Hybrid of lambda iteration and meta-heuristic methods for solving economic dispatch problem

• Autorzy: Aurasopon Apinan , Takeang Chiraphon

Identyfikatory

DOI

10.15199/48.2020.06.05

Warianty tytułu

PL

Hybrydowy algorytm optymalizacji ekonomicznego rozsyłu energii wykorzystujący iterację lambda i metodę meta-heurystyczną

• Języki publikacji: EN

Abstrakty

EN

New optimization algorithms for solving the economic dispatch problem are presented. The constraints of economic dispatch consist of power balance, generator rating, load demand, and transmission loss. In the proposed algorithms, a lambda iteration method is used to find the initial values for the meta-heuristic methods: BCO, PSO, and GA. This process results in the solution boundary being reduced. To verify the effectiveness of the proposed algorithm, two case studies with three and six generators were tested. The simulation results showed that the proposed algorithms can provide better solutions than the others in terms of convergence rate and generation outputs.

PL

Przedstawiono nową technikę optymalizacji umożliwiająca zwiększenie skuteczności ekonomicznego rozsyłu energii. Uwzględnia on równowagę mocy, ocenę generatora, wymagane obciążenia oraz straty przesyłania. Proponowana metoda jest hybrydową iteracją lambda oraz metodą meta-heurystyczną wykorzystującą algorytmy genetyczne. Przetestowano dwa przypadki układu z trzema i sześcioma generatorami.

Słowa kluczowe

EN

economic dispatch; lambda iteration; meta-heuristic; optimization

PL

rozsył energii ekonomiczny; optymalizacja; iteracja lambda

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 6
• Strony: 26--32
• Opis fizyczny: Bibliogr. 31., rys., tab.

Twórcy

autor

Aurasopon Apinan

• Faculty of Engineering, Mahasarakham University, Mahasarakham 44150, Thailand

autor

Takeang Chiraphon

• Faculty of Engineering, Rajamangala University of Technology Lanna, Lampang, Lampang 52000, Thailand

Bibliografia

• [1] A. J. Wood and B. F. Wollenberg. “Power Generation A. J. Wood and B. F. Wollenberg, Power Generation Operation and Control. New York: Wiley, 1984.
• [2] M. Ramamoorty, R. N. Dhar, and P. K. Mukherjee, “Reducedgradient method for economic dispatch,” in Electrical Engineers Proceedings of the Institution of Electrical Engineers, 120(1973), Issue 11, pp. 1419-1420.
• [3] A.A. El-Keib, H. Ma, and J.L. Hart, “Environmentally Constrained Economic Dispatch Using the La Grangian Relaxation Method”, IEEE Transactions on Power Systems, 9(1994), no. 4, pp.1723-1729.
• [4] R.J. Ringlee and D.D. Williams, ”Economic dispatch operation considering valve throttling losses II-distribution of system loads by the method of dynamic programming”, IEEE Trans. Power Appar. Syst., 81(1962), Issue 3, pp. 615-620.
• [5] M. Venkatesh and Ramakrishna Raghutu, “Economic Load Dispatch using Simulated Annealing Algorithm”, International Research Journal of Engineering and Technology (IRJET), 2(2015), Issue 3, pp. 1961-1964.
• [6] Ziane Ismail, Benhamida Farid, and Graa Amel, “Simulated Annealing Optimization for Generation Scheduling with Cubic Fuel Cost Function”, WSEAS Transactions on Information Science and Applications, 14(2017), pp. 64-69.
• [7] Vijay Kumar, Jagdev Singh, Yaduvir Singh, and Sanjay Sood, “Optimal Economic Load Dispatch Using Genetic Algorithms”, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 9(2015), no. 4, pp. 463-470.
• [8] Samuel A. Oluwadare, Gabriel B. Iwasokun, Olatubosun Olabode, O. Olusi, and Akintoba E. Akinwonmi, “Genetic Algorithm-based Cost Optimization Model for Power Economic Dispatch Problem”, British Journal of Applied Science & Technology, 15(2016), Issue 6, pp.1-10.
• [9] Ali Q. Al-Shetwi and Muwaffaq I. Alomoush, “A New Approach to the Solution of Economic Dispatch using Genetic Algorithm“, Journal of Engineering and Technology, 7(2016), no. 1, pp. 40-48.
• [10] Ahmet Dogan, Tankut Yalcinoz, and Mustafa Alci, “A Comparison of Heuristic Methods for Optimum Power Flow Considering Valve Point Effect”, ELEKTRONIKA IR ELEKTROTECHNIKA, 22(2016), no. 5, pp. 32-37.
• [11] M. F. Zaman, Saber M. Elsayed, Tapabrata Ray, and Ruhul A. Sarker, “Evolutionary Algorithms for Dynamic Economic Dispatch Problems”, IEEE Transactions on Power Systems, 31(2016), no. 2, pp.1486-1495.
• [12] H. Manafi, N. Ghadimi, M. Ojaroudi, and P. Farhadi3, “Optimal Placement of Distributed Generations in Radial Distribution Systems Using Various PSO and DE Algorithms”, ELEKTRONIKA IR ELEKTROTECHNIKA, 19(2013), no. 10, pp. 53-57.
• [13] Vijay Kumar Joshi, “Optimization of Economic Load Dispatch Problem by using Tabu Search Algorithm”, International Journal of Latest Trends in Engineering and Technology, 8(2017), Issue 4-1, pp.182-187.
• [14] K. Srikanth and V. HariVamsi, “Partical Swarm Optimization Technique for Dynamic Economic Dispatch”, International Journal of Research in Engineering and Technology, 5(2016), Issue 5, pp. 460-466.
• [15] Haifeng Zhang, “An Improved Particle Swarm Optimization Algorithm for Dynamic Economic Dispatch Problems”, 32 PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 96 NR 6/2020 International Journal of Innovative Research in Engineering & Management (IJIREM), 3(2016), Issue 4, pp.264-266.
• [16] Hossein Lotfi, Ali Dadpour, and Mahdi Samadi, “Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm”, International Journal of Smart Electrical Engineering, 6(2017), no.1, pp. 35- 41.
• [17] Dhaval K.Thesia, Pradeep Jangir, and Dr. Indrajit N.Trivedi, “Economic Emission Dispatch Problem Solution Using Ant Colony Optimization of Micro-grid in Island Mode”, International Journal of Advance Engineering and Research Development, 2(2015), Issue 5, pp.89-95.
• [18] M.N. Nwohu and Osaremwinda Osarobo Paul, “Evaluation of Economic Load Dispatch Problem in Power Generating Stations by the Use of Ant Colony Search Algorithms”, International Journal of Research Studies in Electrical and Electronics Engineering (IJRSEEE), 3(2017), Issue 1, pp. 20- 29.
• [19] K. Chandrasekaran, Sishaj P. Simon, and Narayana Prasad Padhy, “Cuckoo Search Algorithm for Emission Reliable Economic Multi-Objective Dispatch Problem”, IETE Journal of Research, 60(2014), Issue 2, pp.128-138.
• [20] Thang Trung Nguyen, Dieu Ngoc Vo, and Bach Hoang Dinh, “Cuckoo search algorithm for combined heat and power economic dispatch”, Electrical Power and Energy Systems, ELSEVIER, 81(2016), pp. 204-214.
• [21] Mohsen Darabian, Seyed Masoud Moheni-Bonab, and Behnam Moohammadi-Ivatloo, “Improvement of Powre System Stability by Optimal SVC Controller Design Using Shuffled Frog Leaping Aigorithm”, IETE Journal of Research, 61(2015), Issue 2, pp.160-169.
• [22] K. Selvakumar, K. Vijayakumar, D. Sattianadan, and C. S. Boopathi, “Shuffled Frog Leaping Algorithm (SFLA) for Short Term Optimal Scheduling of Thermal Units with Emission Limitation and Prohibited Operational Zone (POZ) Constraints”, Indian Journal of Science and Technology, 9(2016), no. 42, pp. 1-6.
• [23] Dinu Calin Secui. “A new modified bee colony algorithm for the economic dispatch problem”, Energy Conversion and Management, Elsevier, Science Direct, 89 (2015), pp.43-62.
• [24] Wanchai KHAMSEN and Chiraphon TAKEANG, “Hybrid of Lamda and Bee Colony Optimization for Solving Economic Dispatch”, PRZEGLAD ELEKTROTECHNICZNY, 9(2016), pp.220-223.
• [25] Gitanjali Mehta, Raghvendra Pratap Singh, and Vinod Kumar Yada, “Optimization of Combined Economic Emission Dispatch Problem using Artificial Bee Colony Method”, International Journal on Cybernetics & Informatics (IJCI), 6(2017), no. 1/2, pp. 107-118.
• [26] Hardiansyah, Junaidi and Yohannes MS, “An Efficient Simulated Annealing Algorithm for Economic Load Dispatch Problems”, TELKOMNIKA (Telecommunication Computing Electronics and Control)”, 11(2013), no. 1, pp. 37-46.
• [27] Rasoul Rahmani, Mohd Fauzi,Othman, Rubiyah Yusof, and Marzuki Khalid, “Solving Economic Dispatch Problem using Partical Swarm Optimization by an Evolutionary Techique for Initialzing Particles”, Journal of Theoretical and Applied Information Technology”, 46(2012), No. 2, pp. 526-536.
• [28] C.Kumar and T.Alwarsamy, “Solution of Economic Dispatch Problem using Differential Evolution Algorithm”, International Journal of Soft Computing and Engineering (IJSCE), 1(2012), Issue 6, pp.236-241.
• [29] M. Basu and A. Chowdhury, “Cuckoo search algorithm for economic dispatch”, Energy, ELSEVIER, 60(2013), pp. 99-108.
• [30] Babak Jeddi and Vahid Vahidinasab, “A modified harmony search method for environmental/economic load dispatch of real-world power systems”, Energy Conversion and Management, ELSEVIER, 78(2013), pp. 661-675.
• [31] Wael T. Elsayed and Ehab F. El-Saadany, “A Fully Decentralized Approach for Solving the Economic Dispatch Problem”, IEEE TRANSACTIONS ON POWER SYSTEMS, 30(2015), no. 4, pp. 2179-2189.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).