ﻣﺪﯾﺮﯾﺖ اﻧﺮژي ﺷﺒﮑﻪﻫﺎي ﺗﻮزﯾﻊ در ﺣﻀﻮر ﺧﺎﻧﻪﻫﺎي ﻫﻮﺷﻤﻨﺪ، ﻣﻨﺎﺑﻊ اﻧﺮژي ﺗﺠﺪﯾﺪﭘﺬﯾﺮ و ﺑﺮﻧﺎﻣﻪﻫﺎي ﭘﺎﺳﺨﮕﻮﯾﯽ ﺑﺎر ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﻋﺪم ﻗﻄﻌﯿﺖﻫﺎ

Distribution Systems Energy Management in the presence of Smart Homes, Renewable Energy Resources and Demand Response Programs by Considering Uncertainties

در اﯾﻦ ﻣﻘﺎﻟﻪ، ﯾﮏ ﻣﺪل ﻣﺪﯾﺮﯾﺖ اﻧﺮژي ﺟﺎﻣﻊ ﺑﻪﻣﻨﻈﻮر ﺑﻬﺮهﺑﺮداري از ﯾﮏ ﺳﯿﺴﺘﻢ ﺗﻮزﯾﻊ 33 ﺷﯿﻨﻪ ﺷﻌﺎﻋﯽ اﺻﻼح ﺷﺪه، ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﺧﺎﻧﻪﻫﺎي ﻫﻮﺷﻤﻨﺪ اراﺋﻪ ﺷﺪه اﺳﺖ. در ﻣﺪل ﭘﯿﺸﻨﻬﺎدي ﻣﺸﺘﺮﮐﯿﻦ ﺧﺎﻧﻪﻫﺎي ﻫﻮﺷﻤﻨﺪ ﻗﺎدر ﺑﻪ ﻣﺸﺎرﮐﺖ در ﯾﮏ ﺑﺮﻧﺎﻣﻪ ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر )DR( ﺑﻮده و ﺷﺎﺧﺺ رﻓﺎه ﻣﺸﺘﺮﮐﯿﻦ ﺑﻪﻋﻨﻮان ﯾﮏ ﻗﯿﺪ اﺻﻠﯽ در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه اﺳﺖ. ﻫﻤﭽﻨﯿﻦ در ﻣﺪل ﻣﺬﮐﻮر ﻋﺪم ﻗﻄﻌﯿﺖﻫﺎي ﻣﯿﺰان ﺗﻘﺎﺿﺎي ﺑﺎر، ﻣﯿﺰان ﺗﻮﻟﯿﺪ ﻣﻨﺎﺑﻊ ﺗﺠﺪﯾﺪﭘﺬﯾﺮ و ﻫﻤﭽﻨﯿﻦ ﻗﯿﻤﺖ ﺑﺮق در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪهاﻧﺪ. ﺟﻬﺖ ﺗﻮﻟﯿﺪ ﺳﻨﺎرﯾﻮﻫﺎ از روش ﺷﺒﯿﻪﺳﺎزي ﻣﻮﻧﺖ ﮐﺎرﻟﻮ و ﺟﻬﺖ ﮐﺎﻫﺶ ﺗﻌﺪاد آﻧﻬﺎ ﻧﯿﺰ از اﻟﮕﻮرﯾﺘﻢ ScenRed اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﺑﻪﻣﻨﻈﻮر ﻧﺰدﯾﮑﯽ ﺷﺮاﯾﻂ ﺷﺒﯿﻪﺳﺎزي ﺑﻪ ﺷﺮاﯾﻂ ﺑﻬﺮهﺑﺮداري واﻗﻌﯽ، در ﻣﺪل ﺗﻐﯿﯿﺮات ﺗﻘﺎﺿﺎ و ﺗﻮﻟﯿﺪ ﻓﺼﻠﯽ در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه و ﻣﺴﺌﻠﻪ ﺑﻬﺮهﺑﺮداري ﺑﻪﺻﻮرت ﭼﻬﺎر ﻓﺼﻞ ﺣﻞ ﻣﯽﺷﻮد. ﻫﻤﭽﻨﯿﻦ از ﯾﮏ ﺑﺮﻧﺎﻣﻪ ﭘﺨﺶ ﺑﺎر AC ﺧﻄﯽ ﺷﺪه در اﯾﻦ ﻣﺪل، اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﻣﺴﺌﻠﻪ ﻧﻬﺎﯾﯽ ﺑﻪﺻﻮرت ﯾﮏ ﻣﺴﺌﻠﻪ ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻋﺪد ﺻﺤﯿﺢ ﻣﺨﺘﻠﻂ ﻣﺪل ﺷﺪه و ﺗﻮﺳﻂ ﺣﻞﮐﻨﻨﺪه CPLEX در ﻧﺮماﻓﺰار ﮔﻤﺰ ﺣﻞ ﺷﺪه اﺳﺖ. ﻧﺘﺎﯾﺞ ﺷﺒﯿﻪﺳﺎزي ﻧﺸﺎن ﻣﯽدﻫﻨﺪ ﮐﻪ ﻣﺪل ﭘﯿﺸﻨﻬﺎدي، ﯾﮏ ﻣﺪل ﺟﺎﻣﻊ ﺑﺮاي ﺑﻬﺮهﺑﺮداري از ﺳﯿﺴﺘﻢﻫﺎي ﺗﻮزﯾﻊ در ﺣﻀﻮر ﺧﺎﻧﻪﻫﺎي ﻫﻮﺷﻤﻨﺪ اﺳﺖ، ﮐﻪ ﻧﻪ ﺗﻨﻬﺎ ﻣﻨﺠﺮ ﺑﻪ ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎي ﺑﻬﺮهﺑﺮداري ﻣﯽﺷﻮد، ﺑﻠﮑﻪ ﺷﺎﺧﺺ رﻓﺎه ﻣﺸﺘﺮﮐﯿﻦ را ﻧﯿﺰ اﻓﺰاﯾﺶ ﻣﯽدﻫﺪ.

In this paper, a comprehensive energy management model is proposed in order to the operation of a modified 33-radial bus distribution system, in the presence of smart homes. In the proposed model, smart home customers are able to participate in a demand response (DR) program and their comfort index is also considered as the main constraint. The model also considers uncertainties related to the load demand, the generation of renewable energy resources, and electricity price. The Monte Carlo simulation method and the ScenRed tool are utilized to generate and reduce the scenarios, respectively. In order to mimic the actual operating conditions, in the simulation, the seasonal variations of load and generation are considered and the operation problem is solved for four seasons. A linear ac power flow is also used in the model. Finally, the problem is modeled as a mixed-integer linear programming (MILP) problem and solved by the CPLEX solver in GAMS software. The simulation results demonstrate that the model proposed in this study is a comprehensive framework for the operation of distribution systems in the presence of smart homes, which not only reduces operating costs but also increases the consumers’ comfort index.