اراﺋﻪ ﯾﮏ روﯾﮑﺮد دو ﻣﺮﺣﻠﻪاي ﺟﺪﯾﺪ ﺟﻬﺖ ﺑﺎزﯾﺎﺑﯽ ﺧﻮدﺗﺮﻣﯿﻢ ﯾﮏ ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻫﻮﺷﻤﻨﺪ

Provide a Novel Two-Step Approach for Self-Healing Restoration of Smart Distribution Network

ﺧﻮدﺗﺮﻣﯿﻤﯽ ﺿﺮوريﺗﺮﯾﻦ وﯾﮋﮔﯽ ﺟﻬﺖ ﺑﺎزﯾﺎﺑﯽ ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻫﻮﺷﻤﻨﺪ در ﻫﻨﮕﺎم ﺑﺮوز ﺧﻄﺎ اﺳﺖ. ﺟﺰﯾﺮهﺳﺎزي ﻣﻨﻄﻘﻪ دﭼﺎر ﺧﻄﺎ را ﻣﯽﺗﻮان ﻫﻢ ﺑﻪﺻﻮرت آﻓﻼﯾﻦ و ﻫﻢ ﺑﻪﺻﻮرت آﻧﻼﯾﻦ اﻧﺠﺎم داد. ﺑﺎ اﺳﺘﻔﺎده از روش ﺟﺰﯾﺮهﺳﺎزي آﻧﻼﯾﻦ ﺑﺮاي ﺑﺎزﯾﺎﺑﯽ ﺳﺮوﯾﺲ در ﻣﻨﻄﻘﻪ ﺧﻄﺎدار، ﻣﯽﺗﻮان ﻣﺮز رﯾﺰﺷﺒﮑﻪﻫﺎي ﺟﺰﯾﺮهاي و ﺗﻌﺪاد رﯾﺰﺷﺒﮑﻪﻫﺎ را ﺑﻪﺻﻮرت ﺑﻬﯿﻨﻪ، ﺣﯿﻦ وﻗﻮع ﺧﻄﺎ ﺗﻌﯿﯿﻦ ﻧﻤﻮد. در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، ﯾﮏ روش رﯾﺎﺿﯽ دو ﻣﺮﺣﻠﻪاي ﺟﺪﯾﺪ ﺟﻬﺖ ﺑﺎزﯾﺎﺑﯽ ﺧﻮدﺗﺮﻣﯿﻤﯽ ﻫﻨﮕﺎم وﻗﻮع ﺧﻄﺎ اراﺋﻪ ﺷﺪه اﺳﺖ. در ﻻﯾﻪ اول آراﯾﺶ ﺑﻬﯿﻨﻪ ﺳﯿﺴﺘﻢ در ﻧﺎﺣﯿﻪ دﭼﺎرﺧﻄﺎ، ﺗﻮﺳﻂ ﯾﮏ ﻣﺪل رﯾﺎﺿﯽ ﺟﺪﯾﺪ ﺗﻌﯿﯿﻦ ﻣﯽﺷﻮد. ﺳﭙﺲ در ﻻﯾﻪ دوم ﻣﺴﺌﻠﻪ ﻣﺸﺎرﮐﺖ واﺣﺪﻫﺎ در ﺳﯿﺴﺘﻢ ﺗﻮزﯾﻊ ﻫﻮﺷﻤﻨﺪ ﺣﻞ ﻣﯽﺷﻮد. ﮐﺎﻫﺶ ﯾﺎ ﻗﻄﻊ ﺑﺎر ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻣﺠﺪد ﻣﻨﺎﺑﻊ ﺗﻮﻟﯿﺪ ﭘﺮاﮐﻨﺪة ﻏﯿﺮﻗﺎﺑﻞ ﺗﻮزﯾﻊ و ﺑﺮﻧﺎﻣﻪرﯾﺰي ﺑﻬﯿﻨﻪ ﺳﯿﺴﺘﻢﻫﺎي ذﺧﯿﺮهﺳﺎز اﻧﺮژي ﺗﻌﯿﯿﻦ ﻣﯽﺷﻮﻧﺪ. زﻣﺎن اﺟﺮاي ﮐﻢ و راهﺣﻞ ﺑﻬﯿﻨﻪ از ﻣﻬﻢﺗﺮﯾﻦ ﻣﺰاﯾﺎي ﻃﺮح ﭘﯿﺸﻨﻬﺎدي اﺳﺖ. اﺑﺰارﻫﺎﯾﯽ ﻣﺎﻧﻨﺪ ﮐﺎﻫﺶ ﻫﻮﺷﻤﻨﺪ ﺑﺎر و ﺑﺮﻧﺎﻣﻪﻫﺎي ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﻪ ﺗﻘﺎﺿﺎ ﻧﯿﺰ ﺟﻬﺖ ﺑﺎزﯾﺎﺑﯽ ﺑﻬﯿﻨﻪ ﺳﯿﺴﺘﻢ اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﺳﯿﺴﺘﻢ ﺗﻮزﯾﻊ 33 ﺷﯿﻨﻪ IEEE ﺑﺮاي اﻋﺘﺒﺎرﺳﻨﺠﯽ روش ﭘﯿﺸﻨﻬﺎدي اﺳﺘﻔﺎده ﻣﯽﺷﻮد. ﻧﺘﺎﯾﺞ ﻣﻄﺎﻟﻌﺎت ﻣﻮردي اﺛﺮﺑﺨﺸﯽ روش ﭘﯿﺸﻨﻬﺎدي را ﻧﺸﺎن ﻣﯽدﻫﺪ.

Self-Healing is the most essential feature for smart distribution network Restoration when a fault occurs. Islanding of the fault zone can be done both offline and online. Using the online islanding method to restoration the service in the fault zone, the boundary of islanding micro-grids and the number of islands can be determined optimally during the fault. In this study, a novel two-step mathematical method for self-healing restoration after the fault is presented. In the first layer, the optimal arrangement of the system in the faulty area is determined by a new mathematical model. In the first layer, the boundary of island-operating MGs is determined after the fault, which leads to decreasing load shedding and operation costs of the distribution system. Then, in the second layer, the unit commitment problem in the smart distribution system is solved. The load shedding or outage, non-dispatchable distributed generation (DG) resources rescheduling, and optimal planning energy storage systems (ESSs) are determined. Low execution time and the optimal solution are the most essential advantages of the pro-posed scheme. Tools such as smart load shedding and demand response Programs (DRP) have also been used for optimal system restoration. The IEEE 33-bus distribution system is used to validate the prop-osed method. The results of case studies demonstrate the effectiveness of the proposed methodology.