Flexible generation mix under multi objectives and uncertainties

R. Tanabe; K. Yasuda; R. Yokoyama; H. Sasaki

doi:10.1109/59.260824

Flexible generation mix under multi objectives and uncertainties

R. Tanabe, K. Yasuda, R. Yokoyama, H. Sasaki

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

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	https://doi.org/10.1109/59.260824
Publication status	Published - 1993 May

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/59.260824

Fingerprint Dive into the research topics of 'Flexible generation mix under multi objectives and uncertainties'. Together they form a unique fingerprint.

Cite this

@article{e55ce87c7b4f4bad8ec77ed50b3787fa,

title = "Flexible generation mix under multi objectives and uncertainties",

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.",

author = "R. Tanabe and K. Yasuda and R. Yokoyama and H. Sasaki",

year = "1993",

month = may,

doi = "10.1109/59.260824",

language = "English",

volume = "8",

pages = "581--586",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=0027592449&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027592449&partnerID=8YFLogxK

U2 - 10.1109/59.260824

DO - 10.1109/59.260824

M3 - Article

AN - SCOPUS:0027592449

VL - 8

SP - 581

EP - 586

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 2

ER -