A Novel Multi-objective Optimization Dispatch Model for Hybrid Thermal-Wind-PV Power System

• Autorzy: Wei Y. , Niu D. , Lu Y.

Warianty tytułu

PL

Model optymalizacji wielokryterialnej na potrzeby hybrydowego termiczno-wiatrowo-PV systemu Odnawialnych Źródeł Energii

• Języki publikacji: EN

Abstrakty

EN

A novel multi-objective model for hybrid thermal-wind-PV power system is proposed in this paper to solve the problem of energy saving and emission reduction/economic dispatch which is optimized by proposed Karush-Kuhn-Tucker (KKT) and quantum genetic algorithm (QGA). Through detailed analyses, mathematical functions of power operation, energy consumption and emission and relevant constraint conditions are proposed, and then for the first time, the multi-objective optimization model of energy saving and emission reduction/economic dispatch including thermal power, wind power and PV power is established. KKT is used to transform multi-objective model into single-objective one, QGA is used to optimize the single-objective model, then a novel KKT and QGA is proposed. Several simulations including wind power, PV power and thermal power are proposed, which shows positive effects of wind power and PV power in energy saving and emission reduction. The experimental study shows that the proposed algorithm is more accurate and with less computational time than commonly used optimization methods. The actual implementation results prove that the model and algorithm are effective and practical to reduce power cost, energy consumption and emission.

PL

W artykule przedstawiono model hybrydowego systemu Odnawianych Źródeł Energii (termiczne, wiatrowe, fotowoltaika). W modelu wzięto pod uwagę optymalizację użytkowania (oszczędzanie energii oraz ekonomika wytwarzania). Wykorzystano metodę Karush-Kuhn-Tucker oraz QGA. Na podstawie analiz, opracowano funkcje matematyczne dotyczących przesyłu, emisji i zużycia energii oraz ograniczeń z nimi związanych. Wyniki badań symulacyjnych i eksperymentalnych potwierdzają skuteczność działania zaproponowanej optymalizacji.

Słowa kluczowe

EN

multi-objective optimization; Karush-Kuhn-Tucker; quantum genetic algorithm; hybrid power system

PL

optymalizacja wielokryterialna; Karush-Kuhn-Tucker; QGA; system energetyczny hybrydowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 3b
• Strony: 18--20
• Opis fizyczny: Bibliogr. 5 poz., tab., wykr.

Twórcy

autor

Wei Y.

• School of Economics and Management, North China Electric Power University, Beijing, 102206, China

autor

Niu D.

• School of Economics and Management, North China Electric Power University, Beijing, 102206, China

autor

Lu Y.

• School of Economics and Management, North China Electric Power University, Beijing, 102206, China

Bibliografia

• [1] Alsson M. P., Toftevaag T., Uhlen, Large scale wind power integration and voltage stability limits in regional networks, Proceedings of 2002 IEEE Power Engineering Society Summer Meeting, USA, (2002), 23-25.
• [2] Qin Z, Chen Q, Wind Power Dispatch Model Based on Constraints, Automation of Electric Power Systems, 15(2010), 71-75.
• [3] Song H, Wu J, Ji L, Multi-Objective Optimal Sizing of Stand-Alone Hybrid Wind/PV System, Transactions of China electrothchnical society, 26(2011),No.7,104-132.
• [4] Manoharan P.S., Kannan P.S., Baskar S, Evolutionary algorithm solution and KKT based optimality verification to multi-area economic dispatch, Electrical Power and Energy Systems, 31(2009),365-373.
• [5] Zhisheng Z, Quantum-behaved particle swarm optimization algorithm for economic load dispatch of power system, Expert Systems with Applications Mar, 37(2010), 1800-1803.