ﺗﺨﺼﯿﺺ ﺑﻬﯿﻨﻪ ﻧﯿﺮوي اﻧﺴﺎﻧﯽ و ﻣﻨﺎﺑﻊ ﺳﯿﺎر اﻧﺮژي در ﻣﺪﯾﺮﯾﺖ ﺧﻄﺎي ﺳﯿﺴﺘﻢ ﻫﺎي ﺗﻮزﯾﻊ ﻧﯿﺮوي ﺑﺮق

Optimal Allocation of Human and Mobile Energy Resources in Fault Management of Power Distribution Systems

ﭼﮑﯿﺪه: ﺑﻬﯿﻨﻪﺳﺎزي ﻣﺪﯾﺮﯾﺖ ﺧﻄﺎ در ﺷﺒﮑﻪﻫﺎي ﺗﻮزﯾﻊ ﻧﯿﺮوي ﺑﺮق ﺑﺎﻻﺧﺺ در ﺷﺮاﯾﻂ ﺑﺤﺮاﻧﯽ ﺧﻄﺎﻫﺎي ﭼﻨﺪﮔﺎﻧﻪ در اﺛﺮ ﺷﺮاﯾﻂ ﻧﺎﻣﺴﺎﻋﺪ آب و ﻫﻮاﯾﯽ ﺑﻪ ﻋﻨﻮان ﺗﻼﺷﯽ در ﺟﻬﺖ ﮐﺎﻫﺶ ﭘﯿﺎﻣﺪﻫﺎي ﻣﺨﺮب اﺟﺘﻤﺎﻋﯽ و اﻗﺘﺼﺎدي ﺧﺎﻣﻮﺷﯽﻫﺎي ﮔﺴﺘﺮده و ﻃﻮﻻﻧﯽ ﻣﺪت در ﺳﺎلﻫﺎي اﺧﯿﺮ ﻣﻮرد ﺗﻮﺟﻪ ﺑﺴﯿﺎري از ﻣﺤﻘﻘﯿﻦ اﯾﻦ ﺣﻮزه ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ. در اﯾﻦ ﻣﻘﺎﻟﻪ، ﯾﮏ ﻃﺮح ﺑﺎزﯾﺎﺑﯽ ﺑﺎر ﺑﻬﯿﻨﻪ ﺑﺎ ﺗﻤﺮﮐﺰ ﺑﺮ روي ﺑﺮﻧﺎﻣﻪرﯾﺰي اﻋﺰام ﺗﯿﻢﻫﺎي ﺗﻌﻤﯿﺮ و ﻋﻤﻠﯿﺎت و ﻫﻤﺎﻫﻨﮕﯽ ﺳﯿﺴﺘﻢ اﺗﻮﻣﺎﺳﯿﻮن و اﻋﺰام ﻣﻨﺎﺑﻊ ﺗﻮﻟﯿﺪ ﺗﻮان ﺳﯿﺎر ﺑﺎ ﻋﻤﻠﯿﺎت اﯾﻦ ﺗﯿﻢﻫﺎ اراﺋﻪ ﺷﺪه اﺳﺖ. ﻣﺪل اراﺋﻪ ﺷﺪه اﻗﺪاﻣﺎت اﺻﻼﺣﯽ را در ﺟﻬﺖ ﮐﺎﻫﺶ ﺧﺎﻣﻮﺷﯽ ﻣﺸﺘﺮﮐﯿﻦ در ﺿﻤﻦ ﺣﻔﻆ ﻗﯿﻮد ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ ﺷﺎﻣﻞ ﺣﻔﻆ ﺳﺎﺧﺘﺎر ﺷﻌﺎﻋﯽ، رﻋﺎﯾﺖ ﻣﺤﺪوده ﻣﺠﺎز وﻟﺘﺎژ و ﺣﺪود ﺣﺮارﺗﯽ ﻫﺎديﻫﺎي ﺷﺒﮑﻪ ﻃﺮحرﯾﺰي ﻣﯽﮐﻨﺪ. رواﺑﻂ رﯾﺎﺿﯽ اﯾﻦ ﻣﺪل در ﭼﻬﺎرﭼﻮب ﻣﺴﺄﻟﻪ ﺧﻄﯽ-ﻋﺪد ﺻﺤﯿﺢ )MILP( اراﺋﻪ ﺷﺪه اﺳﺖ. در ﻧﺘﺎﯾﺞ ﻋﺪدي اﯾﻦ ﻣﻘﺎﻟﻪ، ﺑﻪ ﻣﻨﻈﻮر ارزﯾﺎﺑﯽ ﻋﻤﻠﮑﺮد ﻣﺪل ﭘﯿﺸﻨﻬﺎدي، ﺷﺒﮑﻪ 69 ﺑﺎﺳﻪ IEEE در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﻋﺪدي ﺑﻪ دﺳﺖ آﻣﺪه ﮐﺎرآﯾﯽ ﻣﺪل را در ﺗﺼﻤﯿﻢﮔﯿﺮي ﺑﻬﯿﻨﻪ در ﺷﺮاﯾﻂ ﺧﻄﺎ ﺗﺼﺪﯾﻖ ﻣﯽﮐﻨﺪ.

Fault management optimization in electrical distribution networks especially in critical situations of multiple faults due to adverse weather conditions as an attempt to reduce the destructive social and economic consequences of extensive and long network blackouts in recent years has attracted the attention of researchers in this field. In this paper, an optimal load restoration with the focus on planning the dispatch of repair and operation crews and coordinating the automation system and mobile power generation resources with the operations of these crews is presented. The proposed model designs remedial actions to reduce customer outages while maintaining network operational constraints, including radial structure, allowable voltage range, and the thermal limits of network conductors. The mathematical formulations of the proposed model are stated in the framework of the mixed-integer linear problem (MILP). In the numerical results of this paper, in order to evaluate performance of the model, IEEE 69-bus network is employed. The obtained numerical results confirm the efficiency of the model in optimal decision making in fault situations.