Optimization Hydro-Thermal-Wind-PV Solar Using MOPSO Algorithm Applied to Economic/Environmental Dispatch

被引：1

作者：

Marouani, Ismail ^{[1
]}

Dhifaoui, Chefai ^{[1
]}

Abdallah, Hsan Hadj ^{[1
]}

机构：

[1] ENIS Sfax, Natl Engn Sch Sfax, Control & Energies Management CEM Lab, Sfax, Tunisia

来源：

BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS | 2021年 / 14卷 / 05期

关键词：

ECONOMIC EMISSION DISPATSPATCH PROBLEM; RAMP RATE; SOLAR POWER; ENERGY STORAGE; WIND POWER; HYDRO PLANT; MOPSO; POWER SYSTEMS; TRANSMISSION LOSSES; VALVEVALVE POINT EFFECT; DIFFERENTIAL EVOLUTION; ECONOMIC-DISPATCH;

D O I：

10.21786/bbrc/14.5/23

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The purpose in this present work exposure the application of MOPSO multiple-objective particle swarm optimization algorithm to solver dynamic economic emission dispatch problems with ramp rate. The proposed MOPSO algorithm is applied in economic emission dispatch to fin the best solutions of hydro plant, thermal units, wind and PV solar generation scheduling powers and then calculate the cost, emission functions for SOx and NOx gas pollution, and combined the three function. The dynamic economic emission distribution (DEED) is an important subject in electrical power systems network. This consists of a valve point effect(VPE), transmission powers losses, a load, an equilibration power system and generator constraints. The proposed algorithm was exanimate on ten unit test power systems. All simulations results are thorough on the MATLAB-Simulinck space.

引用

页码：118 / 125

页数：8

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