Title :
Optimal multi-objective units start-up strategy based on greedy algorithm
Author :
Bowen Zhang ; Libao Shi ; Yixin Ni ; Liangzhong Yao ; Bazargan, Masoud
Author_Institution :
Nat. Key Lab. of Power Syst. in Shenzhen, Tsinghua Univ., Shenzhen, China
Abstract :
In this paper, a multi-objective units start-up optimization strategy is proposed. In the proposed model, the economic factors during generator start-up are introduced into the conventional units start-up objective function. Furthermore, the system frequency characteristics as well as generator ramp constraints are considered during analysis. The greedy algorithm is employed to solve the proposed model. Finally, the case studies are carried out based on the IEEE 30-bus test system as benchmark to demonstrate the effectiveness and validity of the proposed model and method.
Keywords :
greedy algorithms; optimisation; power generation economics; power system restoration; IEEE 30-bus test system; economic factors; generator start-up; greedy algorithm; multiobjective units start-up optimization strategy; optimal multiobjective units start-up strategy; units start-up objective function; Economics; Generators; Greedy algorithms; Linear programming; Optimization; Power systems; Time-frequency analysis; economic benefit; frequency constraint; greedy algorithm; power system restoration; units start-up;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718881