计及多类型需求响应资源的配电网分布式电源优化配置

doi:10.11930/j.issn.1004-9649.201805112

中国电力 ›› 2019, Vol. 52 ›› Issue (11): 51-59,67.DOI: 10.11930/j.issn.1004-9649.201805112

计及多类型需求响应资源的配电网分布式电源优化配置

赵楠, 王蓓蓓

东南大学电气工程学院, 江苏南京 210096

收稿日期:2018-05-21 修回日期:2019-07-08 出版日期:2019-11-05 发布日期:2019-11-05
作者简介:赵楠(1988-),女,博士研究生,从事综合能源规划运行及电力市场研究,E-mail:znzrqqq@sina.com;王蓓蓓(1979-),女,副教授,从事电力市场研究,E-mail:wangbeibei@seu.edu
基金资助:
国家自然科学基金资助项目（71471036）

Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources

ZHAO Nan, WANG Beibei

School of Electrical Engineering, Southeast University, Nanjing 210096, China

Received:2018-05-21 Revised:2019-07-08 Online:2019-11-05 Published:2019-11-05
Supported by:
This work is supported by National Natural Science Foundation of China (No.71471036)

摘要/Abstract

摘要： 近年来主动配电网运行中分布式电源与需求响应资源所占比重越来越大。为了充分利用配电网资源，主要研究间歇性分布式电源（DG）与配电网中多类型需求响应资源（DR）的协同规划。通过建立基于机会约束规划方法的双层优化模型，根据2种资源的出力特性，求解间歇性DG和DR的最优综合配置方案。最后通过在IEEE 34节点配电系统仿真得到灵活DR互动效果对DG配置的影响。仿真得出，DR资源调度可以在配网运行中可以改善弃风、切负荷、电压越限，从而提高了配网中DG接入能力；在峰谷差较大、电压越限、线路阻塞等不同应用场景下DR布局也会不同。所提模型为大规模需求响应资源参与配电网规划奠定了基础。

关键词: 分布式电源, 需求响应, 双层优化模型, 机会约束规划

Abstract: In recent years, the distributed generation (DG) and demand response (DR) resources have made up an increasing portion in the operation of active distribution network. In order to fully utilize the resources of distribution system, a study is made in this paper on integrated planning of intermittent distributed generation and multi-type demand response resources. To obtain the optimal allocation scheme of intermittent DG and DR, a chance-constraint programming-based bi-level optimal model is established according to their output characteristics. A series of simulations are made on the IEEE 34-node distribution system to understand the influence of DR's interaction on DG allocation. Simulation results illustrate that DR resources can be dispatched to improve the wind curtailment, load curtailment and voltage exceeding problem, consequently enhancing the access capability of DGs. In different application scenarios such as large difference between peak and valley loads, voltage exceeding and power line congestion, the allocations of DR are also different. The model proposed in this paper lies a foundation for large-scale DR resources participating in distribution system planning.

Key words: distributed generation, demand response, bi-level optimal model, chance-constraint programming

中图分类号:

TM712

赵楠, 王蓓蓓. 计及多类型需求响应资源的配电网分布式电源优化配置[J]. 中国电力, 2019, 52(11): 51-59,67.

ZHAO Nan, WANG Beibei. Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources[J]. Electric Power, 2019, 52(11): 51-59,67.

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参考文献

[1] 陈海焱, 段献忠, 陈金富. 分布式发电对配网静态电压稳定性的影响[J]. 电网技术, 2006, 30(19):27-30 CHEN Haiyan, DUAN Xianzhong, CHEN Jinfu. Impacts of distributed generation on steady state voltage stability of distribution system[J]. Power System Technology, 2006, 30(19):27-30
[2] HADJSAID N, CANARD J, DUMAS F. Dispersed generation impact on distribution networks[J]. IEEE Computer Applications in Power, 1999, 12(2):22-28.
[3] 裴玮, 盛鹍, 孔力, 等. 分布式电源对配网供电电压质量的影响与改善[J]. 中国电机工程学报, 2008, 28(13):152-157 PEI Wei, SHENG Kun, KONG Li, et al. Impact and improvement of distributed generation on distribution network voltage quality[J]. Proceedings of the CSEE, 2008, 28(13):152-157
[4] KASHEM M A, LE A D T, NEGNEVITSKY M, et al. Distributed generation for minimization of power losses in distribution systems[C]//2006 IEEE Power Engineering Society General Meeting,June 18-22, 2006. Montreal, Que., Canada. IEEE, 2006:1-8.
[5] 孙建军, 张世泽, 曾梦迪, 等. 考虑分时电价的主动配电网柔性负荷多目标优化控制[J]. 电工技术学报, 2018, 33(2):401-412 SUN Jianjun, ZHANG Shize, ZENG Mengdi, et al. Multi-objective optimal control for flexible load in active distribution network considering time-of-use tariff[J]. Transactions of China Electrotechnical Society, 2018, 33(2):401-412
[6] 汤奕, 鲁针针, 伏祥运. 居民主动负荷促进分布式电源消纳的需求响应策略[J]. 电力系统自动化, 2015, 39(24):49-55 TANG Yi, LU Zhenzhen, FU Xiangyun. Demand response strategies for promoting consumption of distributed power generation with residential active loads[J]. Automation of Electric Power System, 2015, 39(24):49-55
[7] 杨汾艳, 陈晓科, 黄嘉健, 等. 储能与间歇式DG的容量配比关系以及实用估算方法[J]. 中国电力, 2016, 49(3):128-133 YANG Fenyan, CHEN Xiaoke, HUANG Jiajian, et al. Capacity ratio of energy storage over intermittent DG and practical estimating method[J]. Electric Power, 2016, 49(3):128-133
[8] 侯建朝, 胡群丰, 谭忠富. 计及需求响应的风电-电动汽车协同调度多目标优化模型[J]. 电力自动化设备, 2016, 36(7):22-27 HOU Jianchao, HU Qunfeng, TAN Zhongfu. Multi-objective optimization model of collaborative WP-EV dispatch considering demand response[J]. Electric power automation equipment, 2016, 36(7):22-27
[9] 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, YAN 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
[10] 张建华, 曾博, 张玉莹, 等. 主动配电网规划关键问题与研究展望[J]. 电工技术学报, 2014, 29(2):13-23 ZHANG Jianhua, ZENG Bo, ZHANG Yuying, et al. Key issues and research prospects of active distribution network planning[J]. Transactions of China Electrotechnical Society, 2014, 29(2):13-23
[11] 颜伟, 吕冰, 赵霞, 等. 计及需求响应影响的配网可控DG和开关协调规划[J]. 电网技术, 2014, 38(8):2220-2224 YAN Wei, LV Bing, ZHAO Xia, et al. Coordinated allocation of controllable distributed generation and switchers in distribution system considering demand response[J]. Power System Technology, 2014, 38(8):2220-2224
[12] 赵波, 包侃侃, 徐志成, 等. 考虑需求响应的光储并网型微电网优化配置[J]. 中国电机工程学报, 2015, 35(21):5465-5473 ZHAO Bo, BAO Kankan, XU Zhicheng, et al. Optimal sizing for grid-connected PV-and-storage microgrid considering demand response[J]. Proceedings of the CSEE, 2015, 35(21):5465-5473
[13] 曾鸣, 彭丽霖, 孙静惠, 等. 兼容需求侧可调控资源的分布式能源系统经济优化运行及其求解算法[J]. 电网技术, 2016, 40(6):1650-1656 ZENG Ming, PENG Lilin, SUN Jinghui, et al. Economic optimization and corresponding algorithm for distributed energy system compatible with demand-side resources[J]. Power System Technology, 2016, 40(6):1650-1656
[14] 杨雪纯. 需求响应参与大规模风电消纳的运行机制研究[D]. 南京:东南大学, 2016. YANG Xuechun. Research on operation mechanism of demand response on wind power intergration[D]. Nanjing:Southeast University, 2016.
[15] 王广民, 万仲平, 王先甲. 二(双)层规划综述[J]. 数学进展, 2007, 36(5):513-529 WANG Guangmin, WAN Zhongping, WANG Xianjia. Bibliography on bilevel programming[J]. Advances in Mathematics, 2007, 36(5):513-529
[16] 刘红英.多层规划和多目标规划的讨论[J].应用数学,2002,15(增刊1):186-190. LIU Hongying. Research on the relation between multi-level programming and multi-objective programming[J]. Mathematica Applicata, 2002, 15(S1):186-190.
[17] 陈宝林. 最优化理论与算法[M]. 2版. 北京:清华大学出版社, 2009:246-253.
[18] HSU Y Y, SU C C. Dispatch of direct load control using dynamic programming[J]. IEEE Transactions on Power Systems, 1991, 6(3):1056-1061.
[19] 郑乐, 胡伟, 陆秋瑜, 等. 储能系统用于提高风电接入的规划和运行综合优化模型[J]. 中国电机工程学报, 2014, 34(16):2533-2543 ZHENG Le, HU Wei, LU Qiuyu, et al. Research on planning and operation model for energy storage system to optimize wind power integration[J]. Proceedings of the CSEE, 2014, 34(16):2533-2543
[20] 李松, 吕林, 雷成, 等. 基于电压灵敏度的分布式电源接入规划[J]. 可再生能源, 2014, 32(11):1644-1649 LI Song, LV Lin, LEI Cheng, et al. Planning of distributed generation based on voltage sensitivity[J]. Renewable Energy Resources, 2014, 32(11):1644-1649

计及多类型需求响应资源的配电网分布式电源优化配置

Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources

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Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources

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