عنوان مقاله :
ﺑﻬﺮه ﺑﺮداري ﺑﻬﯿﻨﻪ ي اﺣﺘﻤﺎﻻﺗﯽ از ﻧﯿﺮوﮔﺎه ﻫﺎي ﺗﺮﮐﯿﺒﯽ ﺗﻮﻟﯿﺪ ﺑﺮق و ﺣﺮارت، ﺑﺎدي و ﺧﻮرﺷﯿﺪي
عنوان به زبان ديگر :
Optimal Stochastic Operation of CHP/WT/PV Generation Units
پديد آورندگان :
رزﻣﯽ، ﻫﺎدي داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺗﻬﺮان ﺷﺮق - ﮔﺮوه ﻣﻬﻨﺪﺳﯽ ﺑﺮق، ﺗﻬﺮان، اﯾﺮان , دﻋﺎﮔﻮي ﻣﺠﺮد، ﺣﺴﻦ داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺗﻬﺮان ﺷﺮق - ﮔﺮوه ﻣﻬﻨﺪﺳﯽ ﺑﺮق، ﺗﻬﺮان، اﯾﺮان , ﻧﯿﮑﻨﺎم، ﻃﺎﻫﺮ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ ﺷﯿﺮاز - داﻧﺸﮑﺪه ﻣﻬﻨﺪﺳﯽ ﺑﺮق، ﺷﯿﺮاز، اﯾﺮان
كليدواژه :
اﻟﮕﻮرﯾﺘﻢ ﺑﻬﯿﻨﻪ ﺳﺎزي ازدﺣﺎم ذرات ﺑﺎ ﯾﺎدﮔﯿﺮي ﺟﺎﻣﻊ , ﺑﻬﺮه ﺑﺮداري ﺑﻬﯿﻨﻪ ي اﺣﺘﻤﺎﻻﺗﯽ , روش ﺗﺨﻤﯿﻦ دوﻧﻘﻄﻪ اي
چكيده فارسي :
ﭼﮑﯿﺪه: در اﯾﻦ ﻣﻘﺎﻟﻪ، ﻣﺴﺄﻟﻪ ي ﺑﻬﺮه ﺑﺮداري ﺑﻬﯿﻨﻪ ي اﺣﺘﻤﺎﻻﺗﯽ از واﺣﺪﻫﺎي ﺣﺮارﺗﯽ، واﺣﺪﻫﺎي ﺗﻮﻟﯿﺪ ﻫﻤﺰﻣﺎن ﺑﺮق و ﺣﺮارت،ﺗﻮرﺑﯿﻦ ﻫﺎي ﺑﺎدي و واﺣﺪﻫﺎي ﺧﻮرﺷﯿﺪي ﺑﺎ ﺗﺎﺑﻊ ﻫﺪف ﮐﺎﻫﺶ ﻣﺠﻤﻮع ﻫﺰﯾﻨﻪ ﻫﺎي ﺑﻬﺮه ﺑﺮداري ﺑﻪ ﺻﻮرت ﯾﮏ ﻣﺴﺄﻟﻪ ي ﺑﻬﯿﻨﻪ ﺳﺎزي ﺗﻌﺮﯾﻒ ﺷﺪه اﺳﺖ. در اﯾﻦ ﻣﺴﺄﻟﻪ، ﻋﺪم ﻗﻄﻌﯿﺖ ﻫﺎي ﻣﻮﺟﻮد در ﺑﺎر، واﺣﺪﻫﺎي ﻓﺘﻮوﻟﺘﺎﺋﯿﮏ و ﺑﺎدي در ﻗﺎﻟﺐ ﺣﻞ روش ﺗﺨﻤﯿﻦ دوﻧﻘﻄﻪ اي در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه اﻧﺪ. ﻣﯿﺰان ﺗﻮﻟﯿﺪ ﺑﺮق و ﺣﺮارت در واﺣﺪﻫﺎي ﻣﺨﺘﻠﻒ، ﻣﻮﻗﻌﯿﺖ ﺗﭗ ﺗﺮاﻧﺴﻔﻮرﻣﺎﺗﻮرﻫﺎ و ﻣﯿﺰان ﺗﺰرﯾﻖ ﺗﻮان راﮐﺘﯿﻮ ﺗﻮﺳﻂ ﺟﺒﺮان ﺳﺎزﻫﺎي ﻣﻮازي، ﻣﺘﻐﯿﺮﻫﺎي ﮐﻨﺘﺮﻟﯽ ﻣﺴﺄﻟﻪ ي ﺑﻬﯿﻨﻪ ﺳﺎزي ﻫﺴﺘﻨﺪ. از اﻟﮕﻮرﯾﺘﻢ ﺑﻬﯿﻨﻪ ﺳﺎزي ازدﺣﺎم ذرات ﺑﺎ ﯾﺎدﮔﯿﺮي ﺟﺎﻣﻊ ﺑﺮاي ﺣﻞ اﯾﻦ ﻣﺴﺄﻟﻪ ي ﺑﻬﯿﻨﻪ ﺳﺎزي اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﺑﻪ ﻣﻨﻈﻮر ﺑﺮرﺳﯽ ﮐﺎراﯾﯽ روش ﭘﯿﺸﻨﻬﺎدي، ﺳﯿﺴﺘﻢ ﺗﺴﺖ اﺳﺘﺎﻧﺪارد 118 ﺑﺎس IEEE ﻣﺘﺸﮑﻞ از واﺣﺪﻫﺎي ﺣﺮارﺗﯽ، ﺗﻮﻟﯿﺪ ﻫﻤﺰﻣﺎن ﺑﺮق و ﺣﺮارت، ﺑﺎدي و ﺧﻮرﺷﯿﺪي اﻧﺘﺨﺎب ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﺷﺒﯿﻪ ﺳﺎزي در ﻣﺤﯿﻂ ﻧﺮم اﻓﺰار MATLAB، ﺑﺮﺗﺮي روش ﺑﻬﯿﻨﻪ ﺳﺎزي ازدﺣﺎم ذرات ﺑﺎ ﯾﺎدﮔﯿﺮي ﺟﺎﻣﻊ را در ﻣﻘﺎﯾﺴﻪ ﺑﺎ ﺳﺎﯾﺮ روش ﻫﺎي ﺑﻬﯿﻨﻪ ﺳﺎزي ﻧﺸﺎن ﻣﯽ دﻫﺪ.
چكيده لاتين :
In this paper, the problem of optimal stochastic operation of thermal units, combined heat and power (CHP) units, wind turbines (WTs) and photovoltaic (PV) units with the objective of reducing total operating costs is defined as an optimization problem. In this problem, the uncertainties in load, photovoltaic and wind units are considered in terms of solving the two-point estimation method. The amount of power and heat output in different units, the position of the transformers tap and the reactive power injection by the parallel compensators are the control variables of the optimization problem. A particle swarm optimization algorithm with comprehensive learning is used to solve this optimization problem. In order to evaluate the performance of the proposed method, the IEEE 118-bus standard test system consisting of thermal, CHP, WT and PV units is selected. The simulation results in MATLAB software environment show the superiority of the comprehensive learning particle swarm optimization method compared to other optimization methods.
عنوان نشريه :
مهندسي برق و الكترونيك ايران
