عنوان مقاله :
ﻣﺪﯾﺮﯾﺖ ﻓﻨﯽ و اﻗﺘﺼﺎدي ﺗﻮزﯾﻊ اﻧﺮژي ﺟﻬﺖ ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎي ﺷﺎرژ و ﮐﺎﻫﺶ ﺗﻠﻔﺎت ﺑﺎ اﺳﺘﻔﺎده از روش ﻫﻮﺷﻤﻨﺪ ﺷﺎرژ ﺧﻮدروي ﺑﺮﻗﯽ
عنوان به زبان ديگر :
Technical and Economic Management of Energy Distribution to Reduce Charging Costs and Reduction
پديد آورندگان :
ﺳﻌﯿﺪيراد، ﻣﯿﺜﻢ داﻧﺸﮕﺎه آزاد اﺳﻼﻣﯽ واﺣﺪ ﺧﺮم آﺑﺎد - داﻧﺸﮑﺪه ﻣﻬﻨﺪﺳﯽ ﺑﺮق، ﺧﺮم آﺑﺎد، اﯾﺮان , ركرك، اﺳﻤﺎﻋﯿﻞ داﻧﺸﮕﺎه ﻟﺮﺳﺘﺎن - داﻧﺸﮑﺪه ﻓﻨﯽ ﻣﻬﻨﺪﺳﯽ، ﺧﺮم آﺑﺎد، ﻟﺮﺳﺘﺎن، اﯾﺮان , ﺟﻮراﺑﯿﺎن، ﻣﺤﻤﻮد داﻧﺸﮕﺎه ﺷﻬﯿﺪ ﭼﻤﺮان اﻫﻮاز - داﻧﺸﮑﺪه ﻓﻨﯽ ﻣﻬﻨﺪﺳﯽ، اﻫﻮاز، ﺧﻮزﺳﺘﺎن، اﯾﺮان
كليدواژه :
اﻧﺮژي اﻟﮑﺘﺮﯾﮑﯽ , ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ ﺗﻮزﯾﻊ , ﻣﺪﯾﺮﯾﺖ اﻧﺮژي ﻣﻨﺎزل , ﻣﺪﯾﺮﯾﺖ ﺷﺎرژ ﺧﻮدروي ﺑﺮﻗﯽ
چكيده فارسي :
ﻣﺪﯾﺮﯾﺖ ﺻﺤﯿﺢ اﻧﺮژي اﻟﮑﺘﺮﯾﮑﯽ در ﺷﺒﮑﻪ ﺗﻮزﯾﻊ ﺑﺮق از اﺻﻠﯽﺗﺮﯾﻦ ﻣﻮﺿﻮعﻫﺎي ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ ﺑﻪﺷﻤﺎر ﻣﯽآﯾﺪ ﮐﻪ ﺗﺄﺛﯿﺮ ﺑﺎﻻي ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎي ﺑﻬﺮهﺑﺮداري، ﮐﺎﻫﺶ ﺗﻠﻔﺎت ﺷﺒﮑﻪ، اﻓﺰاﯾﺶ ﮐﯿﻔﯿﺖ ﺑﻪروزرﺳﺎﻧﯽ، اﻓﺰاﯾﺶ رﺿﺎﯾﺖ ﻣﺸﺘﺮﮐﯿﻦ و ... ﻣﯽ-ﺗﻮاﻧﺪ داﺷﺘﻪ ﺑﺎﺷﺪ. دﺳﺘﺮﺳﯽ ﺑﻪ اﯾﻦ اﻫﺪاف زﻣﺎﻧﯽ اﻣﮑﺎنﭘﺬﯾﺮ اﺳﺖ ﮐﻪ ارﮐﺎن ﺷﺒﮑﻪ ﺗﻮزﯾﻊ در ﻫﻤﺎﻫﻨﮕﯽ و آﮔﺎﻫﯽ از ﯾﮑﺪﯾﮕﺮ ﻋﻤﻞ ﻧﻤﺎﯾﻨﺪ. در اﯾﻦ ﻣﻘﺎﻟﻪ اﯾﻦ آﮔﺎﻫﯽ ﻣﯿﺎن ﻣﺸﺘﺮﮐﯿﻦ ﺧﺎﻧﮕﯽ، ﭘﺎرﮐﯿﻨﮓﻫﺎي ﺷﺎرژ ﺧﻮدرو و ﺷﺮﮐﺖ ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه اﺳﺖ و ﻣﺰاﯾﺎي آن ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار داده ﺷﺪه اﺳﺖ. ﯾﮏ ﻣﺪل دو ﻣﺮﺣﻠﻪاي از ﻣﺪﯾﺮﯾﺖ اﻧﺮژي در ﺷﺒﮑﻪ ﺗﻮزﯾﻊ اراﺋﻪ ﺷﺪه اﺳﺖ ﮐﻪ ﻣﺮﺣﻠﻪ اول آن ﻣﺮﺑﻮط ﺑﻪ ﻣﺪﯾﺮﯾﺖ اﻧﺮژي ﻣﻨﺎزل در ﺷﺮاﯾﻂ ﺣﻀﻮر ﯾﺎ ﻏﯿﺎب ﺑﺮﻧﺎﻣﻪ ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر ﺑﺎ در ﻧﻈﺮﮔﯿﺮي ﺳﻠﯿﻘﻪ-ﻫﺎي ﺷﺨﺼﯽ ﻣﺸﺘﺮﮐﯿﻦ اﻧﺠﺎم ﻣﯽﺷﻮد ﺗﺎ ﻧﺘﺎﯾﺞ ﺑﻪ دﻧﯿﺎي واﻗﻌﯽ ﻧﺰدﯾﮏ ﺑﺎﺷﺪ. ﺳﭙﺲ ﺑﺮ اﺳﺎس اﻃﻼﻋﺎت ارﺳﺎﻟﯽ از اﯾﻦ ﻣﺸﺘﺮﮐﯿﻦ و ﺗﻌﯿﯿﻦ ﭘﺮوﻓﯿﻞ ﺑﺎر ﻣﺴﮑﻮﻧﯽ ﺷﺒﮑﻪ، ﺑﻬﺮهﺑﺮداران ﭘﺎرﮐﯿﻨﮓ ﺷﺎرژ ﺧﻮدروي ﺑﺮﻗﯽ ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻣﺤﺪودﯾﺖ ﺧﻮد اﻗﺪام ﺑﻪ ﻣﺪﯾﺮﯾﺖ ﺧﻮدروي ﺑﺮﻗﯽ ﻣﯽﮐﻨﺪ ﺗﺎ ﻫﻢ ﻫﺰﯾﻨﻪﻫﺎي ﺷﺎرژ و ﻫﻢ ﭘﺎراﻣﺘﺮﻫﺎي ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ ﺑﻬﺒﻮد ﯾﺎﺑﺪ. ﺑﺮﺧﻼف روشﻫﺎي ﺳﻨﺘﯽ ﺷﺎرژ، در اﯾﻦ روش ﻧﯿﺎزي ﺑﻪ ﺷﺎرژ ﮐﺎﻣﻞ ﺑﺎﺗﺮي ﺧﻮدروﻫﺎ ﻧﺒﻮده و ﺻﺮﻓﺎً ﺣﺪ ﻧﻬﺎﯾﯽ ﺳﻄﺢ ﺷﺎرژ ﺑﺎﺗﺮيﻫﺎ ﺑﺮﺣﺴﺐ اﻧﺮژي ﻣﻮردﻧﯿﺎز ﺑﺮاي ﺳﻔﺮﻫﺎي آﺗﯽ راﻧﻨﺪﮔﺎن ﺗﻌﯿﯿﻦ ﺧﻮاﻫﺪ ﺷﺪ و ﺑﺎ اﺳﺘﻔﺎده از ﻧﺮخ ﺷﺎرژ ﮔﺴﺴﺘﻪ ﻋﻤﻠﯿﺎت ﺷﺎرژ ﺻﻮرت ﺧﻮاﻫﺪ ﮔﺮﻓﺖ. ﻧﺘﺎﯾﺞ ﺣﺎﺻﻞ از ﺑﺮرﺳﯽ ﻣﻮردﻫﺎي ﻣﻄﺎﻟﻌﺎﺗﯽ ﻣﺨﺘﻠﻒ اﻋﻤﺎلﺷﺪه ﺑﺮ ﯾﮏ ﺷﺒﮑﻪ ﺗﻮزﯾﻊ 37 ﺑﺎس ﻧﺸﺎن ﻣﯽدﻫﺪ ﮐﻪ روش ﭘﯿﺸﻨﻬﺎدي ﺗﻮاﻧﻤﻨﺪي ﺑﺎﻻﯾﯽ در ﺗﺄﻣﯿﻦ رﺿﺎﯾﺖ ﻣﺸﺘﺮﮐﯿﻦ، ﺑﻬﺒﻮد ﭘﺎراﻣﺘﺮﻫﺎي ﺑﻬﺮهﺑﺮداري ﺷﺒﮑﻪ و ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎي ﺷﺎرژ و ﺗﺄﻣﯿﻦ ﻧﯿﺎز راﻧﻨﺪﮔﺎن ﺧﻮدرو ﺧﻮاﻫﺪ داﺷﺖ. اﯾﻦ روش ﻣﯽﺗﻮاﻧﺪ زﻣﯿﻨﻪﺳﺎز ﮔﺴﺘﺮش ﺳﻄﺢ ﻧﻔﻮذ ﺧﻮدروﻫﺎي در ﺷﺒﮑﻪﻫﺎي ﺗﻮزﯾﻊ ﺷﻮد و از ﻣﺰاﯾﺎي ﺑﺮﻧﺎﻣﻪ ﭘﺎﺳﺦﮔﻮﯾﯽ ﺑﺎر و ﺷﺎرژ ﻫﻮﺷﻤﻨﺪ ﻧﻬﺎﯾﺖ ﺑﻬﺮهوري را ﺑﺒﺮد.
چكيده لاتين :
Proper management of electrical energy in the electricity distribution network is one of the main issues of network operation that high impact of reducing operating costs, reducing network losses, increasing the quality of updates, increasing customer satisfaction and etc. can have achieving these goals is possible when the elements of the distribution network act in coordination and awareness of each other. This paper considers this awareness among home subscribers, car charging parking lots and the network operating company has been taken and its benefits have been explored. A two-stage model of energy management in the distribution network is presented. The first stage is related to home energy management in the presence or absence of a load response program, taking into account tastes. Subscribers' personalization is done to bring the results closer to the real world then based on the information sent from these subscribers and determining the residential load profile of the network, electric car charging parking operators to manage according to their limitations electric vehicle to improve both charging costs and network operation parameters. Unlike traditional charging methods, in this method does not require a full charge of car batteries and only the final limit of the battery charge level in terms of energy required for drivers' future trips will be determined, and charging operations will be performed using the discrete charge rate. The results of a review of various case studies applied to a 37-bus distribution network shows that the proposed method has a high capability. In providing customer satisfaction, improving network operation parameters and reducing charging costs and meeting the needs of car drivers will had. This method can pave the way for expanding the level of vehicle penetration in distribution networks and the benefits of the load response program and smart charging maximizes productivity.
عنوان نشريه :
روشهاي هوشمند در صنعت برق