Rolling scheduling of electric power system with wind power based on improved NNIA algorithm

2017 International Conference on New Energy and Future Energy System

Xu, Q.S.^1,2 ; Luo, C.J.^1 ; Yang, D.J.^1,2 ; Fan, Y.H.^1,2 ; Sang, Z.X.^1,2 ; Lei, H.^1,2

State Grid Hubei Economic Research Institute, Hubei Province Wuhan

430077, China^1

State Grid Laboratory for Hydro-thermal Power Resources Optimal Allocation and Simulation Technology, Hubei Province Wuhan

430077, China^2

关键词: Algorithm convergence;    Day-ahead scheduling;    Equal incremental;    Generation process;    Preference relation;    Rolling scheduling;    Security constraint;    Transmission sections;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/93/1/012043/pdf
DOI  :  10.1088/1755-1315/93/1/012043

来源: IOP

【 摘 要 】

This paper puts forth a rolling modification strategy for day-ahead scheduling of electric power system with wind power, which takes the operation cost increment of unit and curtailed wind power of power grid as double modification functions. Additionally, an improved Nondominated Neighbor Immune Algorithm (NNIA) is proposed for solution. The proposed rolling scheduling model has further improved the operation cost of system in the intra-day generation process, enhanced the system's accommodation capacity of wind power, and modified the key transmission section power flow in a rolling manner to satisfy the security constraint of power grid. The improved NNIA algorithm has defined an antibody preference relation model based on equal incremental rate, regulation deviation constraints and maximum & minimum technical outputs of units. The model can noticeably guide the direction of antibody evolution, and significantly speed up the process of algorithm convergence to final solution, and enhance the local search capability.