DocumentCode
30760
Title
On the Use of Pumped Storage for Wind Energy Maximization in Transmission-Constrained Power Systems
Author
Hozouri, Mohammad Amin ; Abbaspour, Ali ; Fotuhi-Firuzabad, Mahmud ; Moeini-Aghtaie, Moein
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume
30
Issue
2
fYear
2015
fDate
Mar-15
Firstpage
1017
Lastpage
1025
Abstract
Owing to wind power inherent characteristics and technical constraints of power systems operation, a considerable amount of wind energy cannot be delivered to load centers and gets curtailed. Transmission congestion together with temporal mismatch between load and available wind power can be accounted as the main reasons for this unpleasant event. This paper aims to concentrate on the wind energy curtailment for which it provides a combinatorial planning model to maximize wind power utilization. Jointly operating the wind power generation system with pumped hydro energy storage (PHES), the planning procedure tries to reach schemes with the minimum level of wind energy curtailment as well as low imposed cost of transmission network reinforcement. In this regard, a well-organized posterior multi-objective (MO) optimization framework is proposed aimed to properly deal with wind energy curtailment cost, total social cost, and also storage units´ revenue as some unavoidable factors in planning studies of power systems. The presented method is conducted on the modified IEEE Reliability Test System (IEEE-RTS) and the obtained results introduce its applicability and efficiency in planning procedure of the renewable-based power systems.
Keywords
optimisation; power transmission planning; power transmission reliability; pumped-storage power stations; wind power plants; IEEE reliability test system; IEEE-RTS; PHES; combinatorial planning model; multiobjective optimization; power systems operation; power systems planning; pumped hydro energy storage; pumped storage; storage units revenue; temporal mismatch; transmission congestion; transmission network reinforcement; transmission-constrained power systems; wind energy curtailment; wind energy maximization; wind power generation system; wind power utilization; Energy storage; Generators; Planning; Power systems; Wind energy; Wind farms; Wind power generation; Multi-objective (MO) optimization; non-dominated sorting genetic algorithm II (NSGA II); pumped hydro energy storage (PHES); transmission reinforcement; wind energy curtailment; wind farms;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2364313
Filename
6949152
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