考虑光储充放电站的配电网电压应急优化方法OA
Contingency Optimization Method for Distribution Network Voltage Considering Photovoltaic-storage-charging and Discharging Stations
新型电力系统背景下,电动汽车光储充放一体化电站的规模化接入使得配电网电压失稳风险显著加剧,尤其在失去主网供电的应急场景下,光伏出力与充放电站负荷功率的强不确定性进一步威胁系统安全.为此,本文面向失去主网供电的孤岛运行场景,提出一种考虑光储充放电站不确定性的配电网电压应急优化方法.首先,分别构建光储充放一体化电站光伏出力及负荷功率的概率模型.其次,基于协方差分析的全局灵敏度方法量化评估不确定性变量独立作用与相关作用对静态电压稳定性的影响,并采用自适应稀疏多项式混沌展开模型降低计算复杂度.然后,建立以静态电压稳定L指标为目标、融合储能与无功补偿装置协同调控的多约束应急优化模型,通过关键变量筛选实现可调设备容量的高效配置.最后,基于改进的IEEE 33节点配电网算例仿真,验证了所提配电网电压优化方法在应急场景下的可行性与优越性.
In the context of the new power system,the scale access of integrated electric vehicle(EV)-photovoltaic(PV)-storage-charging and discharging power stations makes the risk of distribution network voltage instability significantly aggravated,especially in the emergency scenario of losing main grid power supply,the strong uncertainty of PV output and charging and discharging station load power further threatens the system security.For this reason,a contingency optimization method for distribution network voltage considering the uncertainty of photovoltaic-storage-charging and discharging station is proposed for the islanded operation scenario of losing main grid power supply.First,the probability model of PV output and load power of the integrated photovoltaic-storage-charging and discharging station is constructed respectively.Second,a global sensitivity method based on covariance analysis quantitatively evaluates the impact of independent and correlated effects of uncertainty variables on static voltage stability,and an adaptive sparse polynomial chaos expansion model is used to reduce the computational complexity.Then,a multi-constraint contingency optimization model is established with the static voltage stability L-index as the objective,integrating coordinated control of energy storage and reactive power compensation devices,and the efficient allocation of adjustable equipment capacity is achieved by screening key variables.Finally,the feasibility and superiority of the proposed distribution network voltage optimization method in emergency scenarios are verified based on the improved IEEE 33-node distribution network example simulation.
赵鑫;刘汉民;薄博;杨坡;夏华
国网冀北电力有限公司承德供电公司,河北 承德 067000国网冀北清洁能源汽车服务(北京)有限公司,北京 100053国网冀北电力有限公司,北京 100054国网冀北电力有限公司,北京 100054国电南瑞南京控制系统有限公司,江苏 南京 211106
信息技术与安全科学
配电网光储充放电站全局灵敏度分析相关性电压优化应急控制
distribution networkphotovoltaic-storage-charging and discharging stationglobal sensitivity analysiscorrelationvoltage optimizationcontingency control
《山东电力技术》 2026 (4)
55-65,11
国家电网有限公司科技项目(B30106240006). Science and Technology project of State Grid Corporation of China(B30106240006).
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