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Optimal generation scheduling based on AHP/ANP.

J A Momoh¹, Jizhong Zhu

¹Dept. of Electr. Eng., Howard Univ., Washington, DC, USA.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 2, 2008

Summary

This study introduces Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to optimize power generation unit selection and pricing in competitive markets. The methods effectively handle complex factors for better decision-making in unit commitment problems.

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Area of Science:

Electrical Engineering
Operations Research

Background:

Competitive power markets require advanced methods beyond classical optimization.
Unit commitment problems involve complex technical and non-technical constraints.

Purpose of the Study:

To enhance the selection and pricing of power generation units in deregulated markets.
To develop a scheme integrating multiple factors for optimal unit commitment decisions.

Main Methods:

Application of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP).
Incorporation of factors: load demand, generation cost, bid/sale price, unit costs, and unit importance.
Testing on the IEEE 39-bus test system.

Main Results:

The proposed scheme effectively ranks, prioritizes, and schedules generation units.
Optimized pricing strategies are developed to meet demand.
The approach addresses both technical and non-technical constraints in unit commitment.

Conclusions:

AHP and ANP provide a robust framework for complex power system optimization.
The integrated scheme offers effective decision support for competitive power environments.
The methodology is validated on a standard power system test case.