智能微网能源管理及其控制策略研究综述
A Review of Smart Microgrid Energy Management and Control Strategy
DOI: 10.12677/SG.2021.113024, PDF,  被引量   
作者: 刘 斌, 冯宜伟：兰州理工大学，电气工程与信息工程学院，甘肃 兰州
关键词: 智能微网；能源管理系统；可再生能源；优化调度；Smart Microgrid； Energy Management System； Renewable Energy； Optimal Operation
摘要: 随着智能微网的快速发展，对于多种能源的智能、安全、可靠和协调地优化利用变得至关重要。为此，概述了智能微网能源管理系统的研究现状，分析了智能微网中分布式电源和储能系统存在的问题：如不确定性、多种能源的优化调度、经济可持续安全性，同时对智能微网能源管理系统的决策策略及其求解方法进行了分类比较，分析了各类优化算法的特点、性能和适用范围。最后，对智能微网能源管理系统未来的发展趋势和应用前景进行了展望。
Abstract: With the rapid development of smart microgrid, it is very important for the intelligent, safe, reliable and coordinated optimal utilization of various energy sources. To this end, this paper summarizes the research status quo of smart microgrid energy management system, and analyzes the problems of distributed power supply and energy storage system in smart microgrid, such as uncertainty, a variety of energy optimization scheduling, sustainable economic security. At the same time, decision strategy of smart microgrid energy management system and its solving methods are compared, and the characteristics, performance and application range of various optimization algorithms are analyzed. Finally, the future development trend and application prospect of smart microgrid energy management system are prospected.
文章引用：刘斌, 冯宜伟. 智能微网能源管理及其控制策略研究综述[J]. 智能电网, 2021, 11(3): 259-271. https://doi.org/10.12677/SG.2021.113024

参考文献

[1] Torbaghan, S.S, Blaauwbroek, N., Kuiken, D., Gibescu, M., Hajighasemi, M., Nguyen, P., et al. (2018) A Market-Based Framework for Demand Side Flexibility Scheduling and Dispatching. Sustainable Energy Grids & Netwworks, 14, 47-61.
[Google Scholar] [CrossRef] 
[2] Farid, K., Reza, I., Nikos, H. and Dimeas, A. (2008) Microgrids Management. IEEE Power and Energy Magazine, 6, 54-65.
[Google Scholar] [CrossRef] 
[3] 吴雄, 王秀丽, 刘世民, 祝振鹏, 刘春阳, 段杰, 等. 微电网能量管理系统研究综述[J]. 电力自动化设备, 2014, 34(10): 7-14.
[4] Katiraei, F., Abbey, C., Tang, S. and Gauthie, M. (2008) Planned Islanding on Rural Feeders-Utility Perspective. 2008 IEEE Power and Energy Society General Meeting, Pittsburgh, 20-24 July 2008, 1-6.
[Google Scholar] [CrossRef] 
[5] Lasseter, R.H., Eto, J.H., Schenkman, B., Stevens, J., Vollkommer, H., Klapp, D., Linton, E., Hurtado, H. and Roy, J. (2011) CERTS Microgrid Laboratory Test Bed. IEEE Transactions on Power Delivery, 26, 325-332.
[Google Scholar] [CrossRef] 
[6] Loix, T. and Leuven, K.U. (2009) The First Micro Grid in the Netherlands. Bronsbergen, Netherlands.
[7] Bossi, C., Degner, T. and Tselepis, S. (2006) Distributed Generation with High Penetration of Renewable Energy Sources. Dispower, Germany.
[8] Barnes, M., Dimeas, A., Engler, A., Fitzer, C., Hatziargyriou, N., Jones, C., et al. (2005) Microgrid Laboratory Facilities. 2005 IEEE International Conference on Future Power Systems, Amsterdam, 18 November 2005, 1-6.
[Google Scholar] [CrossRef] 
[9] Morozumi, S., Nakama, H. and Inoue, N. (2008) Demonstration Projects for Grid-Connection Issues in Japan. e & i Elektrotechnik und Informationstechnik, 125, 426-431.
[Google Scholar] [CrossRef] 
[10] Meiqin, M., Ming, D., Su, J., Chang, L., Min, S. and Zhang, G. (2008) Test Bed for Micro Grid with Multi-Energy Generators. 2008 CCECE Canadian Conference on Electrical and Computer Engineering, Niagara Falls, 4-7 May 2008, 637-640.
[Google Scholar] [CrossRef] 
[11] 赵波, 张雪松, 李鹏, 汪科, 陈健, 李逢兵. 储能系统在东福山岛独立型微电网中的优化设计和应用[J]. 电力系统自动化, 2013, 37(1): 161-167.
[12] IEC (International Electrotechnical Commission) (2005) IEC 61970. Energy Management System Application Program Interface (EMS-API). International Electrotechnical Commission, Geneva.
[13] Chen, C., Duan, S., Cai, T., Liu, B. and Hu, G. (2011) Smart Energy Management System for Optimalmicrogrid Economic Operation. IET Renewable Power Generation, 5, 258-267.
[Google Scholar] [CrossRef] 
[14] Roslan, M.F., Hannan, M.A., Ker, P.J. and Uddin, M.N. (2019) Microgrid Control Methods toward Achieving Sustainable Energy Management. Applied Energy, 240, 583-607.
[Google Scholar] [CrossRef] 
[15] 唐西胜, 齐智平. 独立光伏系统中超级电容器蓄电池有源混合储能方案的研究[J]. 电工电能新技术, 2006, 25(3), 37-41+67.
[16] Spyker, R.L. and Nelms, R.M. (1996) Double Layer Capacitor/DC-DCconverter System Applied to Constant Power Loads. Proceedings of the 1996 31st Intersociety Energy Conversion Engineering Conference, Washington DC, 11-16 August 1996, 255-259.
[17] Wang, J., Wang, M., Li, H., Qin, W. and Wang, L. (2018) Energy Management Strategy for Microgrid Including Hybrid Energy Storage. 2018 Asian Conference on Energy, Power and Transportation Electrification, Singapore, 30 October-2 November 2018, 1-6.
[Google Scholar] [CrossRef] 
[18] Vechiu, I., Etxeberria, A., Camblong, H. and Tabart, Q. (2014) Control of a Microgrid-Connected Hybrid Energy Storage System. 2014 International Conference on Renewable Energy Research and Application, Milwaukee, 19-22 October 2014, 412-417.
[Google Scholar] [CrossRef] 
[19] 徐奉友, 李朝锋, 陶学军, 邓清闯, 秦天. 一种基于自适应控制算法的光伏发电站自动发电控制系统[J]. 电力系统保护与控制, 2014, 42(14), 128-131.
[20] 张曦, 康重庆, 张宁, 黄越辉, 刘纯, 徐健飞. 太阳能光伏发电的中长期随机特性分析[J]. 电力系统自动化, 2014, 38(6): 6-13.
[21] 于晗, 钟志勇, 黄杰波, 张建华. 考虑负荷和风电出力不确定性的输电系统机会约束规划[J]. 电力系统自动化, 2009, 33(2): 20-24.
[22] 马喜平, 谢永涛, 董开松, 贾嵘. 多能互补微电网的能量管理研究[J]. 高压电器, 2015, 51(6): 108-114.
[23] 熊焰, 吴杰康, 王强, 毛晓明. 风光气储互补发电的冷热电联供优化协调模型及求解方法[J]. 中国电机工程学报, 2015, 35(14): 3616-3625.
[24] Marzband, M., Ghadimi, M., Sumper, A. and Domínguez-García, J.L. (2014) Experimental Validation of a Real-Timeenergy Management System Using Multi-Period Gravitational Search Algorithm for Microgrids in Islandedmode. Applied Energy, 128, 164-174.
[Google Scholar] [CrossRef] 
[25] Aghajani, G.R., Shayanfar, H.A. and Shayeghi, H. (2015) Presenting a Multi-Objective Generation Scheduling Model For Pricing Demand Response Rate in Micro-Grid Energy Management. Energy Conversion and Management, 106, 308-321.
[Google Scholar] [CrossRef] 
[26] Talari, S., Yazdaninejad, M. and Haghifam, M.R. (2015) Stochastic-Based Scheduling of the Microgrid Operation Including Wind Turbines, Photovoltaic Cells, Energy Storages and Responsive Loads. IET Generation Transmission & Distribution, 9, 1498-1509.
[Google Scholar] [CrossRef] 
[27] Comodi, G., Giantomassi, A., Severini, M., Squartini, S., Ferracuti, F., Fonti, A., et al. (2015) Multi-Apartment Residential Microgrid with Electrical and Thermal Storage Devices: Experimental Analysis and Simulation of Energy Management Strategies. Applied Energy, 137, 854-566.
[Google Scholar] [CrossRef] 
[28] Wang, B., Manandhar, U., Zhang, X., Gooi, H.B. and Ukil, A. (2019) Deadbeat Control for Hybridenergy Storage Systems in DC Microgrids. IEEE Transactions on Sustainable Energy, 10, 1867-1877.
[Google Scholar] [CrossRef] 
[29] Eseye, A.T., Lehtonen, M., Tukia, T., Uimonen, S. and John Millar, R. (2019) Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries. IEEE Access, 7, 106092-106101.
[Google Scholar] [CrossRef] 
[30] Novickij, I. and Joós, G. (2019) Model Predictive Control Based Approach for Microgrid Energy Management. 2019 IEEE Canadian Conference of Electrical and Computer Engineering, Edmonton, 5-8 May 2019, 1-4.
[Google Scholar] [CrossRef] 
[31] Elsied, M., Oukaour, A., Youssef, T., Gualous, H. and Mohammed, O. (2016) An Advanced Real Time Energy Management System for Microgrids. Energy, 114, 742-752.
[Google Scholar] [CrossRef] 
[32] Askarzadeh, A. (2017) A Memory-Based Genetic Algorithm for Optimization of Power Generation in a Microgrid. IEEE Transactions on Sustainable Energy, 9, 1081-1089.
[Google Scholar] [CrossRef] 
[33] Radosavljević, J., Jevtić, M. and Klimenta, D. (2016) Energy and Operation Management of a Microgrid Using Particle Swarm Optimization. Engineering Optimization, 48, 811-830.
[Google Scholar] [CrossRef] 
[34] Tsioumas, E., Jabbour, N., Koseoglou, M., Sfetkos, I. and Mademlis, C. (2018) Enhanced Effectiveness in the Appliance Scheduling and Energy Storage Control by utilizing the Particle Swarm Technique for a Nearly Zero Energy Building. 2018 IEEE 4th Southern Power Electronics Conference, Singapore, 10-13 December 2018, 1-7.
[Google Scholar] [CrossRef] 
[35] Pooja, R.A. and Tanuja, N.D. (2018) Energy Management in Microgrid by Using Classical Method and Particle Swarm Optimization Method. 2018 International Conference on Advances in Communication and Computing Technology, Sangamner, 8-9 February 2018, 528-533.
[36] Marzband, M., Azarinejadian, F., Savaghebi, M. and Guerrero, J.M. (2017) An Optimal Energy Management System for Islanded Microgrids Based on Multiperiod Artificial Beecolony Combined with Markov Chain. IEEE Systems Journal, 11, 1712-1722.
[Google Scholar] [CrossRef] 
[37] Arcos-Aviles, D., Pascual, J., Guinjoan, F., Marroyo, L., Sanchis, P. and Marietta, M.P. (2017) Lowcomplexity Energy Management Strategy for Grid Profile Smoothing of a Residential Grid-Connected Microgrid Using Generation and Demand Forecasting. Applied Energy, 205, 69-84.
[Google Scholar] [CrossRef] 
[38] Ahmed, A., Mostafa, S., Zhen, G., Suh, S. and Perera, V.D. (2018) An Online Smart Microgrid Energy Monitoring and Management System. 2018 IEEE International Conference on Smart Energy Grid Engineering, Oshawa, 12-15 August 2018, 58-61.
[Google Scholar] [CrossRef] 
[39] Sun, C., Lei, M., Xu, X., Wang, Y. and Dou, W. (2020) A Hybrid AC/DC Microgrid Energy Management Strategy Based on Neural Network. 2020 15th IEEE Conference on Industrial Electronics and Applications, Kristiansand, 9-13 November 2020, 1955-1961.
[Google Scholar] [CrossRef] 
[40] Ma, L., Liu, N., Zhang, J., Tushar, W. and Yuen, C. (2016) Energy Management for Joint Operation of CHP and PV Prosumers Inside a Grid-Connected Microgrid: A Game Theoretic Approach. IEEE Transactions on Industrial Informatics, 12, 1930-1942.
[Google Scholar] [CrossRef] 
[41] Jiang, W., Yang, K., Yang, J., Mao, R., Xue, N. and Zhuo, Z. (2019) A Multiagent-Based Hierarchical Energy Management Strategy for Maximization of Renewable Energy Consumption in Interconnected Multi-Microgrids. IEEE Access, 7, 169931-169945.
[Google Scholar] [CrossRef] 
[42] Farzin, H., Fotuhi-Firuzabad, M. and Moeini-Aghtaie, M. (2017) Stochastic Energy Management of Microgrids during Unscheduled Islanding Period. IEEE Transactions on Industrial Informatics, 13, 1079-1087.
[Google Scholar] [CrossRef] 
[43] Syamasree, B.R. and Debasish, B. (2020) Fuzzy Controlled Demand Response Energy Management for Economic Microgrid Planning. 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, Cochin, 2-4 January 2020, 1-6.
[44] Hou, N., Li, Y.W. and Ding, L. (2020) Communicationless Power Management Strategy for the Multiple DAB-Based Energy Storage System in Islanded DC Microgrid. 2020 IEEE Energy Conversion Congress and Exposition, Detroit, 11-15 October 2020, 4656-4661.
[Google Scholar] [CrossRef] 
[45] Zeng, J., Wang, Q., Liu, J., Chen, J. and Chen, H. (2019) A Potential Game Approach to Distributed Operational Optimization for Microgrid Energy Management With Renewable Energy and Demand Response. IEEE Transactions on Industrial Electronics, 66, 4479-4489.
[Google Scholar] [CrossRef] 

为你推荐