ﻣﺪﯾﺮﯾﺖ ﺑﺎر و اﻧﺮژي دو ﻫﺪﻓﻪ ﯾﮏ ﻫﺎب اﻧﺮژي ﺑﺎ در ﻧﻈﺮﮔﯿﺮي ﺑﺮﻧﺎﻣﻪرﯾﺰيﻫﺎي ﮔﻮﻧﺎﮔﻮن و در ﺣﻀﻮر ﻓﻨﺎوري CCUS و ﺑﺮﻧﺎﻣﻪ TOU

Dual-Objectives Energy and Load Management for an Energy Hub by Considering Diverse Plannings and in the Presence of CCUS Technology and the TOU Program

اﯾﻦ ﻣﻘﺎﻟﻪ ﯾﮏ ﻣﺪﯾﺮﯾﺖ اﻧﺮژي و ﺑﺎر ﺑﺎ اﺳﺘﻔﺎده از ﯾﮏ اﺳﺘﺮاﺗﮋي ﺳﻨﺎرﯾﻮ ﻣﺤﻮر را ﺑﺮاي ارزﯾﺎﺑﯽ ﻋﻤﻠﮑﺮد و ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻫﺎب و ﺑﺎ در ﻧﻈﺮﮔﯿﺮي ﻋﻮاﻣﻞ ﻧﺎﻣﻌﯿﻨﯽ )ﻗﯿﻤﺖ اﻟﮑﺘﺮﯾﺴﯿﺘﻪ و ﺗﻮان ﺗﻮرﺑﯿﻦ ﺑﺎدي( اراﺋﻪ ﻧﻤﻮده اﺳﺖ. ﺳﯿﺴﺘﻢ ﺟﺬب و ذﺧﯿﺮهﺳﺎزي ﮐﺮﺑﻦ و ﻧﯿﺰ ﺑﺮﻧﺎﻣﻪ ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر، ﺑﻪﻃﻮر وﯾﮋه ﺑﺮﻧﺎﻣﻪ زﻣﺎن اﺳﺘﻔﺎده ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ. ﻓﻨﺎوري ﺟﺬب ﮐﺮﺑﻦ اﻓﺰون ﺑﺮ ﺣﻞ ﻣﺴﺌﻠﻪ آﻟﻮدﮔﯽ واﺣﺪﻫﺎي ﺗﻮﻟﯿﺪي از ﯾﮑﺴﻮ، درآﻣﺪ ﻗﺎﺑﻞ ﺗﻮﺟﻪ را ﻧﯿﺰ ﺑﺮاي ﺳﯿﺴﺘﻢﻫﺎي ﻗﺪرت از ﺳﻮﯾﯽ دﯾﮕﺮ ﺑﻪ ارﻣﻐﺎن ﻣﯽآورد. ﻫﻤﭽﻨﯿﻦ ﺑﺮﻧﺎﻣﻪﻫﺎي ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر ﺑﻪ ﺑﻬﺒﻮد ﭘﺮوﻓﯿﻞ ﺑﺎر و ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎ و آﻟﻮدﮔﯽ ﻫﺎب، اﻓﺰاﯾﺶ ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن و ﮐﯿﻔﯿﺖ ﺗﻮان ﮐﻤﮏ ﺷﺎﯾﺎﻧﯽ ﻣﯽﻧﻤﺎﯾﻨﺪ. ﻫﺎب ﭘﯿﺸﻨﻬﺎدي در ﺑﺮﮔﯿﺮﻧﺪه ادوات ﺗﻮﻟﯿﺪي ﺗﺠﺪﯾﺪﭘﺬﯾﺮ و ﺗﺠﺪﯾﺪﻧﺎﭘﺬﯾﺮ، ﺗﺒﺪﯾﻠﯽ و ذﺧﯿﺮهﮐﻨﻨﺪهﻫﺎي ﮔﻮﻧﺎﮔﻮن اﺳﺖ، ﻫﻤﭽﻨﯿﻦ ﺑﺮﻧﺎﻣﻪرﯾﺰيﻫﺎﯾﯽ ﻣﺎﻧﻨﺪ ﻧﻮع ﻗﻄﻌﯽ و ﻣﻘﺎوم در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه اﺳﺖ. ﻫﺎب ﻣﻔﺮوض در ﻗﺴﻤﺖ ورودي و ﺧﺮوﺟﯽ از ﺣﺎﻣﻞﻫﺎي ﮔﻮﻧﺎﮔﻮن اﻧﺮژي ﺷﺎﻣﻞ اﻟﮑﺘﺮﯾﺴﯿﺘﻪ، ﺣﺮارت، ﺳﺮﻣﺎ، ﮔﺎز ﻃﺒﯿﻌﯽ و آب ﭘﺸﺘﯿﺒﺎﻧﯽ ﻣﯽﮐﻨﺪ. ﻣﺴﺌﻠﻪ ﺑﻪﺻﻮرت ﯾﮏ ﺑﺮﻧﺎﻣﻪرﯾﺰي ﺧﻄﯽ ﻋﺪد ﺻﺤﯿﺢ ﻣﺪل ﺷﺪه و ﺑﻪوﺳﯿﻠﻪ ﺳﺎﻟﻮر ﺳﯿﭙﻠﮑﺲ در ﻧﺮماﻓﺰار ﮔﻤﺰ ﺣﻞ ﮔﺮدﯾﺪه اﺳﺖ. در اداﻣﻪ، از روش اﭘﺴﯿﻠﻮن و ﺗﮑﻨﯿﮏ رﺿﺎﯾﺖﺑﺨﺸﯽ ﻓﺎزي ﺟﻬﺖ اﻧﺘﺨﺎب راهﺣﻞ ﺑﻬﯿﻨﻪ اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﻧﻬﺎﯾﯽ ﻧﺸﺎن ﻣﯽدﻫﺪ ﮐﻪ ﻫﺰﯾﻨﻪ و آﻟﻮدﮔﯽ ﮐﻠﯽ در ﻧﻤﻮﻧﻪ ﻣﻘﺎوم ﺑﻪﺗﺮﺗﯿﺐ ﺑﻪاﻧﺪازه 1/9 درﺻﺪ و 12/3 درﺻﺪ ﺑﯿﺸﺘﺮ از ﻧﻤﻮﻧﻪ ﻗﻄﻌﯽ اﺳﺖ، ﻫﻤﭽﻨﯿﻦ ﺑﺮﻧﺎﻣﻪ ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر و ﻓﻨﺎوري ﺟﺬب ﮐﺮﺑﻦ ﺗﺄﺛﯿﺮ ﭼﺸﻢﮔﯿﺮي ﺑﺮ روي ﺗﺎﺑﻊﻫﺎي ﻫﺪف دارﻧﺪ. ﻫﻤﭽﻨﯿﻦ ﻣﻨﺤﻨﯽ ﺑﺎر ﻣﺴﻄﺢ ﮔﺮدﯾﺪه و ﺳﻮد ﺧﻮﺑﯽ ﺑﺎ اﺳﺘﻔﺎده از ﻓﻨﺎوري ﺟﺬب ﮐﺮﺑﻦ ﺑﺮاي ﻫﺎب ﭘﯿﺸﻨﻬﺎدي ﺑﻪدﺳﺖ آﻣﺪه اﺳﺖ.

This paper presents energy and load management by using a scenario-based assessment strategy for the optimal scheduling of a proposed hub by considering uncertain parameters (electricity price and wind turbine output power). Carbon capture utilization and storage (CCUS) technology and demand response programs (DRP), especially the time of use (TOU) program are investigated. Carbon technology helps to overcome pollution issues, on the one hand, and earn revenue for the power system, on the other hand. Also, the demand response programs help to reduce costs and pollution, make the load curve flatter, increase the reliability and power quality of the network. The proposed energy hub consists of various renewable and non-renewable distributed energy resources, as well different planning horizons, include deterministic and robust ones. The presented hub consists of diverse energy sectors like electricity, heat, cooling, gas, and water at the input and output sections. The problem is then modeled as a MILP and solved using the CPLEX solver in GAMS software. Epsilon constraint method with the fuzzy satisfying approach is used to obtain and select the best solution. The final results show that the cost and the pollution in the robust planning experience the increment by about 12.3% and 1.9% respectively in comparison to deterministic, as well, demand response programs and CCUS technology are had a significant impact on the objective functions. In addition, the load curve has become flatter and the reward by using a carbon system is obtained for the hub.