Multiple Time Scale Optimal Operation Method of AC/DC Hybrid Microgrid Considering Power Prediction Error

doi:10.3969/j.issn.1000－7229.2016.12.005

Abstract

Abstract: According to the special grid structure and electrical characteristics of AC/DC hybrid microgrid, this paper proposes the multiple time scale optimal operation model of AC/DC hybrid microgrid with considering power prediction error based on two layers of time scale, in order to improve the applicability of the optimal operation of AC/DC hybrid microgrid. Firstly, in hour-period, the day ahead scheduling scheme is formulated through wind, photovoltaic and load prediction curve of next day. Then, in real time 15 minutes-period, an unbalanced power adjustment plan is developed by the detection of unbalanced power errors under the the day ahead scheme, which can maximize the adjustment costs or minimize the adjustment income. Finally, the effectiveness of the proposed method is verified through a numerical example.

Key words: AC/DC hybrid microgrid, optimal operation, multiple time scale, power prediction error, unbalanced power adjustment, imperialist competition algorithm

CLC Number:

TM 734

HUA Haorui, LI Peng. Multiple Time Scale Optimal Operation Method of AC/DC Hybrid Microgrid Considering Power Prediction Error[J]. Electric Power Construction, 2016, 37(12): 40-.

References

［1］LASSETER R H．Microgrids［C］//Proceedings of Power Engineering Society Winter Meeting. New York: IEEE，2002:2-6．

［2］LI J，QI W B． Towards optimal operation of internet data center microgrid［J］． IEEE Transactions on Smart Grid， 2016，PP(99)：1-1．

［3］MOHAMED F A，KOIVO H N．System modelling and online optimal management of microgrid using mesh adaptive direct search ［J］．International Journal of Electrical Power & Energy Systems，2010，32(5)：398-407．

［4］李鹏，张玲，王伟，等．微网技术应用与分析［J］．电力系统自动化，2009，33(20)：109-115．

LI Peng，ZHANG Ling，WANG Wei，et al．Application and analysis of microgrid［J］．Automation of Electric Power Systems，2009，33(20)：109-115．

［5］赵岩，李博嵩，蒋传文．售电侧开放条件下我国需求侧资源参与电力市场的运营机制建议［J］．电力建设，2016，37(3):112-116．

ZHAO Yan，LI Bohao，JIANG Chuanwen．Suggestion on electric market operation mechanism with demand side resource［J］．Electric Power Construction，2016，37(3):112-116．

［6］王成山，孙充勃，李鹏．主动配电网优化技术研究现状及展望［J］．电力建设，2015， 36(1):8-15．

WANG Chengshan，SUN Chongbo，LI Peng． Review and perspective on the optimization of active distribution network［J］． Electric Power Construction， 2015， 36(1) : 8-15．

［7］李鹏，徐伟娜，周泽远，等．基于改进万有引力搜索算法的微网优化运行［J］．中国电机工程学报，2014，34（19）:3073-3079．

LI Peng，XU Weina，ZHOU Zeyuan，et al． Optimal operation of microgrid based on improved gravitational search algorithm ［J］． Proceedings of the CSEE，2014，34（19）：3073-3079．

［8］刘小平，丁明，张颖媛，等．微网系统的动态经济调度［J］．中国电机工程学报，2011，31(31):77-84．

LIU Xiaoping, DING Ming, ZHANG Yingyuan， et al． Dynamic economic dispatch for microgrids ［J］．Proceedings of the CSEE，2011，31(31)：77-84．

［9］童小娇，易国伟，周鹏，等．考虑功率调整优先策略的微网动态经济调度［J］．电网技术， 2015，39(8):2173-2179．

TONG Xiaojiao，YI Guowei，ZHOU Peng，et al．Dynamic economic dispatch in microgrid considering strategy of prior power regulation［J］． Power System Technology， 2015，39(8)：2173-2179．

［10］PARISIO A， RIKOS E， TZAMALIS G， et al．Use of model predictive control for experimental microgrid optimization［J］． Applied Energy， 2014， 115: 37-46．

［11］MOTEVASEL M， SEIFI A R． Expert energy management of a micro-grid considering wind energy uncertainty［J］． Energy Conversion and Management， 2014， 83: 58-72．

［12］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.

［13］殷晓刚，戴冬云，韩云，等．交直流混合微网关键技术研究［J］．高压电器，2012，48(9):43-46．

YIN Xiaogang，DAI Dongyun，HAN Yun，et al．Discussion on key technologies of AC-DC hybrid microgrid［J］．High Voltage Apparatus， 2012，48(9)：43-46．

［14］陈和升，卫志农，孙国强，等．考虑换流器控制特性的交直流混联微电网状态估计［J］．电力建设，2016，37(5):91-99．

CHEN Hesheng，WEI Zhinong，SUN Guoqiang，et al． State estimation of AC/DC hybrid microgrid considering control characteristics of converter［J］． Electric Power Construction， 2016，37(5):91-99．

［15］KAKIGANO H，MIURA Y，ISE T，et al．Basic sensitivity analysis of conversion losses in a DC microgrid［C］//Proceedings of International Conference on Renewable Energy Research and Applications. Nagasaki，Japan:IEEE，2012．77-83.

［16］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.

［17］张金环，安海霞，王永春．基于改进小生境帝国竞争算法的多目标电力系统无功优化［J］．华北电力大学学报(自然科学版)，2014，41(04):41-47．

ZHANG Jinhuan，AN Haixia，WANG Yongchun．Multi-objective reactive power optimization based on improved empire competition algorithm［J］. Journal of North China Electric Power University(Science and Technology),2014，41(04):41-47．

［18］王帅群，敖日格乐，高尚策，等．基于进出口贸易的帝国主义竞争算法［J］．计算机科学，2015，42(5):14-18．

WANG Shuaiqun， AORI Gele， GAO Shangce，et al． Empire competition algorithm based on import and export trade［J］． Computer Science， 2015，42(5):14-18．

［19］翟云峰，易国伟，王亦，等．基于改进帝国竞争算法的微网动态经济调度［J］．电力科学与工程，2015，31(5):34-41．

ZHAI Yunfeng， YI Guowei， WANG Yi， et al． Dynamic economic dispatch in microgrid based on improved empire competition algorithm［J］.Electric Power Science and Engineering , 2015，31(5):34-41．

［20］王成山，孙充勃，彭克，等．微电网交直流混合潮流算法研究［J］．中国电机工程学报，2013，33(4):8-15．

WANG Chengshan，SUN Chongbo，PENG Ke，et al． Study on AC-DC hybrid power flow algorithm for microgrid［J］． Proceedings of CSEE，2013，33( 4) : 8-15．

［21］AMJADY N， KEYNIA F， ZAREIPOUR H． Short-term load forecast of microgrids by a new bilevel prediction strategy［J］． IEEE Transactions on smart grid， 2010， 1(3): 286-294．

[1]	ZHANG Jingwei， HUANG Ningxin， CHEN Baike， JING Zhaoxia. Optimal Operation Strategy for Pumped-Storage Power Station in Energy Market Under Power Market Environment [J]. Electric Power Construction, 2020, 41(4): 45-52.
[2]	GENG Qi， HU Yan， HE Jianzong， ZHOU Yongyan， ZHAO Wei. Optimal Clustering Operation and Analysis of Multi-Microgrid Considering Power Sharing [J]. Electric Power Construction, 2019, 40(12): 86-95.
[3]	GUO Yajuan，CHEN Jinming，HE Hongyu， WU Qianhong，HAN Bei，LI Guojie2. A Review on AC/DC Hybrid Microgrid Key Technology Containing Distributed New Energy [J]. Electric Power Construction, 2017, 38(3): 9-.
[4]	DI Kaili, LI Peng, HUA Haorui. Optimal Operation of AC-DC Hybrid Microgrid Considering Carbon Emission Cost [J]. Electric Power Construction, 2016, 37(7): 12-19.
[5]	DI Kaili, LI Xinming, LI Peng， XU Shaojun, SUN Jian. Optimal Operation of AC/DC Hybrid Microgrid Based on Coevolution Improved Black Hole Algorithm [J]. Electric Power Construction, 2016, 37(10): 1-.
[6]	LI Jinghua，SANG Chuanchuan. Discussion on Optimal Planning and Operation Framework for Integrated Energy System [J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(8): 41-48.
[7]	YU Zhiyong, WAN Shulai, MING Zhiyong, ZHANG Yuan, DENG Ming. Optimal Operation of Complementary Microgrid with Hybrid Wind-Solar-Hydro Power [J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(6): 50-55.