Expected Cost Minimization of Smart Grids With Plug-In Hybrid Electric Vehicles Using Optimal Distribution Feeder Reconfiguration
Stochastic charging behavior of plug-in hybrid electric vehicles (PHEVs) under different charging strategies brings new challenges for distribution networks such as feeder overloading and loss increase. In this way, the augmented penetration of these vehicles mandates employing new operative tools t...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2015-04, Vol.11 (2), p.388-397 |
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| creator | Rostami, Mohammad-Ali Kavousi-Fard, Abdollah Niknam, Taher |
| description | Stochastic charging behavior of plug-in hybrid electric vehicles (PHEVs) under different charging strategies brings new challenges for distribution networks such as feeder overloading and loss increase. In this way, the augmented penetration of these vehicles mandates employing new operative tools to inspect their impacts on electrical grids. Therefore, this paper proposes a novel optimal stochastic reconfiguration methodology to moderate the charging effect of PHEVs by changing the topology of grid using some remote controlled switches. Uncertainties associated with network demand, energy price, and PHEV charging behavior in different charging frameworks are handled with Monte Carlo simulation and the proposed stochastic problem is solved with krill herd optimization algorithm. Numerical studies on Tai-power distribution system verify the efficacy of proposed reconfiguration to improve the system performance considering PHEV charging loads. |
| doi_str_mv | 10.1109/TII.2015.2395957 |
| format | Article |
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In this way, the augmented penetration of these vehicles mandates employing new operative tools to inspect their impacts on electrical grids. Therefore, this paper proposes a novel optimal stochastic reconfiguration methodology to moderate the charging effect of PHEVs by changing the topology of grid using some remote controlled switches. Uncertainties associated with network demand, energy price, and PHEV charging behavior in different charging frameworks are handled with Monte Carlo simulation and the proposed stochastic problem is solved with krill herd optimization algorithm. 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Numerical studies on Tai-power distribution system verify the efficacy of proposed reconfiguration to improve the system performance considering PHEV charging loads.</description><subject>Batteries</subject><subject>Charging</subject><subject>Computer simulation</subject><subject>Distribution Feeder Reconfiguration (DFR)</subject><subject>Hybrid vehicles</subject><subject>Krill Herd Optimization Algorithm (KHOA)</subject><subject>Linear programming</subject><subject>Networks</subject><subject>Optimization</subject><subject>Plug-in Hybrid Electric Vehicle (PHEV)</subject><subject>Reconfiguration</subject><subject>Smart Charging</subject><subject>Sociology</subject><subject>Statistics</subject><subject>Stochastic Optimization</subject><subject>Stochasticity</subject><subject>Switches</subject><subject>Switching theory</subject><subject>Vehicles</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkb1PwzAQxSMEEqWwI7FYYmFJsWM7sUdU-iUVFUELY5Q459ZVmhQ7kSgb_zluixiY7nT-vbOfXxBcE9wjBMv7-WTSizDhvYhKLnlyEnSIZCTEmONT33NOQhpheh5cOLfGmCaYyk7wPfjcgmqgQP3aNejJVGZjvrLG1BWqNXrdZLZBI2sKh95Ns0LPZbsMJxUa73I_RIPSi61R6A1WRpXg0MKZaolm28ZsshI9GueP8_awbwhQgEUvoOpKm2VrD9dcBmc6Kx1c_dZusBgO5v1xOJ2NJv2HaahoxJqwiAQDnngHKqYaaKS0EFwwmoBgscxlIfPYz3Kpcy1UrokUEueasyIGHAvaDe6Oe7e2_mjBNenGOAVlmVVQty4lcSIwkTSJPHr7D13Xra386zwluP9XxvYUPlLK1s5Z0OnWetN2lxKc7jNJfSbpPpP0NxMvuTlKDAD84QkmQrKE_gDhDYjH</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Rostami, Mohammad-Ali</creator><creator>Kavousi-Fard, Abdollah</creator><creator>Niknam, Taher</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Batteries Charging Computer simulation Distribution Feeder Reconfiguration (DFR) Hybrid vehicles Krill Herd Optimization Algorithm (KHOA) Linear programming Networks Optimization Plug-in Hybrid Electric Vehicle (PHEV) Reconfiguration Smart Charging Sociology Statistics Stochastic Optimization Stochasticity Switches Switching theory Vehicles |
| title | Expected Cost Minimization of Smart Grids With Plug-In Hybrid Electric Vehicles Using Optimal Distribution Feeder Reconfiguration |
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