您的位置：山东大学 -> 科技期刊社 -> 《山东大学学报（工学版）》

山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 32-38.doi: 10.6040/j.issn.1672-3961.0.2017.399

• • 上一篇    下一篇

两级市场运行环境下微电网经济调度

王士柏1,杜恒2,武勇2,刘洪正1,程艳1   

  1. 1. 国网山东省电力公司电力科学研究院, 山东 济南 250003;2. 国网济宁供电公司, 山东 济宁 272007
  • 收稿日期:2017-08-15 出版日期:2017-12-20 发布日期:2017-08-15
  • 作者简介:王士柏(1987— ),男,山东烟台人,工程师,博士,主要研究方向为电力系统调度与经济运行. E-mail:wangshibosdu@126.com
  • 基金资助:
    国家科技支撑计划资助项目(2015BAA07B00);国家自然科学基金青年科学基金资助项目(61503216)

Economic dispatch of microgrid under two-level market operating environment

WANG Shibo1, DU Heng2, WU Yong2, LIU Hongzheng1, CHENG Yan1   

  1. 1. Electric Power Research Institue, State Grid Shandong Electric Power Company, Jinan 250003, Shandong, China;
    2. State Grid Jining Power Supply Company, Jining 272007, Shandong, China
  • Received:2017-08-15 Online:2017-12-20 Published:2017-08-15

PDF (PC)

369

摘要： 为解决微电网在电力市场中日前市场和实时市场分离决策时产生的矛盾与偏差,在微电网调度中同时考虑两个不同时间尺度市场与微网集中控制系统之间的能量交互,统一进行协调决策,并给出两级市场运行环境下的微电网经济调度模型。在决策中引入需求侧响应的调控手段,为微网应对不确定性而提供辅助服务给出有益参考。结合微网典型算例分析,验证本研究所提方法的正确性和有效性。

关键词: 日前市场, 决策, 实时市场, 微电网, 经济调度, 需求侧响应

Abstract: To resolve the contradiction and deviation produced by microgrids isolation decision between day-ahead market and real-time market, energy exchanges between power market and microgrid control system of two different time scales were considered. An economic dispatching model of microgrid under two-level market operating environment was proposed to make concerted decision. Simultaneously, control means of demand side response influences were introduced to decision making process to provide beneficial references for the ancillary service of microgrids coping with uncertainties. The correctness and effectiveness were verified by simulations on a typical microgrid.

Key words: decision-making, real-time market, day-ahead market, demand side response, microgrid, economic dispatch

中图分类号: 

  • TM73
[1] 王成山, 许洪华.微电网技术及应用[M]. 北京:科学出版社, 2016.
[2] 宗鲁相, 王彩霞, 闵勇, 等.微电网研究综述[J]. 电力系统自动化, 2007, 31(19):100-107. ZONG Luxiang, WANG Caixia, MIN Yong, et al. Overview on microgrid research[J]. Automation of Electric Power Systems, 2007, 31(19):100-107.
[3] CHEN Gang, ZHAO Zhongyuan.Delay effects on consensus-based distributed economic dispatch algorithm inmicrogrid[J]. IEEE Transactions on Power Systems, 2017(99):1-1.
[4] PAUL T, GHOSH S, KAMALASADAN S, et al. A quadratic programming based optimal power and battery dispatch for grid connected microgrid[C] //2016 IEEE Industry Applications Society Annual Meeting.Portland, USA:IEEE, 2016:1-8.
[5] YU Jiangfeng, WEI Wei, PENG Yonggang. A real-time optimal energy dispatch for microgrid including battery energy storage[C] //2016 10th International Conference on Software, Knowledge, Information Management & Applications(SKIMA). Indianapolis, USA:CIKM, 2016:314-318.
[6] MOHAMED F A, KOIVO H N. Online management of microgrid with battery storage using multi-objective optimization[C] //International Conference on Power Engineering, Energy and Electrical Drives. Setubal, Portugal:IEEE, 2007:231-236.
[7] ZHANG Zhong, WANG Jianxue, DING Tao, et al. A two-layer model for microgrid real-time dispatch based on energy storage system charging/discharging hidden costs[J]. IEEE Transactions on Sustainable Energy, 2017, 8(1):33-42.
[8] 赵波, 包侃侃, 徐志成, 等. 考虑需求侧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):5465-5474. 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):5465-5474.
[9] 董开松, 丁岩, 谢永涛, 等. 基于需求侧响应的微电网市场优化模型[J]. 高压电器, 2015, 51(6):122-126. DONG Kaisong, DING Yan, XIE Yongtao, et al. Market optimization model for microgrid with demand response[J]. High Voltage Apparatus, 2015, 51(6):122-126.
[10] 苏新霞. 基于需求侧管理的微电网运行优化研究[D]. 上海:上海电机学院, 2016. SU Xinxia. Optimized operation research of micro-grid based on demand side management[D]. Shanghai:Shanghai Dianji University, 2016.
[11] LI Jie, LIU Yikui, WU Lei. Optimal operation for community based multi-party microgrid in grid-connected and islanded modes[J]. IEEE Transactions on Smart Grid, 2017(99):1-1.
[12] NNAMDI N. Optimal operational dispatch of an islanded microgrid[C] //2017 International Conference on the Domestic Use of Energy(DUE). South Town, South Africa:IEEE, 2017:199-203.
[13] THOMAS J, SO P L.Voltage and frequency control during microgrid islanding in a multi-area multi-microgrid system[J]. IET Generation, Transmission & Distribution, 2017, 11(6):1502-1512.
[14] 蒋东荣, 刘学军, 李群湛. 电力市场环境下电网日发电计划的电量经济分配策略[J]. 中国电机工程学报, 2004, 24(7):90-94. JIANG Dongrong, LIU Xuejun, LI Qunzhan. Economically distributing strategies for daily generation scheduling in a power system under power market environment[J]. Proceedings of the CSEE, 2004, 24(7):90-94.
[15] 魏路平, 张小白, 卢敏, 等.日前电力市场环境下的实时调度[J]. 电力系统自动化, 2007, 31(24):38-41. WEI Luping, ZHANG Xiaobai, LU Min, et al. Study and realization of real-time dispatch in day-ahead power market[J]. Automation of Electric Power Systems, 2007, 31(24):38-41.
[16] 白峪豪. 含分布式电源的微电网经济调度模型研究[D]. 杭州:浙江大学, 2012. BAI Yuhao. Research on micro-grid economic dispatch model with distributed power resources embedded[D]. Hangzhou:Zhejiang University, 2012.
[17] 黄伟, 黄婷, 周欢, 等. 基于改进微分进化算法的微电网动态经济优化调度[J]. 电力系统自动化, 2014, 38(9):211-217. HUANG Wei, HUANG Ting, ZHOU Huan, et al. Dynamic economic dispatch for microgrid based on improved differential evolution algorithm[J]. Automation of Electric Power Systems, 2014, 38(9):211-217.
[18] 赵波, 薛美东, 陈荣柱, 等. 高可再生能源渗透率下考虑预测误差的微电网经济调度模型[J]. 电力系统自动化, 2014, 38(7):1-8. ZHAO Bo, XUE Meidong, CHEN Rongzhu, et al. An economic dispatch model for microgrid with high renewable energy resource penetration considering forecast errors[J]. Automation of Electric Power Systems, 2014, 38(7):1-8.
[19] 刘春阳, 王秀丽, 刘世民, 等. 计及蓄电池使用寿命的微电网经济调度模型[J]. 电力自动化设备, 2015, 35(10):29-36. LIU Chunyang, WANG Xiuli, LIU Shimin, et al. Economic dispatch model considering battery lifetime for microgrid[J]. Electric Power Automation Equipment, 2015, 35(10):29-36.
[20] 陈思, 张焰, 薛贵挺, 等.考虑与电动汽车换电站互动的微电网经济调度[J]. 电力自动化设备, 2015, 35(4):60-69. CHEN Si, ZHANG Yan, XUE Guiting, et al.Microgrid economic dispatch considering interaction with EV BSS[J]. Electric Power Automation Equipment, 2015, 35(4):60-69.
[21] 丁浩, 高峰, 刘坤, 等. 基于鲁棒优化的含风电工业微电网经济调度模型[J]. 电力系统自动化, 2015, 39(17):160-167. DING Hao, GAO Feng, LIU Kun, et al. An economic dispatch model in an industrial microgrid with wind power based on robust optimization[J]. Automation of Electric Power Systems, 2015, 39(17):160-167.
[22] 汪隆君, 许海林, 王钢, 等. 计及分布式电源功率特性的微电网经济调度模型[J]. 电力系统自动化, 2016, 40(11):31-38. WANG Longjun, XU Hailin, WANG Gang, et al. Economic dispatch model for microgrid considering power characteristics of distributed generators[J]. Automation of Electric Power Systems, 2016, 40(11):31-38.
[23] 任建文, 渠卫东. 基于机会约束规划的孤岛模式下微电网动态经济调度[J]. 电力自动化设备, 2016, 36(3):73-78. REN Jianwen, QU Weidong.Dynamic economic dispatch based on chance-constrained programming for islanded microgrid[J]. Electric Power Automation Equipment, 2016, 36(3):73-78.
[24] 杨毅, 雷霞, 叶涛, 等.考虑安全性与可靠性的微电网电能优化调度[J]. 中国电机工程学报, 2014, 34(19):3080-3088. YANG Yi, LEI Xia, YE Tao, et al. Microgrid energy optimal dispatch considering the security and reliability[J]. Proceedings of the CSEE, 2014, 34(19):3080-3088.
[25] 郭凯. 电力市场环境下微网经济运行[D]. 天津:天津大学, 2014. GUO Kai. The economic operation of microgrid in the power market[D]. Tianjin:Tianjin University, 2014.
[26] 张国立, 李庚银, 谢宏, 等.日前和实时市场统一电能交易模型[J]. 中国电机工程学报, 2006, 26(21):50-56. ZHANG Guoli, LI Gengyin, XIE Hong, et al. Unification energy trade model for day-ahead and real-time markets[J]. Proceedings of the CSEE, 2006, 26(21):50-56.
[1] 钱淑渠,武慧虹,徐国峰,金晶亮. 计及排放的动态经济调度免疫克隆演化算法[J]. 山东大学学报(工学版), 2018, 48(4): 1-9.
[2] 梁志远,龚庆武,陈元峰. 电热水器与变频空调负荷群的联合调度控制[J]. 山东大学学报(工学版), 2018, 48(2): 100-106.
[3] 邱路,叶银忠,姜春娣. 基于小波奇异熵和SOM神经网络的微电网系统故障诊断[J]. 山东大学学报(工学版), 2017, 47(5): 118-122.
[4] 张莉, 夏佩佩, 李凡长. 基于余弦相似性的供应商选择方法[J]. 山东大学学报(工学版), 2017, 47(1): 1-6.
[5] 熊文涛,冯育强. 基于决策人满意度的区间UTA方法[J]. 山东大学学报(工学版), 2016, 46(2): 72-77.
[6] 景运革,李天瑞. 基于知识粒度的增量约简算法[J]. 山东大学学报(工学版), 2016, 46(1): 1-9.
[7] 熊冰妍, 王国胤, 邓维斌. 分级式代价敏感决策树及其在手机换机预测中的应用[J]. 山东大学学报(工学版), 2015, 45(5): 36-42.
[8] 秦峰华, 胡红春, 刘兆琦. 基于产品流通特性的农产品供应链协调研究[J]. 山东大学学报(工学版), 2015, 45(3): 43-47.
[9] 周哲, 商琳. 一种基于动态词典和三支决策的情感分析方法[J]. 山东大学学报(工学版), 2015, 45(1): 19-23.
[10] 刘晶, 裴峥, 周斌. 一种基于等价关系的模糊多属性语言决策方法[J]. 山东大学学报(工学版), 2014, 44(4): 9-15.
[11] 姜学蕾, 张波, 韩学山. 基于模糊马尔科夫过程的电力设备状态维修优化[J]. 山东大学学报(工学版), 2014, 44(4): 90-94.
[12] 潘盼1,王熙照2,翟俊海2. 基于有序决策树的改进归纳算法[J]. 山东大学学报(工学版), 2014, 44(1): 41-44.
[13] 付仲良,周凡,逯跃锋. 基于GIS技术的电网应急态势标绘[J]. 山东大学学报(工学版), 2013, 43(4): 1-6.
[14] 许春耀1,2, 陈明志3*, 余轮1. 适应用户需求变化的前摄推荐模型[J]. 山东大学学报(工学版), 2013, 43(3): 1-6.
[15] 晏力,阮艳丽,裴峥*. 语言值区间二元组能量平均算子及其应用[J]. 山东大学学报(工学版), 2013, 43(1): 115-122.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2018 《山东大学学报(工学版)》编辑部　
地址: 济南市山大南路27号（250100）　 电话: 0531-88366735　 E-mail: xbgxb@sdu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发