计及最小惯量约束的风光火储联合系统优化调度OA北大核心CSTPCD
Optimal Dispatching of Wind-photovoltaic-thermal-storage Combined System Considering Minimum Inertia Constraints
风、光、储多种新能源并网使系统常常处在低惯量运行场景下,给考虑频率稳定的系统优化调度带来极大挑战.为此提出了一种计及最小惯量约束的多源联合电力系统优化调度模型.首先,综合考虑两项频率指标,计算满足频率指标的系统最小惯量需求,将非线性的频率稳定约束转化为线性的最小惯量约束加入调度模型之中.其次,利用含模糊参数的机会约束表达源荷不确定性对于联合系统的影响,建立模糊参数下的系统优化调度模型.最后,通过IEEE 30节点系统验证了该模型的经济性与安全性.
The integration of new energies such as wind,photovoltaic and storage power makes the system often operatein low inertia scenarios,posing significant challenges to the optimal dispatching of system while ensuring the frequency stability. In this paper,an optimal dispatching model of multi-source combined power system considering minimum in-ertia constraints is proposed. First,by taking into account two frequency indexes,the minimum inertia that is needed to meet these indexes is calculated,and the nonlinear frequency stability constraint is transformed into a linear minimum inertia constraint,which is further added to the dispatching model. Second,the fuzzy parameter-based chance con-straints are incorporated to indicate the effect of source-load uncertainties on the combined system,and the optimal dis-patching model of system under fuzzy parameters is established. Finally,the economy and safety of the proposed model is validated using an IEEE 30-node system.
孙亮;王伟镪;王奕霏;吴长鹏
现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 132000国网抚顺供电公司,抚顺 113000
动力与电气工程
最小惯量计算风光火储联合系统虚拟惯量优化调度
minimum inertia calculationwind-photovoltaic-thermal-storage combined systemvirtual inertiaoptimal dispatching
《电力系统及其自动化学报》 2024 (008)
30-38 / 9
吉林省科技厅自然科学基金资助项目(YDZJ202101ZYTS194)
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