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Content Provider | IET Digital Library |
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Author | Singh, Amit Jha, Bablesh Kumar Singh, Devender Misra, Rakesh K. |
Abstract | Optimisation of cost and load flattening for a distribution network is attempted in this work. The objective function is described in terms of energy cost, C O 2 emissions, real power losses, and load flattening. The solution is envisaged in terms of hourly scheduling of distributed generations (DGs), distributed battery energy storage systems (D-BESSs), and plug-in hybrid electric vehicles (PHEVs). An investigation in the reformulation of the cost of energy is carried out to eliminate the solutions involving excessive charging and discharging of BESSs/D-BESSs and PHEVs. It is demonstrated that simultaneous optimisation of cost, C O 2 emissions, real power losses, and load flattening cannot be effectively solved as a weighted sum objective function. An ε -constraint method is applied to obtain the optimal scheduling to achieve cost optimisation, load flattening, and minimisation of C O 2 emissions from the utility point of view. A case of decentralised multi-agent optimisation problem is also formulated and compared. It is observed that the combination of the scheduling of DGs, BESSs/D-BESSs, grid-to-vehicle/vehicle-to-grid can successfully be used to significantly reduce the system peak demand along with system cost, losses and C O 2 emissions. |
Starting Page | 5019 |
Ending Page | 5032 |
Page Count | 14 |
ISSN | 17518687 |
Volume Number | 13 |
e-ISSN | 17518695 |
Issue Number | Issue 22, Nov (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/13/22 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0428 |
Journal | IET Generation, Transmission & Distribution |
Publisher Date | 2019-09-09 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Battery Powered Vehicle Battery Storage Plants CO2 Cost Optimisation Cost Reduction D-BESS Distributed Battery Energy Storage System Distributed Generations Distributed Power Generation Distribution Network Distribution System Energy Cost Grid-to-vehicle Hybrid Electric Vehicle Load Flattening Multi-agent Optimisation Problem Multi-agent System Optimal Scheduling Optimisation Optimisation Technique Other Power Stations And Plant PHEV Plug-in Hybrid Electric Vehicle Power Distribution Economics Power Generation Economics Power Generation Scheduling Power Loss Power System Economics Power System Managemen Power System Operation Transportation Vehicle-to-grid |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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