APPLICATION OF AHP METHOD FOR SOLVING THE UNIT COMMITMENT PROBLEM IN A DAY AHEAD MARKET

Year 2018, Volume: 13 Issue: 4, 310 - 317, 13.10.2018

ÖZGE PINAR Akkaş , YAĞMUR Arıkan , ERTUĞRUL Çam

Abstract

The aim of unit commitment problem in power systems has been converted from cost minimization to profit maximization with the liberalization of power markets. The generation companies (GENCOs) schedule the units to maximize their profit for the forecasted prices in day ahead market (DAM). The generation scheduling of generators in deregulated environment is called as Profit Based Unit Commitment (PBUC). In this paper, an application of Analytic Hierarchy Process (AHP) is proposed to solve PBUC problem. The method is applied to 3- units power system. The results are compared with the methods in the literature. As shown in the study, the proposed AHP method introduces its applicability and efficiency for solving the unit commitment problem in a day ahead market. 

Keywords

Price Based Unit Commitment, Analytic Hierarchy Process, Decision Making, Power Systems, Day ahead Market

APPLICATION OF AHP METHOD FOR SOLVING THE UNIT COMMITMENT PROBLEM IN A DAY AHEAD MARKET

Abstract

The aim of unit commitment problem in power
systems has been converted from cost minimization to profit maximization with
the liberalization of power markets. The generation companies (GENCOs) schedule
the units to maximize their profit for the forecasted prices in day ahead
market (DAM). The generation scheduling of generators in deregulated
environment is called as Profit Based Unit Commitment (PBUC). In this paper, an
application of Analytic Hierarchy Process (AHP) is proposed to solve PBUC
problem. The method is applied to 3-units power system. The results are
compared with the methods in the literature. As shown in the study, the
proposed AHP method introduces its applicability and efficiency for solving the
unit commitment problem in a day ahead market.

Keywords

Price Based Unit Commitment, Analytic Hierarchy Process, Decision Making, Power Systems, Day ahead Market

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