<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">NPS</journal-id><journal-title-group><journal-title>Carbon Neutralization and New Power Systems</journal-title></journal-title-group><issn>2995-4436</issn><eissn>2995-4479</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/NPS.2025040001</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>考虑城市电网弹性裕度的柔性直流控制策略</title><url>https://artdesignp.com/journal/NPS/3/4/10.61369/NPS.2025040001</url><author>章锐,宋秉俊,孙正龙,王喜兴,李振新</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>4</issue><history><date date-type="pub"><published-time>2025-12-20</published-time></date></history><abstract>随着城市电网柔性直流技术的不断发展，柔性负荷的逐步增多为城市电网运行提供了充足的可调资源。为充分利用柔性直流和柔性负荷的调节能力，提出考虑城市电网弹性裕度的柔性直流控制策略。首先，分析了城市电网弹性以及柔性直流协调优化现状，提出基于柔性直流提升城市电网调节能力的思路；然后，给出了城市电网内部可控资源弹性模型，以充分挖掘内部资源的可调能力；最后，提出柔性直流和可调资源协同控制策略，其目标是充分发挥二者优势，进一步提升城市电网整体调节能力，为新型电力系统建设提供支撑。最后，用仿真算例验证了所提方法的有效性。</abstract><keywords>城市电网,弹性裕度,柔性直流,控制策略</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]章锐，于继来．新型城市电网调控体系架构及关键技术[J]．中国电机工程学报，2024，44 (S1)：97-113．
ZHANG R，YU J L．New urban power grid dispatching and control architecture and key technologies[J]．Proceedings of the CSEE，2024，44 (S1)：97-113．
[2]ZHANG R，YU J．External tie line power fluctuations smoothing strategy of new urban power grid[J]．International Journal of Electrical Power &amp;amp; Energy Systems，2023，153：109289．
[3]ZHANG R，YU J．An orderly power utilization method for new urban power grids facing severe electricity shortages[J]．Journal of Modern Power Systems and Clean Energy，2024，12(6)：1710-1723．
[4]董宸，吴强，黄河，等．基于免疫算法的电网拓扑结构识别[J]．发电技术，2023，44 (1)：125-135．
DONG C，WU Q，HUANG H，et al．Power grid topology identification based on immune algorithm[J]．Power Generation Technology，2023，44 (1)：125-135．
[5]刘洪波，刘珅诚，盖雪扬，等．高比例新能源接入的主动配电网规划综述[J]．发电技术，2024，45(1)：151-161．LIU H B，LIU S C，GAI X Y，et al．Overview of active distribution network planning with high proportion of new energy access[J]．Power Generation Technology，2024，45(1)：151-161．
[6]ZHANG R，YU J L，TANG Y，et al．Capacity evaluation of central air conditioning load participating in peak shaving of renewable dominated power systems[J]．IET Generation，Transmission &amp;amp; Distribution，2023，17(1)：181-199．
[7]ZHANG R，YU J．New urban power grid flexible load dispatching architecture and key technologies[J]．Frontiers in Energy Research，2023，11：1168768．
[8]章锐，于继来．电动公交车负荷参与新型城网调峰的能力评估[J]．中国电机工程学报，2022，42(S1)：82-94．
[9]ZHANG R，YU J．Capacity evaluation of electric bus load participating in peak shaving of new urban power grid[J]．Proceedings of the CSEE，2022，42(S1)：82-94．贾俊，范炜豪，吕志鹏，等．用于电动汽车集群并网的直流变压器启动研究[J]．发电技术，2023，44(6)：875-882．
JIA J，FAN W H，LV Z P，et al．Research on startup of DC transformer for electric vehicle cluster grid connection[J]．Power Generation Technology，2023，44(6)：875-882．
[10]徐睿婕，李智，赵凤伟，等．考虑氢能多元利用与绿证-碳交易机制的虚拟电厂优化调度方法[J]．碳中和与新型电力系统，2025，3(1)：12-22．
XU R J，LI Z，ZHAO F W，et al．Optimal scheduling method for virtual power plant considering multiple utilization of hydrogen energy and green certificate-carbon trading mechanisms[J]．Carbon Neutralization and New Power Systems，2025，3(1)：12-22．
[11]郑志文，王明晓，曹春兰，等．基于改进的RBF 神经网络的光储充一体化建筑优化模型的研究[J]．碳中和与新型电力系统，2023，1(1)：8-13．
ZHENG Z W，WANG M X，CAO C L，et al．Research on optimization model of integrated photovoltaic storage and charging building based on improved RBF neural network[J]．Carbon Neutralization and New Power Systems，2023，1(1)：8-13．
[12]MAHDAVI N，BRASLAVSKY J H．Modelling and control of ensembles of variable-speed air conditioning loads for demand response[J]．IEEE Transactions on Smart Grid，2020，11(5)：4249-4260．
[13]SONG M，GAO C，YAN H，et al．Thermal battery modeling of inverter air conditioning for demand response[J]．IEEE Transactions on Smart Grid，2017，9(6)：5522-5534．
[14]BAHRAMI S，CHEN Y C，WONG V W S．Deep reinforcement learning for demand response in distribution networks[J]．IEEE Transactions on Smart Grid，2020，12(2)：1496-1506．
[15]覃振坤，李琦芬，苏郭．考虑不同策略的电-气-热-冷综合能源系统多目标优化调度研究[J]．碳中和与新型电力系统，2023，1(1)：68-73．
QIN Z K，LI Q F，GUO S．Research on multi-objective optimal scheduling of electric-gas-heat-cooling integrated energy system considering different strategies[J]．Carbon Neutralization and New Power Systems，2023，1(1)：68-73．
[16]VAHEDIPOUR-DAHRAIE M，RASHIDIZADEH-KERMANI H，SHAFIE-KHAH M，et al．Risk-averse optimal energy and reserve scheduling for virtual power plants incorporating demand response programs[J]．IEEE Transactions on Smart Grid，2020，12(2)：1405-1415．
[17]COFFMAN A R，GUO Z，BAROOAH P．Characterizing capacity of flexible loads for providing grid support[J]．IEEE Transactions on Power Systems，2020，36(3)：2428-2437．
[18]章锐．新型城市电网参调能力评估与不平衡调度问题研究[D]．哈尔滨：哈尔滨工业大学，2024．
ZHANG R．Research on the participation capability assessment and unbalanced dispatching problems in new urban power grid[D]．Harbin：&amp;nbsp;Harbin Institute of Technology，2024．
[19]LIU J，HUANG X，LI Z．Multi-time scale optimal power flow strategy for medium-voltage DC power grid considering different operation modes[J]．Journal of Modern Power Systems and Clean Energy，2019，8(1)：46-54．
[20]SUN K，XIAO H，PAN J，et al．VSC-HVDC interties for urban power grid enhancement[J]．IEEE Transactions on Power Systems，2021，36(5)：4745-4753．
[21]PAN J Q，NUQUI R，QI L S，et al．Urban power grid enhancement and modernization with VSC-HVDC interties[C]//2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&amp;amp;D)．Chicago，IL，USA ：IEEE，2020：1-5．
[22]ZHANG L，LIANG J，TANG W，et al．Converting AC distribution lines to DC to increase transfer capacities and dg penetration[J]．IEEE Transactions on Smart Grid，2018，10(2)：1477-1487．
[23]XIAO J，YI L，BAI L，et al．Key technologies for flexible interconnection in urban power grid and pilot demonstration[J]．International Transactions on Electrical Energy Systems，2018，28(8)：e2570．
[24]JIANG X，XIAO J，SHE B，et al．Locating and sizing of partition flexible interconnection converter station in large urban power grids[J]．IET Generation，Transmission &amp;amp; Distribution，2019，13(21)：4830-4841．
[25]ZHANG Y，SHOTORBANI A M，WANG L，et al．Distributed voltage regulation and automatic power sharing in multi-terminal HVDC grids[J]．IEEE Transactions on Power Systems，2020，35(5)：3739-3752．
[26]刘洪波，刘珅诚，盖雪扬，等．高比例新能源接入的主动配电网规划综述[J]．发电技术，2024，45(1)：151-161．LIU H B，LIU S C，GAI X Y，et al．Overview of active distribution network planning with high proportion of new energy access[J]．Power Generation Technology，2024，45(1)：151-161．
[27]RAHMAN M H，XU L，YAO L．Protection of large partitioned MTDC networks using dc-dc converters and circuit breakers[J]．Protection Control Modern Power Systems，2016，1(2)：1-9．
[28]ZHANG Y，MENG X，SHOTORBANI A M，et al．Minimization of AC-DC grid transmission loss and DC voltage deviation using adaptive droop control and improved AC-DC power flow algorithm[J]．IEEE Transactions on Power Systems，2020，36(1)：744-756．
[29]ZHANG Y，WANG L，LI W．Autonomous DC line power flow regulation using adaptive droop control in HVDC grid[J]．IEEE Transactions on Power Delivery，2020，36(6)：3550-3560．&amp;nbsp;
[30]CHAUDHURI N R，CHAUDHURI B．Adaptive droop control for effective power sharing in multi-terminal DC (MTDC) grids[J]．IEEE Transactions on Power Systems，2012，28(1)：21-29．
[31]WANG Y Z，WEN W J，WANG C S，et al．Adaptive voltage droop method of multiterminal VSC-HVDC systems for DC voltage deviation and power sharing[J]．IEEE Transactions on Power Delivery，2018，34(1)：169-176．
[32]ZHANG Y，SHOTORBANI A M，WANG L，et al．A combined hierarchical and autonomous DC grid control for proportional power sharing with minimized voltage variation and transmission loss[J]．IEEE Transactions on Power Delivery，2021，37(4)：3213-3224．</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
