Abstract
This paper presents criteria for evaluating flexibility of a generation mix and develops an efficient computational algorithm for determining a flexible generation mix considering uncertainties in the power system expansion planning. The flexible generation mix problem is formulated as multiobjective optimization problem and solved by the dynamic programming technique in which each type of generation plants is selected as a stage and generation capacity is selected as a state. The proposed method can treat easily not only the uncertainties by also many constraints of generation planning such as integer solutions of generation capacities, reliability constraints, and so on. The effectiveness and feasibility of the proposed method are demonstrated on a typical power system model.
| Original language | English |
|---|---|
| Pages (from-to) | 581-586 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1993 May |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Flexible generation mix under multi objectives and uncertainties. / Tanabe, R.; Yasuda, K.; Yokoyama, R.; Sasaki, H.
In: IEEE Transactions on Power Systems, Vol. 8, No. 2, 05.1993, p. 581-586.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Flexible generation mix under multi objectives and uncertainties
AU - Tanabe, R.
AU - Yasuda, K.
AU - Yokoyama, R.
AU - Sasaki, H.
PY - 1993/5
Y1 - 1993/5
N2 - This paper presents criteria for evaluating flexibility of a generation mix and develops an efficient computational algorithm for determining a flexible generation mix considering uncertainties in the power system expansion planning. The flexible generation mix problem is formulated as multiobjective optimization problem and solved by the dynamic programming technique in which each type of generation plants is selected as a stage and generation capacity is selected as a state. The proposed method can treat easily not only the uncertainties by also many constraints of generation planning such as integer solutions of generation capacities, reliability constraints, and so on. The effectiveness and feasibility of the proposed method are demonstrated on a typical power system model.
AB - This paper presents criteria for evaluating flexibility of a generation mix and develops an efficient computational algorithm for determining a flexible generation mix considering uncertainties in the power system expansion planning. The flexible generation mix problem is formulated as multiobjective optimization problem and solved by the dynamic programming technique in which each type of generation plants is selected as a stage and generation capacity is selected as a state. The proposed method can treat easily not only the uncertainties by also many constraints of generation planning such as integer solutions of generation capacities, reliability constraints, and so on. The effectiveness and feasibility of the proposed method are demonstrated on a typical power system model.
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UR - http://www.scopus.com/inward/citedby.url?scp=0027592449&partnerID=8YFLogxK
U2 - 10.1109/59.260824
DO - 10.1109/59.260824
M3 - Article
VL - 8
SP - 581
EP - 586
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
SN - 0885-8950
IS - 2
ER -