TITLE:
Research on Optimization for Units Start During Power System Restoration
AUTHORS:
Jun Chen, Wei-xing Zhao, Hua-ying Su, Jia-lin Bai, Nian Liu, Xiao-yan Qiu, Qian Liao
KEYWORDS:
Power system; Units start; data envelopment analysis; knapsack problem
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
6,
2013
ABSTRACT: Considering units starting and network constraints and the
concept of optimization period,a optimization model which is a typical
multi-constraint knapsack problem is established to solve the selection
optimization problem of units starting in power system restoration period in
this paper, and the objective of the model is to maximize the total power generation
capability. A relative effectiveness assessment based on a improving data
envelopment analysis is adopted to select the initial units to be started, genetic
algorithms are employed to solve the knapsack problem to determine the most
reasonable units be started at the current time. Finally, IEEE-39 bus system simulation
result proves that the proposed model is feasible and effective.