李云鹏,杨秦敏,张志祥,徐石
LI Yunpeng,YANG Qinmin,ZHANG Zhixiang,XU Shi

• 1:浙江大学控制科学与工程学院
• 2:国网浙江省电力有限公司杭州供电有限公司
• 3:杭州电力设备制造有限公司

摘要(Abstract)：

伴随着风能、潮汐能、太阳能、地热能等可再生能源发电技术的显著提升,可再生能源发电在电网中的渗透比例逐步提高。然而,由于可再生能源固有的随机特性和间歇特性在加剧电网频率波动的同时增加了电网的脆弱性,因此其大规模并网受到限制。为改善电网频率弹性,针对超超临界燃煤机组协同控制系统提出了一种预设收敛时间的自适应控制算法,实现了机组宽负荷快速调峰。仿真对比结果验证了机组输出功率在有干扰的情况下能够快速响应调峰指令,电网频率弹性得到有效提升。
With the enhancement of generation technologies of renewables such as wind energy, tidal energy,solar energy and geothermal energy, the penetration ratio of renewable energy power generation in the power grid is increasing. However, the large-scale integration of renewables not only increases grid frequency fluctuation but makes the grid more vulnerable, constraining its large-scale grid integration. To improve the frequency resiliency of the power grid, an adaptive control algorithm with preset convergence time is proposed for the cooperative control system of the ultra-supercritical coal-fired unit to achieve fast wide load regulation of units. The simulation and comparison results show that the output power of the unit can respond to the peak regulation command quickly under interference, and the frequency resiliency of the power grid can be improved effectively.

关键词(KeyWords)： 电网频率弹性提升;超超临界燃煤机组;快速宽负荷调峰;自适应控制
grid frequency resiliency enhancement;ultra-supercritical coal-fired boiler;fast wide load regulation;adaptive control

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（61673347,U1609214,61751205）;; 浙江省重点研发计划项目（2019C01050）

作者(Author): 李云鹏,杨秦敏,张志祥,徐石
LI Yunpeng,YANG Qinmin,ZHANG Zhixiang,XU Shi

DOI: 10.19585/j.zjdl.202012001

参考文献(References)：

• [1]GLOWACKI-DUDKA M.Book review:the third industrial revolution:how lateral power is transforming energy,the economy,and the world[J].Adult Learning,2013,24(1):50-51.
• [2]赵丽敬.电网的弹性建模与评估[D].武汉：华中科技大学，2015.
• [3]郑文棠.刘吉臻院士：新能源电力系统与再电气化[J].南方能源建设，2019,6(3):31.
• [4]钟睿，滕松，梁睿，等.基于复合储能系统的矿区电网频率弹性提升方法[J].电网技术，2019,43(7):2291-2298.
• [5]别朝红，林雁翎，邱爱慈.弹性电网及其恢复力的基本概念与研究展望[J].电力系统自动化，2015,39(22):1-9.
• [6]TON D T,WANG W T P.A more resilient grid:the U.S.department of energy joins with stakeholders in an R&Dplan[J].IEEE Power&Energy Magazine,2015,13(3):26-34.
• [7]PANTELI,MATHAIOS,MANCARELLA,et al.The grid:stronger,bigger,smarter?:presenting a conceptual frame work of power system resilience[J].Power and Energy Magazine,IEEE,2015,13(3):58-66.
• [8]NAGARAJAN H,YAMANGIL E,BENT R,et al.Optimal resilient transmission grid design[C]//Power Systems Computation Conference.IEEE,2016.
• [9]LOPEZ J,RUBIO J E,ALCARAZ C.A resilient architecture for the smart grid[J].IEEE Transactions on Industrial Informatics,2018:1.
• [10]MIN O Y,DUEAS-OSORIO L,XING M.A three-stage resilience analysis framework for urban infrastructure systems[J].Structural Safety,2012,36:23-31.
• [11]OUYANG M,ZHAO L J,HONG L,et al.Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability[J].Reliability Engineering&System Safety,2014,123:38-46.
• [12]OUYANG M,ZHAO L J,PAN Z Z,et al.Comparisons of complex network based models and direct current power flow model to analyze power grid vulnerability under intentional attacks[J].Physica A:Statistical Mechanics and its Applications,2014,403:45-53.
• [13]FARRAJ A,HAMMAD E,KUNDUR D.A cyber-enabled stabilizing control scheme for resilient smart grid systems[J].IEEE Transactions on Smart Grid,2016,7(4):1856-1865.
• [14]COLSON C M,NEHRIR M H,GUNDERSON R W.Distributed multi-agent microgrids:a decentralized approach to resilient power system self-healing[EB/OL].2011.
• [15]梁亮，李普明，刘嘉宁，等.抽水蓄能电站自主调频控制策略研究[J].高电压技术，2015,41(10):3288-3295.
• [16]张迪.提升配电网弹性的微电网技术研究[D].上海：东华大学，2019.
• [17]DELILLE G,FRANCOIS B,MALARANGE G.Dynamic frequency control support by energy storage to reduce the impact of wind and solar generation on isolated power system's inertia[J].IEEE Transactions on Sustainable Energy,2012,3(4):931-939.
• [18]LEE W,XIANG L,SCHOBER R,et al.Direct electricity trading in smart grid:a coalitional game analysis[J].IEEEJournal on Selected Areas in Communications,2014,32(7):1398-1411.
• [19]KANG J W,YU R,HUANG X M,et al.Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains[J].IEEETransactions on Industrial Informatics,2017,13 (6):3154-3164.
• [20]LUO F J,DONG Z Y,LIANG G Q,et al.A distributed electricity trading system in active distribution networks based on multi-agent coalition and blockchain[J].IEEETransactions on Power Systems,2019,34(5):4097-4108.
• [21]TAN W,FANG F,TIAN L,et al.Linear control of a boilerturbine unit:Analysis and design[J].ISA Transactions,2008,47(2):189-197.
• [22]LI S Y,LIU H B,CAI W J,et al.A new coordinated control strategy for boiler-turbine system of coal-fired power plant[J].IEEE Transactions on Control Systems Technology,2005,13(6):943-954.
• [23]SHI Y H,WANG J C,ZHANG Y F.Sliding mode predictive control of main steam pressure in coal-fired power plant boiler[J].Chinese Journal of Chemical Engineering,2012,20(6):1107-1112.
• [24]YU T,CHAN K W,TONG J P,et al.Coordinated robust nonlinear boiler-turbine-generator control systems via approximate dynamic feedback linearization[J].Journal of Process Control,2010,20(4):365-374.
• [25]MATHIYALAGAN K,PARK J H,SAKTHIVEL R.New results on passivity-based H∞control for networked cascade control systems with application to power plant boiler-turbine system[J].Nonlinear Analysis:Hybrid Systems,2015,17:56-69.
• [26]AWRYCZUK M.Nonlinear predictive control of a boiler-turbine unit:a state-space approach with successive on-line model linearisation and quadratic optimisation[J].ISA Transactions,2017,67:476-495.
• [27]TIAN Z,YUAN J Q,XU L,et al.Model-based adaptive sliding mode control of the subcritical boiler-turbine sys tem with uncertainties[J].ISA Transactions,2018,79:161-171.
• [28]LIU J Z,YAN S,ZENG D L,et al.A dynamic model used for controller design of a coal fired once-through boilerturbine unit[J].Energy,2015,93:2069-2078.
• [29]SONG Y D,WANG Y J,HOLLOWAY J,et al.Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time[J].Automatica,2017,83:243-251.
• [30]FAN B,WANG C,YANG Q M,et al.Performance guaranteed control of flywheel energy storage system for pulsed power load accommodation[J].IEEE Transactions on Power Systems,2018,33(4):3994-4004.
• [31]文贤馗，张世海，邓彤天，等.大容量电力储能调峰调频性能综述[J].发电技术，2018,39(6):487-492.
• [32]张祖平，陈麒宇，杨秀媛，等.大容量直流充电桩集群的调峰研究[J].发电技术，2019,40(1):11-16.