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

Yıl 2018, Cilt: 13 Sayı: 4, 310 - 317, 13.10.2018

ÖZGE PINAR Akkaş , YAĞMUR Arıkan , ERTUĞRUL Çam

Öz

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. 

Anahtar Kelimeler

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

Öz

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.

Anahtar Kelimeler

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

Kaynakça

• [1] Shahidehpour, M., Yamin, H., and Li, Z., (2002). Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management, John Wiley & Sons, Inc.
• [2] Sudhakar, A.V.V., Karri, C., and Laxmi, A.J., (2017). Profit Based unit Commitment for GENCOs Using Lagrange Relaxation-Differential Evolution. Engineering Science and Technology, an International Journal, Volume:20, Issue:2, pp:738-747.
• [3] Reddy, K.S., Panwar, L.K., Kumar, R., and Panigrahi, B.K., (2016). Binary Fireworks Algorithm for Profit Based Unit Commitment (PBUC) problem. Electrical Power and Energy Systems, Volume:83, pp:270-282.
• [4] Raglend, I.J., Raghuveer, C., Avinash, G.R., Padhy, N.P., and Kothari, D.P., (2010). Solution to Profit Based Unit Commitment Problem Using Particle Swarm Test. Applied Soft Computing, Volume:10, Issue:4, pp:1247-1256.
• [5] Solanki, J., Khushalani, S., and Srivastava, A., (2006). A Genetic Algorithm Approach to Price-Based Unit Commitment. IEEE.
• [6] Rampriya, B. and Mahadevan, K., (2010). Scheduling the Units and Maximizing the Profit of Gencos Using LR-PSO Technique. International Journal on Electrical Engineering and Informatics, Volume:2, Number:2, pp:150-158.
• [7] Dimitroulas, D.K. and Georgilakis, P.S., (2011). A New Memetic Algorithm Approach for the Price Based Unit Commitment Problem. Applied Energy, Volume:88, Issue:12, pp:4687-4699.
• [8] Selvakumar, K., Venkatesan, T., and Sanavullah, M.Y., (2012). Price Based Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm. IEEE-International Conference on Advances in Engineering, Science and Management (ICAESM-2012.
• [9] Lakshmi, K. and Vasantharathna, S., (2014). Genco’s Profit Based Unit Commitment Using Artificial Immune System in Day Ahead Competitive Electricity Markets. Journal of Applied Science and Engineering, Volume:17, No:3, pp:275-282.
• [10] Anand, H., Narang, N., and Dhillon, J.S., (2018). Profit Based Unit Commitment Using Hybrid Optimization Technique. Energy, Volume:148, pp:701-715.
• [11] Sudhakar, A.V.V., Karri, C., and Jaya Laxmi, A., (2018). A Hybrid LR-secant Method-Invasive Weed Optimisation for Profit Based Unit Commitment. International Journal of Power and Energy Conversion, Volume:9, Issue:1, DOI: 10.1504/IJPEC.2018.088256.
• [12] Bikeri, A., Muriithi, C., and Kihato, P., (2018). GENCO Optimal Bidding Strategy and Profit Based Unit Commitment using Evolutionary Particle Swarm Optimization Illustrating the Effect of GENCO Market Power. International Journal of Electrical and Computer Engineering (IJECE), Volume:8, No:4, pp:1997-2013.
• [13] Satty, T.L., (1980). The Analytic Hierarchy Process. Canada: McGraw Hill, Inc.
• [14] Zhu, J., (2005). Optimization of Power System Operation. The Institute of Electrical and Electronics Engineers, Inc. by John Wiley & Sons, Inc. pp:253-296.
• [15] Brushan, N. and Rai, K., (2004). Strategic Decision Making Applying the Analytic Hierarchy Process, pp:11-21.
• [16] Triantaphyllou, E. and Mann, S.H., (1995). Using the Analytic Hierarchy Process for Decision Making in Engineering Applications: Some Challenges. International Journal of Industrial Engineering: Applications and Practice, Volume:2, No:1, pp:35-44.
• [17] Attaviriyanupap, P., Kita, H., Tanaka, E., and Hasegawa, J., (2003). A Hybrid LR-EP for Solving New Profit-Based UC Problem Under Competitive Environment. IEEE Transactions on Power Systems, Volume:18, No:1, pp:229-237.
• [18] Logenthiran, T. and Srinivasan, D., (2011). LRGA for Solving Profit Based Generation Scheduling Problem in Competitive Environment. IEEE Congress Evol. Comput, pp:1148-1154.
• [19] Tehzeeb-ul-Hassan, H. and Ahmad, A., (2013). Profit Based Unit Commitment and Economic Dispatch of IPPs with New Technique. International Journal of Electrical Power & Energy Systems, Volume:44, Issue:1, pp:880-888.