国网河南省电力公司洛阳供电公司，河南 洛阳 471000
上海电力大学电气工程学院，上海 200090
收稿：2025-12-01，
修回：2025-12-22，
纸质出版：2026-06-25
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王冰, 周燕, 朱莉莉, 等. 基于主动调控的配电网分布式电源承载力提升方法研究[J]. 电力电容器与无功补偿, 2026,47(3):44-56.
WANG Bing, ZHOU Yan, ZHU Lili, et al. Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 44-56.
王冰, 周燕, 朱莉莉, 等. 基于主动调控的配电网分布式电源承载力提升方法研究[J]. 电力电容器与无功补偿, 2026,47(3):44-56. DOI： 10.14044/j.1674-1757.pcrpc.2026.03.005.
WANG Bing, ZHOU Yan, ZHU Lili, et al. Research on Enhancement Methods for Distributed Generation Carring Capacity in Distribution Networks Based on Active Regulation[J]. Power Capacitor & Reactive Power Compensation, 2026, 47(3): 44-56. DOI： 10.14044/j.1674-1757.pcrpc.2026.03.005.
随着分布式电源在配电网中渗透率日益增高及各种自动化技术不断发展，配电网的主动调控技术也日渐成熟。为了进一步增大分布式电源接入容量，文章提出一种基于无功补偿装置和逆变器协同主动调控的配电网分布式电源承载力提升方法。采用Weibull分布、Beta分布分别刻画风电、光伏出力的随机特性，结合蒙特卡洛模拟与K-means聚类生成典型源-荷场景；构建逆变器电压-无功下垂控制与无功补偿装置的九区图协同调控机制，实现就地快速响应与连续优化的互补配合；建立多目标机会约束规划模型，协同优化分布式电源的接入容量与系统运行成本，采用改进的NSGA-Ⅱ算法与信息熵模糊综合评价法筛选出最优规划方案。最后，对改进的IEEE 33节点配电网进行仿真，结果表明：所提协同调控方法可有效提高配电网对分布式电源的承载力，在故障场景下仍可有效弥补承载力损失；在规划分析中，可根据电网的实际情况确定机会约束条件的置信水平值，为新能源和配电网协同规划提供技术支撑。
As the penetration rate of distributed generation in distribution networks continues to increase and various automation technologies keep evolving，the active regulation technology of distribution networks has also become increasingly mature. To further increase the carrying capacity of distributed generation，in this paper a method for enhancing the distributed generation carrying capacity in distribution networks based on coordinated active regulation of reactive power compensation devics and inverters is proposed. The Weibull and Beta distributions are adopted to respectively characterize the stochastic nature of wind and photovoltaic（PV）power outputs，and typical source-load scenarios are generated by combining Monte Carlo simulation with K-means clustering. A coordinated control mechanism integrating inverter voltage-reactive power（volt-var）droop control and a nine-zone diagram strategy for reactive power compensation devices is constructed so to achieve the complementary coordination of rapid local response and continuous optimization. Furthermore，a multi-objective chance-constrained programming model is set up to co-optimize the distributed generation carrying capacity and system operating costs. The Non-dominated Sorting Genetic Algorithm II（NSGA-Ⅱ）and an information entropy-based fuzzy comprehensive evaluation method are used to screen the optimal planning scheme. Finally，the modified IEEE 33-bus distribution system is simulated. The results show that the proposed coordinated regulation approach can effectively increase the distributed generation carrying capacity and successfully mitigate capacity loss even under fault conditions. In the planning analysis，the confidence level of the chance constraints can be determined in accordance with the actual grid conditions of the power grid，providing technical support for the collaborative planning of renewable energy and distribution networks.
牟晓明,李卫星.基于节点电压强弱性辨识的风电接纳能力评估[J].电力自动化设备,2015,35(9):130-135.
MU Xiaoming,LI Weixing. Wind power accommodation capability evaluation based on bus voltage strength index identification[J]. Electric Power Automation Equipment, 2015,35(9):130-135.
HASHEMI S,ØSTERGAARD J,DEGNER T,et al. Efficient control of active transformers for increasing the PV hosting capacity of LV grids[J]. IEEE Transactions on Industrial Informatics,2017,13(1):270-277.
CHEN Lijuan,DENG Zhenli,XU Xiaohui. Two-stage dynamic reactive power dispatch strategy in distribution network considering the reactive power regulation of distributed generations[J]. IEEE Transactions on Power Systems, 2019,34(2):1021-1032.
ZIEGLER M S,MUELLER J M,PEREIRA G D,et al. Storage requirements and costs of shaping renewable energy toward grid decarbonization[J]. Joule,2019,3(9):2134-2153.
董雷,明捷,于汀,等.分布式电源高渗透率交直流主动配电网运行控制策略[J].电力建设,2016,37(5):57-62.
DONG Lei,MING Jie,YU Ting,et al. AC/DC active power distribution network operation control strategy of distributed generation with high permeability[J]. Electric Power Construction,2016,37(5):57-62.
王俊,肖辉,陈湘元,等.谐振接地配电网单相接地故障保护复合启动及选线方法[J].电瓷避雷器,2025(2):98-108.
WANG Jun,XIAO Hui,CHEN Xiangyuan,et al. Single-phase fault protection compound launch of resonant ground distribution grid and line selection method[J]. Insulators and Surge Arresters,2025(2):98-108.
SANTOS S F,FITIWI D Z,SHAFIE-KHAH M,et al. New multistage and stochastic mathematical model for maximizing RES hosting capacity—Part I:problem formulation[J]. IEEE Transactions on Sustainable Energy,2017,8(1):304-319.
SANTOS S F,FITIWI D Z,SHAFIE-KHAH M,et al. New Multi-stage and stochastic mathematical model for maximizing RES hosting capacity—Part II:numerical results[J]. IEEE Transactions on Sustainable Energy,2017,8(1):320-330.
HASHEMI S,ØSTERGAARD J. Efficient control of energy storage for increasing the PV hosting capacity of LV grids[J]. IEEE Transactions on Smart Grid,2018,9(3):2295-2303.
JAYASEKARA N ,MASOUM M A S ,WOLFS P J. Optimal operation of distributed energy storage systems to improve distribution network load and generation hosting capability[J]. IEEE Transactions on Sustainable Energy, 2016,7(1):250-261.
王洪坤,王守相,潘志新,等.含高渗透分布式电源配电网灵活性提升优化调度方法[J]. 电力系统自动化, 2018,42(15):86-93.
WANG Hongkun,WANG Shouxiang,PAN Zhixin,et al. Optimized dispatching method for flexibility improvement of distribution network with high-penetration distributed generation[J]. Automation of Electric Power Systems,2018, 42(15):86-93.
赵美超.主动配电网中计及时序性与相关性的分布式电源并网规划研究[D].秦皇岛:燕山大学,2018.
WONG P,KALAM A,BARR R. Modelling and analysis of practical options to improve the hosting capacity of low voltage networks for embedded photo-voltaic generation[J]. IET Renewable Power Generation,2017,11(5):625-632.
WANG Shouxiang,CHEN Sijia,GE Leijiao,et al. Distributed generation hosting capacity evaluation for distribution systems considering the robust optimal operation of OLTC andSVC[J]. IEEE Transactions on Sustainable Energy, 2016,7(3):1111-1123.
ASTERO P,SÖDER L. Improving PV dynamic hosting capacity using adaptive controller for STATCOMs[J]. IEEE Transactions on Energy Conversion,2019,34(1):415-425.
YAO Yiyun,DING Fei,HOROWITZ K,et al. Coordinated inverter control to increase dynamic PV hosting capacity:a real-time optimal power flow approach[J]. IEEE Systems Journal,2022,16(2):1933-1944.
王守相,王瀚樟,赵倩宇,等.面向配电网光伏接纳能力提升的分时电价优化方法[J].电力系统自动化,2023, 47(10):38-46.
WANG Shouxiang,WANG Hanzhang,ZHAO Qianyu,et al. Optimization method of time-of-use electricity price for improving photovoltaic hosting capacity of distribution network[J]. Automation of Electric Power Systems,2023, 47(10):38-46.
丁明,刘盛.基于遗传算法的多个光伏电源极限功率计算[J].电网技术,2013,37(4):922-926.
DING Ming,LIU Sheng. Calculation of maximum penetration level of multi PV generation systems based on genetic algorithm[J]. Power System Technology,2013,37(4):922-926.
AL KAABI S S,ZEINELDIN H H,KHADKIKAR V. Planning active distribution networks considering multi-DG configurations[J]. IEEE Transactions on Power Systems, 2014,29(2):785-793.
ESSALLAH S,KHEDHER A. Optimization of distribution system operation by network reconfiguration and DG integration using MPSO algorithm[J]. Renewable Energy Focus,2020,34:37-46.
CAPITANESCU F,OCHOA L F,MARGOSSIAN H,et al. Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems[J]. IEEE Transactions on Power Systems, 2015,30(1):346-356.
艾欣,刘晓.基于需求响应的风电消纳机会约束模型研究[J].华北电力大学学报(自然科学版),2011,38(3):17-22.
AI Xin,LIU Xiao. Chance constrained model for wind power usage based on demand response[J]. Journal of North China Electric Power University(Natural Science Edition), 2011,38(3):17-22.
CHEN Xin,WU Wenchuan,ZHANG Boming. Robust capacity assessment of distributed generation in unbalanced distribution networks incorporating ANM techniques[J]. IEEE Transactions on Sustainable Energy,2018,9(2):651-663.
ALKAABI S S,KHADKIKAR V,ZEINELDIN H H. Incorporating PV inverter control schemes for planning active distribution networks[J]. IEEE Transactions on Sustainable Energy,2015,6(4):1224-1233.
SIANO P,CHEN P,CHEN Z,et al. Evaluating maximum wind energy exploitation in active distribution networks[J]. IET Generation Transmission&Distribution,2010,4(5):598-608.
OCHOA L F,DENT C J,HARRISON G P. Distribution network capacity assessment : variable DG and active networks[J]. IEEE Transactions on Power Systems,2010, 25(1):87-95.
陈全超.分布式光伏并网逆变器无功补偿技术的设计与应用研究[J].自动化应用,2025,66(21):98-100.
CHEN Quanchao. Research on design and application of reactive power compensation technology for distributed photovoltaic grid-connected inverters[J]. Automation Application,2025,66(21):98-100.
王海云,陈茜,张琳钰,等.基于电压分区权重自适应的光伏逆变器和磁控电抗器的配电网无功电压协调控制[J].电力科学与技术学报,2025,40(6):136-146.
WANG Haiyun,CHEN Qian,ZHANG Linyu,et al. Coor-dinated reactive voltage control of distribution network with photovoltaic inverter and magnetically controlled reactor based on adaptive voltage partition weights[J]. Journal of Electric Power Science and Technology,2025,40(6):136-146.
李黄强,赵发金,舒征宇,等.考虑多种调控手段的分布式光伏承载能力提升优化模型[J].电力需求侧管理, 2025,27(2):82-87.
LI Huangqiang,ZHAO Fajin,SHU Zhengyu,et al. Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods[J]. Power Demand Side Management,2025,27(2):82-87.
崔娇,苏冀,张峻诚,等.考虑合环电流约束的新型配电网负荷均衡分布鲁棒优化[J].电测与仪表,2026,63(1):123-131. CUI Jiao,SU Ji,ZHANG Juncheng,et al. Distributionally robust optimization of load balancing in new distribution network considering loop closing current constraints[J]. Electrical Measurement & Instrumentation,2026,63(1):123-131.
邬嘉雨,杨祺铭,丁苒苒,等.高比例可再生能源配电网两阶段自适应鲁棒弹性提升策略[J].电力工程技术, 2025,44(6):174-182.
WU Jiayu,YANG Qiming,DING Ranran,et al. Two stage adaptive robust resilience enhancement strategy for distribution network with high penetration of renewable energy[J]. Electric Power Engineering Technology,2025,44 (6):174-182.
王振中,汤赐,周诗卉.基于多场景典型日的配电网光储选址定容[J].电池,2025,55(6):1299-1306.
WANG Zhenzhong,TANG Ci,ZHOU Shihui. Location and capacity determination for photovoltaic storage in distribution networks based on multi scenario typical days[J]. Dianchi(Battery Bimonthly),2025,55(6):1299-1306.
杨再欣,阿敏夫,刘小恺,等.电池储能在电力系统中的应用进展[J].电池,2025,55(6):1418-1423.
YANG Zaixin1,A Minfu1,LIUXiaokai,et al. Location and capacity determination for photovoltaic storage in distribution networks based on multi scenario typical days[J]. Dianchi(Battery Bimonthly),2025,55(6):1418-1423.
葛磊蛟,郑轶文,李小平,等.高比例分布式光伏接入下配电网多类型储能优化配置技术综述[J].浙江电力, 2025,44(5):1-11.
GE Leijiao,ZHENG Yiwen,LI Xiaoping ,et al. A review of optimal allocation technologies for multi-type energy storage in distribution networks with high penetration of DPV[J]. Zhejiang Electric Power,2025,44(5):1-11.
樊安洁,高正平,张文嘉,等.应对多重不确定性的高压交直流混合配电网概率规划方法[J].浙江电力,2025, 44(5):12-22.
FAN Anjie,GAO Zhengping,ZHANG Wenjia ,et al. A probabilistic planning method for hybrid high-voltage AC/DC distribution networks under multi-dimensional uncertainties[J]. Zhejiang Electric Power,,2025,44(5):12-22.
王强强,姚良忠,盛万兴,等.基于机会约束规划的配电网分布式光伏承载力提升方法[J].电力系统自动化,2023,47(18):132-141.
WANG Qiangqiang,YAO Liangzhong,SHENG Wanxing, et al. Enhancement method for distributed photovoltaic hosting capacity of distribution network based on chance-constrained programming[J]. Automation of Electric Power Systems,2023,47(18):132-141.
龚禹生,伍晓丽,吴晋波,等.计及源-荷不确定性的主动配电网光储运行分布鲁棒机会约束优化方法[J].电力系统及其自动化学报,2025,37(2):98-106.
GONG Yusheng,WU Xiaoli,WU Jinbo,et al. Distributionally robust chance-constrained optimization method for operation of photovoltaic and energy storage in active distri-bution network considering source-load uncertainty[J]. Proceedings of theCSU-EPSA,2025,37(2):98-106.
李景丽,王俊诚,张建宾,等.中压配电网小电流接地系统熄弧与选线方法综述[J].电瓷避雷器,2025(4):81-99.
LI Jingli,WANG Juncheng,ZHANG Jianbin,et al. Review of arc extinguishing and fault line selection methods for small current grounding systems in medium voltage distribution networks[J]. Insulators and Surge Arresters,2025(4):81-99.
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