ﺑﺮﻧﺎﻣﻪرﯾﺰي ﺑﻬﯿﻨﻪ ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻓﻌﺎل در ﺣﻀﻮر ﻧﻘﺎط ﺑﺎز اﻧﻌﻄﺎفﭘﺬﯾﺮ و رﯾﺰﺷﺒﮑﻪﻫﺎ ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﺗﺒﺎدﻻت اﻧﺮژي و ﺗﻮان راﮐﺘﯿﻮ

Optimal Scheduling of Active Distribution Network in the Presence of Soft Open Points and Microgrids Considering Energy Transactions and Reactive Power Exchanges

در اﯾﻦ ﻣﻘﺎﻟﻪ، ﯾﮏ روش ﺑﺮﻧﺎﻣﻪرﯾﺰي ﺑﻬﯿﻨﻪ ﺑﺮاي ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻓﻌﺎل در ﺣﻀﻮر ﻧﻘﺎط ﺑﺎز اﻧﻌﻄﺎفﭘﺬﯾﺮ )SOPﻫﺎ( اراﺋﻪ ﺷﺪه اﺳﺖ. در روش ﭘﯿﺸﻨﻬﺎدي، اﻧﻮاع ﺗﺒﺎدﻻت اﻧﺮژي و ﻫﻤﭽﻨﯿﻦ دادوﺳﺘﺪ ﺗﻮان راﮐﺘﯿﻮ ﻣﯿﺎن ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻓﻌﺎل ﺑﺎ ﺷﺒﮑﻪي ﺑﺎﻻدﺳﺖ و رﯾﺰﺷﺒﮑﻪﻫﺎي ﻣﺘﺼﻞ ﺑﻪ آن ﻣﺪلﺳﺎزي ﺷﺪهاﻧﺪ. ﺑﺮﻧﺎﻣﻪرﯾﺰي در ﯾﮏ اﻓﻖ زﻣﺎﻧﯽ 24 ﺳﺎﻋﺘﻪ ﻓﺮﻣﻮلﺑﻨﺪي ﺷﺪه و در آن ﺗﻤﺎﻣﯽ ﻫﺰﯾﻨﻪﻫﺎ و درآﻣﺪﻫﺎي ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﻓﻌﺎل در ﺗﺒﺎدﻻت اﻧﺮژي، ﻣﺎﻧﻨﺪ ﻫﺰﯾﻨﻪ ﺧﺮﯾﺪ ﺗﻮان از ﺷﺒﮑﻪي ﺑﺎﻻدﺳﺖ و درآﻣﺪ ﺣﺎﺻﻞ از ﻓﺮوش ﺗﻮان ﺑﻪ آن ﻫﻤﺮاه ﺑﺎ ﻫﺰﯾﻨﻪ ﺗﻠﻔﺎت و ﻫﺰﯾﻨﻪ ﺳﻮﺧﺖ ﻣﻨﺎﺑﻊ ﺗﻮﻟﯿﺪ ﭘﺮاﮐﻨﺪه ﻣﺪل ﺷﺪهاﻧﺪ. در اﯾﻦ روش، ﻣﻌﺎدﻻت دﻗﯿﻖ ﭘﺨﺶ ﺑﺎر AC، ﻗﯿﻮد ﻋﻤﻠﮑﺮدي SOPﻫﺎ و ﻣﻨﺎﺑﻊ ﺗﻮﻟﯿﺪات ﭘﺮاﮐﻨﺪه، ﻣﺤﺪودﯾﺖﻫﺎي ﺗﺒﺎدل اﻧﺮژي ﻣﺎﻧﻨﺪ ﻣﺤﺪوﯾﺖ ﺿﺮﯾﺐ ﺗﻮان، در ﻗﺎﻟﺐ ﯾﮏ ﻣﺪل ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻋﺪد ﺻﺤﯿﺢ ﻣﺨﺘﻠﻂ ﻣﺨﺮوﻃﯽ درﺟﻪ دوم ﻣﺪلﺳﺎزي ﺷﺪهاﻧﺪ؛ ﺑﻨﺎﺑﺮاﯾﻦ اﻧﺘﻈﺎر ﻣﯽرود ﮐﻪ ﭘﺎﺳﺦ ﺑﻪ دﺳﺖ آﻣﺪه از اﯾﻦ ﻣﺪل ﻫﻤﺎن ﭘﺎﺳﺦ ﺑﻬﯿﻨﻪ ﺳﺮاﺳﺮي ﺑﺎﺷﺪ ﮐﻪ ﻣﺤﺪودﯾﺖﻫﺎي ﺑﺮﻧﺎﻣﻪرﯾﺰي را رﻋﺎﯾﺖ ﻧﻤﺎﯾﺪ. ﺑﺮاي ارزﯾﺎﺑﯽ اﯾﻦ ادﻋﺎ، ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻋﻤﻠﮑﺮدي ﺳﯿﺴﺘﻢ ﺗﻮزﯾﻊ اﺻﻼح ﺷﺪهي 33 ﺷﯿﻨﻪ IEEE ﮐﻪ ﺑﻪ دو رﯾﺰﺷﺒﮑﻪ ﻣﺘﺼﻞ ﺷﺪه در ﺳﻨﺎرﯾﻮﻫﺎي ﻣﺨﺘﻠﻒ و در ﺣﻀﻮر ﻧﻔﻮذ ﺑﺎﻻي ﻣﻨﺎﺑﻊ ﺗﺠﺪﯾﺪﭘﺬﯾﺮ ﺑﺮرﺳﯽ ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﺷﺒﯿﻪﺳﺎزي ﮐﺎراﯾﯽ ﭼﺎرﭼﻮب ﭘﯿﺸﻨﻬﺎدي را ﻧﺸﺎن ﻣﯽدﻫﺪ.

In this paper, an optimal scheduling method for an Active Distribution Network (ADN) in the presence of Soft Open Points (SOPs) is presented. In the proposed method, all types of energy transactions, as well as the reactive power exchange between the ADN and the Upstream Network (UN) and the microgrids, are modeled. Scheduling is formulated in a 24-hour time horizon in which all costs and revenues of the ADN in energy transactions, such as the cost of purchasing power from the UN and the revenue from selling power to it along with the power loss cost, and the DG's fuel cost are modeled. In this method, the exact equations of AC load flow, operational constraints of SOPs and DGs, and energy transaction constraints such as power factor limitation, are modeled in a mixed-integer second-order conic programming model. Therefore, it is expected that the obtained results are the optimal global response that meets the scheduling constraints. To evaluate this claim, the operational scheduling of the modified 33-bus IEEE distribution system connected to two microgrids in different scenarios in the presence of high penetration of renewable sources has been investigated. The simulation results show the efficiency of the proposed framework.