اراﯾﻪ ﻣﻌﻤﺎري ﺑﺮاي ﺑﺮﻧﺎﻣﻪ رﯾﺰي ﺗﻮﻟﯿﺪ در ﺑﺎزار ﺗﺠﺪﯾﺪ ﺳﺎﺧﺘﺎر ﯾﺎﻓﺘﻪ ﺑﺎ زﯾﺮﺳﺎﺧﺖ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء

An Architecture for Generation Scheduling in Deregulated Market with Internet of Things Infrastructure

ﭼﮑﯿﺪه: در اﯾﻦ ﻣﻘﺎﻟﻪ ﺳﯿﺴﺘﻢ ﻫﺎي ﺳﻨﺘﯽ ﺑﺎ ﻣﺸﮑﻼﺗﯽ ﻣﺎﻧﻨﺪ اﺗﻼف اﻧﺮژي، اﻓﺰاﯾﺶ ﺗﻘﺎﺿﺎي اﻧﺮژي، ﻗﺎﺑﻠﯿﺖ اﻃﻤﯿﻨﺎن و اﻣﻨﯿﺖ روﺑﺮو ﻫﺴﺘﻨﺪ. ﺑﻨﺎﺑﺮاﯾﻦ ﺑﺮاي ﺣﻞ اﯾﻦ ﻣﺸﮑﻼت ﺑﻪ ﺷﺒﮑﻪ ﻫﺎي ﻫﻮﺷﻤﻨﺪ )SG( ﺗﺒﺪﯾﻞ ﻣﯽ ﺷﻮﻧﺪ. SG ﻫﺎ ﯾﮏ ارﺗﺒﺎط اﻧﺮژي دو ﻃﺮﻓﻪ ﺑﯿﻦ اراﺋﻪ دﻫﻨﺪﮔﺎن ﺧﺪﻣﺎت و ﻣﺼﺮف ﮐﻨﻨﺪه ﻓﺮاﻫﻢ ﻣﯽ ﮐﻨﻨﺪ. از ﺳﻮي دﯾﮕﺮ، SG ﻫﺎ داراي دﺳﺘﮕﺎه ﻫﺎي ﻣﺨﺘﻠﻔﯽ ﺑﺮاي ﻧﻈﺎرت، ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ و ﮐﻨﺘﺮل در ﻗﺴﻤﺖ ﻫﺎي ﻣﺨﺘﻠﻒ ﺷﺒﮑﻪ ﻫﺴﺘﻨﺪ. ﺑﻨﺎﺑﺮاﯾﻦ، SG ﻫﺎ ﺑﻪ زﯾﺮﺳﺎﺧﺖ ارﺗﺒﺎﻃﯽ ﺑﯿﻦ اﯾﻦ دﺳﺘﮕﺎه ﻫﺎي ﻣﺨﺘﻠﻒ ﻧﯿﺎز دارﻧﺪ. در ﻧﺘﯿﺠﻪ، اﯾﻦ اﺗﺼﺎل ﺑﺎ زﯾﺮﺳﺎﺧﺖ ﺟﺪﯾﺪي ﻣﺎﻧﻨﺪ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء )IoT( ﺣﺎﺻﻞ ﻣﯽ ﺷﻮد. اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎ ﺑﻪ ﺳﯿﺴﺘﻢ ﻫﺎي SG ﮐﻤﮏ ﻣﯽ ﮐﻨﺪ ﺗﺎ ﻋﻤﻠﮑﺮدﻫﺎي ﻣﺨﺘﻠﻒ ﺷﺒﮑﻪ را در ﻃﻮل ﺗﻮﻟﯿﺪ، اﻧﺘﻘﺎل، ﺗﻮزﯾﻊ و ﻣﺼﺮف اﻧﺮژي ﺑﺎ اﺳﺘﻔﺎده از ﺗﺠﻬﯿﺰات اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء )ﻣﺎﻧﻨﺪ ﺳﻨﺴﻮرﻫﺎ، ﻋﻤﻠﮕﺮ ﻫﺎ و ﮐﻨﺘﻮرﻫﺎي ﻫﻮﺷﻤﻨﺪ( و ﻫﻤﭽﻨﯿﻦ ﺑﺎ اراﺋﻪ اﺗﺼﺎل، اﺗﻮﻣﺎﺳﯿﻮن و ردﯾﺎﺑﯽ را اﻧﺠﺎم دﻫﻨﺪ. در اﯾﻦ ﻣﻘﺎﻟﻪ، ﺑﺮﻧﺎﻣﻪ رﯾﺰي ﺗﻮﻟﯿﺪ در ﺑﺎزار ﺑﺮق ﺗﺠﺪﯾﺪ ﺳﺎﺧﺘﺎر ﯾﺎﻓﺘﻪ ﺑﺎ زﯾﺮﺳﺎﺧﺖ ﻫﺎي اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء ﮐﻪ در آن ﻫﺪف ﺣﺪاﮐﺜﺮﺳﺎزي ﺳﻮد ﺷﺮﮐﺖ ﻫﺎي ﺗﻮﻟﯿﺪ ﮐﻨﻨﺪه )GENCO( اﺳﺖ، ﺑﻬﯿﻨﻪ ﺷﺪه اﺳﺖ. ﺳﭙﺲ، اﯾﻦ ﻣﻘﺎﻟﻪ از ﺑﺮﻧﺎﻣﻪ ﻫﺎي ﭘﺎﺳﺦ ﺑﻪ ﺗﻘﺎﺿﺎ )DR( ﺑﺮاي ﺑﺮرﺳﯽ ﺑﻬﺘﺮ ﭼﺎﻟﺶ ﻫﺎي ﭘﯿﺶ رو در آﯾﻨﺪه SG ﻫﺎ ﺑﺎ زﯾﺮﺳﺎﺧﺖ اﯾﻨﺘﺮﻧﺖ اﺷﯿﺎء اﺳﺘﻔﺎده ﮐﺮده اﺳﺖ. ﻧﺘﺎﯾﺞ ﺑﻪ ارزﯾﺎﺑﯽ ﮐﯿﻔﯿﺖ و ﮐﺎراﯾﯽ ﭼﻨﯿﻦ ﺳﯿﺴﺘﻤﯽ ﮐﻤﮏ ﻣﯽ ﮐﻨﺪ

Traditional systems are faced with problems such as energy loss, growing in energy demand, reliability and security, so they are turning into smart grids (SGs) to solve these problems. SGs provide a bi-directional energy connection between service providers and consumer. On the other hand, SGs have various devices for monitoring, analysis and controlling in different parts of the network. Therefore, the SGs needs a communication infrastructure between these different devices. As a result, this connectivity will be achieved by a new infrastructure such as the internet of things (IoT). IoT helps SGs systems to perform various network functions throughout the generation, transmission, distribution, and consumption of energy by using IoT equipment (such as sensors, actuator, and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, the day-ahead generation scheduling is optimized in the deregulated power market with IoT infrastructure where the goal is to maximize the profit of generation companies (GENCOs). Moreover, this paper has used the demand response (DR) programs to better explore the challenges ahead in the future of SGs with IoT infrastructure. The results help to assess the quality and efficiency of such a system.