摘要
在高比例新能源并网背景下,为了保证新型电力系统运行的安全稳定,挖掘多类灵活性资源的调节潜力至关重要。为此,提出多类灵活性资源日前–实时两阶段协同优化模型。首先,通过场景模拟和场景削减技术模拟新能源发电不确定性,并分析了电源侧、用户侧、储能侧灵活性资源的类型及优势。然后,设计日前–实时两阶段优化框架并建立风险经济调度模型,在日前阶段,根据新能源预测功率确定启停计划、发电计划等,以最小运行成本达到功率平衡。在实时阶段,根据新能源实际模拟功率确定调整功率、调用备用容量、需求响应程度,以最小期望成本达到功率再平衡。为了刻画新能源不确定性,在目标函数中引入条件风险价值来度量风险。最后,以区域系统为例进行算例分析。研究结果表明:在两阶段优化框架下,多类型电源实现互济,共同满足系统负荷需求,电源侧、用户侧、储能侧的灵活性资源发挥了协同调节功能,增强了系统灵活性;此外,两阶段风险经济调度模型通过条件风险价值刻画不确定性,较好地均衡了系统运行的经济性和安全性。
In the context of high proportion of new energy grid connection,in order to ensure the safe and stable operation of the new power system,it is important to find the adjustment potential of various types of flexible resources.Therefore,a day-ahead and real-time two-stage collaborative optimal model of multi-class flexible resources was proposed.Firstly,the uncertainty of new energy power generation was simulated by scenario simulation and scenario reduction technology,and the types and advantages of flexible resources on the power side,user side and energy storage side were analyzed.Then,the twostage optimal framework of day-ahead and real-time was designed,and the risk economy dispatching model was established.In the day-ahead stage,the start-stop plan and power generation plan were determined according to the predicted power of the new energy,and the power balance was achieved with the minimum operating cost.In the real-time stage,the power adjustment,call reserve capacity and demand response degree were determined according to the actual simulated power of the new energy,and the power rebalancing was achieved at the minimum expected cost.In order to characterize the uncertainty of new energy,conditional value at risk was introduced into the objective function to measure risk.Finally,the regional system was taken as an example for numerical analysis.The results show that multiple types of power supply could achieve mutual assistance and meet the system load demand jointly under the two-stage optimal system.The flexibility resources of the power side,user side,and energy storage side played a collaborative adjustment function to enhance the flexibility of the system.In addition,the two-stage risk economy dispatching model characterized the uncertainty through conditional risk value,which better balanced the economy and safety of system operation.
作者
梁燕
吉喆
樊伟
尹哲
赵海波
王尧
刘红丽
侯昱丞
LIANG Yan;JI Zhe;FAN Wei;YIN Zhe;ZHAO Haibo;WANG Yao;LIU Hongli;HOU Yucheng(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;Economic Research Institute,State Grid Shanxi Electric Power Company,Taiyuan 030000,China;School of Economics and Management,North China Electric Power University,Beijing 102206,China)
出处
《上海理工大学学报》
CAS
CSCD
北大核心
2024年第4期440-451,共12页
Journal of University of Shanghai For Science and Technology
基金
国家电网公司科技项目(520533220008)
国家自然科学基金资助项目(72174062)。
关键词
新型电力系统
灵活性资源
两阶段优化
调度模型
条件风险价值
new power system
flexible resources
two-stage optimal
dispatching model
conditional value at risk
作者简介
第一作者:梁燕(1987-),女,博士研究生.研究方向:新型电力系统成本疏导机制研究、电价与市场研究.E-mail:liangyan_lyly@163.com;通信作者:樊伟(1995-),男,博士后.研究方向:能源经济、电力技术经济.E-mail:fanwei@ncepu.edu.cn。
