CVaR-based Reserve Optimization for Isolated Multi-energy Complementary Generation Systems in Mixed Time Scale  

作　　者：Wanxiao Jiang Jichun Liu Jawad Shafqat Yi Lei 

机构地区：[1]College of Electrical Engineering,Sichuan University,Chengdu 610065,China

出　　处：《CSEE Journal of Power and Energy Systems》2024年第6期2597-2609,共13页中国电机工程学会电力与能源系统学报（英文）

摘　　要：With the rapid growth of photovoltaic integration,the volatility and uncertainty of intermittent photovoltaic injection will dramatically reduce system operation reliability from the generation side.The system operator may face certain financial risks brought by unexpected power failure under low operation reliability.Therefore,maintaining sufficient power reserve to meet system operation reliability and reduce risk,especially in an isolated system,is essential.However,the traditional reserve preparation strategy fails to consider the uncertainties of the power generation under the high penetration levels of emerging renewable energy resources.A novel reserve preparation strategy for an isolated system is developed in this paper using a twostage model.In the first stage,the optimal hourly scheduling of an isolated system is determined.In the second stage,a minute level conditional value-at-risk(CVaR)based model is established where the uncertainty of the reserve requirement is introduced with the chance constraint.The proposed discretized step transformation(DST)and subtraction type convolution(STC)methods are utilized to convert the model into mixedinteger linear programming,and finally solved by applying the CPLEX solver.The IEEE 39-bus system is used as the test case to validate the feasibility and effectiveness of the proposed two-stage model.

关 键 词：Isolated multi-energy complementary generation system renewable energy RESERVE risk assessment 

分 类 号：TM73[电气工程—电力系统及自动化]