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基于全时序仿真的新型配电网两阶段无功优化配置分析 认领 引用
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作者 李江 黄蔓云 李飒 《广东电力》 北大核心 2026年第5期82-95,共14页
针对高比例分布式新能源的接入给新型配电网安全稳定运行带来的挑战,提出一种两阶段无功优化配置分析模型。首先,综合考虑分布式光伏的有功、无功出力特性,基于全年8760 h潮流计算结果,采用改进Kmeans聚类算法提取潮流断面典型日;然后,... 针对高比例分布式新能源的接入给新型配电网安全稳定运行带来的挑战,提出一种两阶段无功优化配置分析模型。首先,综合考虑分布式光伏的有功、无功出力特性,基于全年8760 h潮流计算结果,采用改进Kmeans聚类算法提取潮流断面典型日;然后,以兼顾配电网运行成本与安全水平为目标,建立两阶段无功优化配置模型,利用DistFlow支路潮流模型,将相互约束的两阶段目标函数转化为混合整数二阶锥规划模型,并调用CPLEX求解器进行求解;最后,结合某地区光伏实测数据与IEEE 33节点系统进行算例验证,并对优化后的各典型日采用相关指标进行量化分析,以对比优化前后的改进效果。结果表明,与常规K-means相比:所提改进算法的戴维斯-博尔丁指数降低约5.6%,轮廓系数提升约6.1%,聚类质量得到提升;经两阶段优化后,4个典型日总网损下降约2.75%,年综合运行成本降低约10.5%。该方法能准确反映配电网在光伏接入下的动态运行特征,可为配电网运行与无功配置优化提供有效支撑。 展开更多
关键词 高比例新能源 改进K-means聚类算法 典型日 两阶段 混合整数二阶锥规划
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Active splitting strategy searching approach based on MISOCP with consideration of power island stability 认领 引用 被引量：6
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作者 Yifan ZHOU Wei HU +1 位作者 Yong MIN Le ZHENG 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2019年第3期475-490,共16页
Active splitting control utilizes real-time decision and system-level splitting to prevent cascading blackouts and to maintain power supply under severe disturbances. Splitting strategy searching(SSS) is one of the mo... Active splitting control utilizes real-time decision and system-level splitting to prevent cascading blackouts and to maintain power supply under severe disturbances. Splitting strategy searching(SSS) is one of the most crucial issues in active splitting control for deciding‘‘where to split’’. SSS determines the splitting surface in real time to properly divide the asynchronous generators into isolated islands with an optimal control effect. In this paper, an SSS approach that focuses on island stability is presented. The proposed SSS approach is designed to ensure a rational stability margin and regulation ability on each island during and after the transient process of system splitting. This method includes the activeeactive power flow feasibility constraints and voltage/angle stability constraints in the steady state as well as the frequencyresponse capability constraints in the transient process. By considering the island stability constraints in the SSS, the proposed approach can avoid the splitting strategies with poor stability performance. Therefore, the major advantage of the proposed approach is that it can ensure better island static and transient stability during and after the splitting control. In addition, the entire model is formulated as a mixed-integer second-order cone programming(MISOCP)model. Thus, it can be rapidly solved by using commercial optimization solvers. Numerical simulations of a realistic provincial power system in central China demonstrate thevalidity of the proposed approach and the necessity of considering the island stability issues. 展开更多
关键词 Splitting strategy searching(SSS) Mixed-integer second-order cone programming(MISOCP) Controlled islanding Static stability margin Transient stability Power system
Two-stage Bidding Strategy with Dispatch Potential of Electric Vehicle Aggregators for Mitigating Three-phase Imbalance 认领 引用 被引量：3
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作者 Chengwei Lou Chen Li +3 位作者 Lu Zhang Wei Tang Jin Yang Jake Cunningham 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2025年第5期1823-1835,共13页
The proliferation of electric vehicles(EVs)introduces transformative opportunities and challenges for the stability of distribution networks.Unregulated EV charging will further exacerbate the inherent three-phase imb... The proliferation of electric vehicles(EVs)introduces transformative opportunities and challenges for the stability of distribution networks.Unregulated EV charging will further exacerbate the inherent three-phase imbalance of the power grid,while regulated EV charging will alleviate such imbalance.To systematically address this challenge,this study proposes a two-stage bidding strategy with dispatch potential of electric vehicle aggregators(EVAs).By constructing a coordinated framework that integrates the day-ahead and real-time markets,the proposed two-stage bidding strategy reconfigures distributed EVA clusters into a controllable dynamic energy storage system,with a particular focus on dynamic compensation for deviations between scheduled and real-time operations.A bilevel Stackelberg game resolves three-phase imbalance by achieving Nash equilibrium for inter-phase balance,with Karush-Kuhn-Tucker(KKT)conditions and mixed-integer secondorder cone programming(MISOCP)ensuring feasible solutions.The proposed coordinated framework is validated with different bidding modes includes independent bidding,full price acceptance,and cooperative bidding modes.The proposed twostage bidding strategy provides an EVA-based coordinated scheduling solution that balances the economic efficiency and phase stability in electricity market. 展开更多
关键词 Electric vehicle(EV) three-phase imbalance EV aggregator Stackelberg game electricity market two-stage bidding mixed-integer second-order cone programming(MISOCP)
Multi-objective Dynamic Reconfiguration for Urban Distribution Network Considering Multi-level Switching Modes 认领 引用 被引量：10
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作者 Hongjun Gao Wang Ma +5 位作者 Yingmeng Xiang Zao Tang Xiandong Xu Hongjin Pan Fan Zhang Junyong Liu 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2022年第5期1241-1255,共15页
The increasing integration of photovoltaic generators(PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban distribution netw... The increasing integration of photovoltaic generators(PVGs) and the uneven economic development in different regions may cause the unbalanced spatial-temporal distribution of load demands in an urban distribution network(UDN). This may lead to undesired consequences, including PVG curtailment, load shedding, and equipment inefficiency, etc. Global dynamic reconfiguration provides a promising method to solve those challenges. However, the power flow transfer capabilities for different kinds of switches are diverse, and the willingness of distribution system operators(DSOs) to select them is also different. In this paper, we formulate a multi-objective dynamic reconfiguration optimization model suitable for multi-level switching modes to minimize the operation cost, load imbalance, and the PVG curtailment. The multi-level switching includes feeder-level switching, transformer-level switching, and substation-level switching. A novel load balancing index is devised to quantify the global load balancing degree at different levels. Then, a stochastic programming model based on selected scenarios is established to address the uncertainties of PVGs and loads. Afterward, the fuzzy c-means(FCMs) clustering is applied to divide the time periods of reconfiguration. Furthermore, the modified binary particle swarm optimization(BPSO)and Cplex solver are combined to solve the proposed mixed-integer second-order cone programming(MISOCP) model. Numerical results based on the 148-node and 297-node systems are obtained to validate the effectiveness of the proposed method. 展开更多
关键词 Binary particle swarm optimization(BPSO) dynamic reconfiguration multi-level switching mixed-integer second-order cone programming(MISOCP) urban distribution network(UDN)
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