计及电热特性动态耦合的含风电配网多时间尺度协同优化研究OA
Multi-time Scale Comprehensive Optimization for Distribution Network Operation With Distributed Wind Power Considering Line Electro-Thermal Coupling
在含高比例分散式风电的配电网热稳定性评估中,传统静态热定值(static thermal rating,STR)未计及风速的影响,可能引起非必要弃风与切负荷.对此,文章分析了风速对架空线路热稳定裕度的动态影响,据此电热特性的动态耦合设计了热稳定裕度增量(thermal stability margin increment,TSMI)指标,并建立了配电网多时间尺度协同优化模型.基于改进金豺优化算法、内点法与基于TSMI的启发式算法的综合求解框架,实现了日前动态重构以及日内配网调度与实时安全校核的协同优化.仿真结果表明,相比STR指标,所提TSMI可有效判断系统的热稳定性,据此提出的协同优化方法因避免非必要弃风与切负荷代价而具有显著的经济性优势,且TSMI计算的快速性保障了实时安全校核的分析效率.
As to assessing the thermal stability of distribution networks with a high proportion of distributed wind power,the traditional Static Thermal Rating(STR)hardly considers the influence of wind speed,potentially leading to unnecessary wind curtailment and load shedding.Based on analyzing the dynamic impact of wind speed on the thermal stability margin of overhead lines,this paper proposes a thermal stability margin increment(TSMI)index,and a TSMI-based multi-time scale comprehensive optimization method is established accordingly,which comprehensively coordinates the day-ahead dynamic reconfiguration,intra-day scheduling,and real-time security verification by incorporating an improved Golden Jackal Optimization algorithm,the Interior Point Method,and a TSMI-based heuristic algorithm.Case studies demonstrate the significant economic advantage of the proposed method by avoiding unnecessary wind curtailment and load shedding,and the computational efficiency of TSMI meets the demands for real-time security assessment.
刘昀;成俊贤;郝思鹏;刘海涛;赵美莲;赖业宁
南京工程学院电力工程学院,江苏省 南京市 211167南京工程学院电力工程学院,江苏省 南京市 211167南京工程学院电力工程学院,江苏省 南京市 211167南京工程学院电力工程学院,江苏省 南京市 211167南京工程学院电力工程学院,江苏省 南京市 211167南瑞集团有限公司(国网电力科学研究院有限公司),江苏省 南京市 211106
信息技术与安全科学
动态热定值分散式风电电热动态耦合多时间尺度优化
dynamic thermal ratingdistributed wind powerelectro-thermal dynamic couplingmulti-time scale optimization
《电网技术》 2026 (4)
1672-1684,中插86,14
江苏省配电网智能技术与装备协同创新中心2023年度开放基金项目(XTCX202302).Project Supported by Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing Institute of Technology(XTCX202302).
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