DocumentCode :
1475286
Title :
Allocation of Network-Driven Load-Management Measures Using Multiattribute Decision Making
Author :
Baboli, Payam Teimourzadeh ; Moghaddam, Mohsen Parsa
Author_Institution :
Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
Volume :
25
Issue :
3
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
1839
Lastpage :
1845
Abstract :
In restructured power systems, the independent system operator (ISO) has to maintain system reliability at an acceptable level. In addition to the expected energy not supplied (EENS) as a reliability index, the total grid losses are another system operators´ anxieties. Load management (LM) is an effective mean to achieve a suitable network operational condition. The optimum allocation of LM program is of great practical interest. This paper presents a multiattribute decision-making for allocation of network-driven load-management (NDLM) measures. The objectives of the optimization problem are defined as minimization of the EENS, minimization of total grid losses, and maximization of load-management capacity. It has been shown that these objectives are conflicting aspects of an NDLM program which is solved by the STEM interactive method. The IEEE reliability test system is used to demonstrate the effectiveness of the proposed methodology.
Keywords :
IEEE standards; decision making; load management; optimisation; power system reliability; EENS minimization; IEEE reliability test system; NDLM; STEM interactive method; expected-energy-not-supplied; independent system operator; multiattribute decision making; network driven load management allocation; optimization problem; power grid losses; power system reliability; Multiattribute decision making (MADM); STEM interactive method; network-driven load management (NDLM); reliability evaluation; sensitivity indices;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2010.2045517
Filename :
5451175
Link To Document :
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