[J].电网技术,2011,35(4):129-134.Zeng Ming,LüChunquan,Qiu Liuqing,et al.A demand-side response-based transmission planning model with grid-connected wind farms[J].Transactions of China Electrotechnical Society,2011,35(4):129-134(in Chinese).
• [9]Geev Mokryani.Active distribution networks planning with integration of demand response[J].Solar Energy,122(2015):1362-1370.
• [10]Haoyong Chen,Zengyu Wang,Haifeng Yan,et al.Integrated planning of distribution systems with distributed generation and demand side response[J].Energy Procedia,75(2015):981-986.
• [11]张宁,胡兆光,周渝慧,等.计及随机模糊双重不确定性的源网荷协同规划模型[J].电力系统自动化,2016,40(1):39-44.Zhang Ning,Hu Zhaoguang,Zhou Yuhui,et al.Source-grid-load coordinated planning model considering randomness and fuzziness[J].Automation of Electric Power Systems,2016,40(1):39-44(in Chinese).
• [12]朱兰,严正,杨秀,等.计及需求侧响应的微网综合资源规划方法[J].中国电机工程学报,2014,34(16):2621-2628.Zhu Lan,Yang Zheng,Yang Xiu,et al.Integrated resources planning in microgrid based on modeling demand response[J].Proceedings of the CSEE,2014,34(16):2621-2628(in Chinese).
• [13]方略.考虑不同投资主体的分布式电源优化规划研究[D].上海:上海交通大学,2015.
• [14]方陈,张翔,程浩忠,等.主动管理模式下含分布式发单的配电网网架规划[J].电网技术,2014,38(4):823-829.Fang Chen,Zhang Xiang,Cheng Haozhong,et al.Framework planning of distribution network containing distributed generation considering active management[J].Power System Technology,2014,38(4):823-829(in Chinese).
• [15]苏海锋,张建华,梁志瑞,等.基于LCC和改进粒子群算法的配电网多阶段网架规划优化[J].中国电机工程学报,2013,33(4):118-125.Su Haifeng,Zhang jianhua,Liang Zhirui,et al.Multi-stage planning optimization for power distribution network based on LCC and improved PSO[J].Proceedings of the CSEE,2013,33(4):118-125(in Chinese).
• [16]吴泓俭,雷霞,刘斌,等.基于遗传膜算法的含风电机组和电动汽车的配电网分时段动态重构[J].电工技术学报,2016,31(2):196-205,220.Wu Hongjian,Lei Xia,Liu Bin,et al.Membrane computing based genetic algorithm for dynamic reconfiguration of distribution network with dividing time and considering electric vehicles and wind turbines[J].Transactions of China Electrotechnical Society,2016,31(2):196-205,220(in Chinese).
• [17]LEI X,WU H,SHI Y,et al.Distribution network reconfiguration based on parallel genetic membrane computing[J].Journal of Intelligent&Fuzzy Systems,2015,29(5):2287-2298.
• [18]汤红卫.基于GIS的农村电网规划方法的研究[D].北京:中国农业大学,2001.