计及需求响应不确定性的主动配电网调度优化模型

doi:10.12028/j.issn.2095-4239.2019.0069

储能科学与技术 ›› 2019, Vol. 8 ›› Issue (4): 637-644.doi: 10.12028/j.issn.2095-4239.2019.0069

• 微电网与分布式储能技术专刊 • 上一篇下一篇

计及需求响应不确定性的主动配电网调度优化模型

周丹¹, 任志伟¹, 黄弘扬², 马俊超², 刘业伟¹, 戴慧雯¹

1 浙江工业大学信息工程学院, 浙江杭州 310023;
2 国网浙江省电力有限公司电力科学研究院, 浙江杭州 310014

收稿日期:2019-04-25 修回日期:2019-05-14 出版日期:2019-07-01 发布日期:2019-06-11
通讯作者: 周丹(1990-),男,博士,高级工程师,研究方向为能源互联网规划与控制等,E-mail:1051952582@qq.com。
作者简介:周丹(1990-),男,博士,高级工程师,研究方向为能源互联网规划与控制等,E-mail:1051952582@qq.com。
基金资助:
浙江省重点研发计划（2019C01149），国家电网公司科技项目（5211DS180031）。

Optimal dispatching model of active distribution network considering uncertainty of demand response

ZHOU Dan¹, REN Zhiwei¹, HUANG Hongyang², MA Junchao², LIU Yewei¹, DAI Huiwen¹

1 College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China;
2 State Grid Zhejiang Electric Power Co., Ltd. Electric Power Research Institute, Hangzhou 310014, Zhejiang, China

Received:2019-04-25 Revised:2019-05-14 Online:2019-07-01 Published:2019-06-11

摘要/Abstract

摘要： 在当前主动配电网日益发展的背景下，需求响应作为可调控的重要资源被引入配电网系统中，与分布式电源、储能等设备的共同作用下，保证配电网系统的安全稳定经济运行。然而系统响应过程中的外部环境的不确定性、价格需求曲线的不确定性等多方面因素，使得需求响应具有较大的不确定性，基于此，本文构建了一种考虑需求响应不确定性的主动配电网调度优化模型，以配电网运行成本最小为目标函数，重点分析两种不同类型的需求响应：基于激励的需求响应和基于价格的需求响应，考虑其不确定性条件下对主动配电网日前调度成本的影响，通过分段线性化对模型进行线性化处理，最终采用修改的IEEE33节点算例分析验证本文模型的有效性。

关键词: 需求响应, 不确定性, 分段线性化, 调度优化

Abstract: With the development of active distribution network, demand response, as an important adjustable resource, is introduced into the distribution network system to ensure the safe, stable and economic operation of the distribution network system under the combined action of distributed generation, energy storage and other equipment. However, the uncertainty of the external environment in the response process and the uncertainty of the price demand curve make the demand response have greater uncertainty in the current system. A scheduling optimization model of active distribution network considering demand response uncertainty is proposed in this paper, aiming to minimize the operating cost. This paper focus on the analysis of two different types of demand response:incentive-based demand response and price-sensitive demand response, whose influence of uncertainty on costs is also considered. And the model is linearized by piecewise linearization. Finally, rationality and effectiveness of the proposed model are verified with modified 33 node system.

Key words: demand response, uncertainty, piecewise linearization, optimization dispatch model

中图分类号:

TM732

周丹, 任志伟, 黄弘扬, 马俊超, 刘业伟, 戴慧雯. 计及需求响应不确定性的主动配电网调度优化模型[J]. 储能科学与技术, 2019, 8(4): 637-644.

ZHOU Dan, REN Zhiwei, HUANG Hongyang, MA Junchao, LIU Yewei, DAI Huiwen. Optimal dispatching model of active distribution network considering uncertainty of demand response[J]. Energy Storage Science and Technology, 2019, 8(4): 637-644.

参考文献

[1] 黄媚, 董文杰, 林子钊, 等. 主动配电网全资源系统的优化调度[J]. 高电压技术, 2017, 43(1):164-171. HUANG Mei, DONG Wenjie, LIN Zizhao, et al. Optimal scheduling of active distribution network based on whole resource system[J]. High Voltage Engineering, 2017, 43(1):164-171.
[2] PENG C, XIE P, PAN L, et al. Flexible robust optimization dispatch for hybrid wind/photovoltaic/hydro/thermal power system[J]. IEEE Transactions on Smart Grid, 2016, 7(2):751-762.
[3] 林俊豪, 古雄文, 马丽. 基于优化调度的用户侧电池储能配置及控制方法[J]. 储能科学与技术, 2018, 7(1):90-99. LIN Junhao, GU Xiongwen, MA Li. Optimal sizing and control of demand-side battery energy storage system[J]. Energy Storage Science and Technology, 2018, 7(1):90-99.
[4] 李建林, 靳文涛, 徐少华, 等. 用户侧分布式储能系统接入方式及控制策略分析[J]. 储能科学与技术, 2018, 7(1):80-89. LI Jianlin, JIN Wentao, XU Shaohua, et al. Analysis of access mode and control strategy of distributed energy storage system on user side[J]. Energy Storage Science and Technology, 2018, 7(1):80-89.
[5] DING T, LI C, YANG Y, et al. A two-stage robust optimization for centralized-optimal dispatch of photovoltaic inverters in active distribution networks[J]. IEEE Transactions on Sustainable Energy, 2017, 8(2):744-754.
[6] YI Y, WU Y, SU Y, et al. Dispatching approach for active distribution network considering PV generation reliability and load predicting interval[J]. IET Journals&Magazines, 2017, 2017(13):2433-2537.
[7] 贾先平, 邹晓松, 袁旭峰, 等. 含柔性负荷的主动配电网优化模型研究[J]. 电测与仪表, 2018, 55(13):46-52.JIA Xianping, ZOU Xiaosong, YUAN Xufeng, et al. Study on twolevel optimal scheduling model of active distribution network with flexible load[J]. Electrical Measurement & Instrumentation, 2018, 55(13):46-52.
[8] 刘波, 何珉, 谭丹. 考虑电动汽车的主动配电网储能优化配置[J]. 电测与仪表, 2018, 55(6):47-51. LIU Bo, HE Min, TAN Dan. Optimal allocation of energy storage in active distribution network considering electric vehicle[J]. Electrical Measurement & Instrumentation, 2018, 55(6):47-51.
[9] DUAN J, CHEN L, SUN Q, et al. Optimal scheduling strategy of active distribution system using brain storm optimisation algorithm[J]. The Journal of Engineering, 2017(13):2246-2250.
[10] 符杨, 廖剑波, 李振坤, 等. 考虑越限风险的主动配电网日前优化调度及运行[J]. 中国电机工程学报, 2017, 37(21):6328-6338. FU Yang, LIAO Jianbo, LI Zhenkun, et al. Day-ahead optimal scheduling and operating of active distribution network considering violation risk[J]. Proceedings of the CSEE, 2017, 37(21):6328-6338.
[11] TAN Y, CAO Y, LI Y, et al. Optimal day-ahead operation considering power quality for active distribution networks[J]. IEEE Transactions on Automation Science & Engineering, 2017, 14(2):425-436.
[12] SHARMA I, BHATTACHARYA K, CANIZARES C. Smart distribution system operations with price-responsive and controllable loads[C]//Power & Energy Society General Meeting, IEEE, 2015.
[13] HASAN Geramifar, MAJID Shahabi, TAGHI Barforoshi, et al. Coordination of energy storage systems and DR resources for optimal scheduling of microgrids under uncertainties[J]. IET Renewable Power Generation, 2017, 11(2):425-436.
[14] 曾丹, 姚建国, 杨胜春, 等. 应对风电消纳中基于安全约束的价格型需求响应优化调度建模[J]. 中国电机工程学报, 2014, 34(31):5571-5578. ZENG Dan, YAO Jianguo, YANG Shengchun, et al. Optimization dispatch modeling for price-based demand response considering security constraints to accommodate the wind power[J]. Proceedings of the CSEE, 2014, 34(31):5571-5578.
[15] 牛文娟, 李扬, 王蓓蓓. 考虑不确定性的需求响应虚拟电厂建模[J]. 中国电机工程学报, 2014, 34(22):3630-3637. NIU Wenjuan, LI Yang, WANG Beibei, et al. Demand response based virtual power plant modeling considering uncertainty[J]. Proceedings of the CSEE, 2014, 34(22):3630-3637.
[16] 彭文昊, 陆俊, 冯勇军, 等. 计及用户参与不确定性的需求响应策略优化方法[J]. 电网技术, 2018(5):1588-1594. PENG Wenhao, LU Jun, FENG Yongjun, et al. A demand response strategy optimization considering user participation uncertainty[J]. Power System Technology, 2018(5):1588-1594.
[17] 王蓓蓓, 李义荣, 李扬, 等. 考虑响应不确定性的可中断负荷参与系统备用配置的协调优化[J]. 电力自动化设备, 2015, 35(11):82-89. WANG Beibei, LI Yirong, LI Yang, et al. Optimal coordination between system reserve and interruptible loads with response uncertainty[J]. Electric Power Automation Equipment, 2015, 35(11):82-89.
[18] 张旭东, 王昊婧, 武赓, 等. 考虑电价不确定性的主动配电网网损成本鲁棒优化模型[J]. 电力自动化设备, 2017, 37(9):131-138. ZHANG Xudong, WANG Haojing, WU Geng, et al. Robust powerloss cost optimization model considering price uncertainty for active distribution network[J]. Electric Power Automation Equipment, 2017, 37(9):131-138.
[19] 孙宇军, 王岩, 王蓓蓓, 等. 考虑需求响应不确定性的多时间尺度源荷互动决策方法[J]. 电力系统自动化, 2018(2):106-113. SUN Yujun, WANG Yan, WANG Beibei, et al. Multi-time scale decision method for source-load interaction considering demand response uncertaint[J]. System Automation of Electric Power Systems, 2018(2):106-113.

计及需求响应不确定性的主动配电网调度优化模型

Optimal dispatching model of active distribution network considering uncertainty of demand response

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

编辑推荐

Metrics

本文评价

[1]	王俊伟, 任艺, 郭尊, 张岩. 基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度[J]. 储能科学与技术, 2022, 11(7): 2177-2187.
[2]	邓诗语, 刘文霞, 刘畅, 刘其达, 李守强, 刘宗歧. 考虑双重不确定及综合效能的配电网储能规划决策方法[J]. 储能科学与技术, 2022, 11(1): 164-175.
[3]	虞启辉, 田利, 李晓飞, 李晓东, 谭心, 张业明. 考虑风能不确定性的压缩空气储能容量配置及经济性评估[J]. 储能科学与技术, 2021, 10(5): 1614-1623.