Robust Unit Commitment for Large-scale Wind Generation and Run-off-river Hydropower  

作　　者：Yue Chen Feng Liu Wei Wei Shengwei Mei Naichao Chang 

机构地区：[1]State Key Laboratory of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China [2]State Grid Corporation of China,Beijing 100031,China

出　　处：《CSEE Journal of Power and Energy Systems》2016年第4期66-75,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported in part by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(51321005);State Grid Corporation of China Science and Technology Project(SGSXDKY-DWKJ 2015-001).

摘　　要：Increased penetration of large-scale renewable sources such as wind and solar power creates additional constraints for power system maintenance,reliability and security.The intermittent and fluctuation characteristics of renewable energy require robust operation methodologies.Co-optimized scheduling of multiple energy resources is regarded as an efficient way to accommodate renewable energy.As the second largest source of electricity in the world,hydro power is clean and has the merits of ease of regulation,low cost and high flexibility.In this regard,it can play an important role in mitigating the uncertainty of wind power.This paper proposes a robust wind-hydro-thermal unit commitment(UC)model that provides reliable day-ahead unit commitment decisions.The hydro units are operated in longer time scales than the thermal units,so as to capture reservoir operations.The hydro production capability curve is linearized by using variable separation and the piecewise linear(PWL)function,leading to a mixed integer linear programming(MILP)problem that can be solved using mature software such as CPLEX.Numerical tests on an IEEE 39-bus system demonstrate the effectiveness of the proposed model to increase system flexibility in accommodation of uncertain wind power.

关 键 词：Multi-timescale robust optimization windhydro-thermal unit commitment 

分 类 号：G63[文化科学—教育学]