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| Content Provider | IET Digital Library |
|---|---|
| Author | Ali, Sahibzada Muhammad Ullah, Zahid Mokryani, Geev Khan, Bilal Hussain, Iqrar Mehmood, Chaudhry Arshad Farid, Umar Jawad, Muhammad |
| Abstract | The bi-directional energy flow between prosumers (wind energy) and smart grid (SG) provides pertinent benefits, such as (i) load-sharing, (ii) peak-load shaving, (iii) load reduction with energy market programs, (iv) ancillary services-based energy transactions, and (v) mutual beneficial frameworks based on rewards and penalties. However, the load variations of SG, intermittent wind speed in energy district (ED) of prosumers, and stochastic energy price are the major constraints that must be considered in wind energy prosumers (WEPs) interaction with utility. Further, the interfacing and interactions of WEPs with SG incur an enormous volume of data to be processed, stored, accessed, and managed. Therefore, the authors proposed a stochastic bi-directional energy management model (BEMM) to manage the aforementioned constraints. Moreover, the BEMM is empowered with cloud-based service level agreement (C-SLA) that provides massive storage capabilities to the enormous data incurred due to WEPs interactions with SG. Two sub-models of BEMM are incorporated, namely stochastic wind estimation model and stochastic energy pricing model. The wind estimation model deals the stochasticity of wind speed for energy generation, while energy price model manages and controls the uncertainty of pricing tariffs based on real-time pricing and day-a-head pricing mechanisms for efficient energy trade between SG and WEPs under the principle of C-SLA. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| Volume Number | 2 |
| e-ISSN | 25168401 |
| Issue Number | Issue 1, Mar (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-esi/2/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-esi.2019.0032 |
| Journal | IET Energy Systems Integration |
| Publisher | The Institution of Engineering and Technology Tianjin University |
| Publisher Date | 2019-08-30 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Ancillary Services-based Energy Transactions BEMM Bi-directional Energy Flow Cloud Computing Cloud-based Service Level Agreement Day-a-head Pricing Mechanisms Demand Response Programs Demand Side Management Distributed Power Generation Efficient Energy Trade Energy District Energy Generation Energy Market Programs Energy Price Model Intermittent Wind Speed Internet Software Load Management Load Reduction Load Variation Load-sharing Mutual Beneficial Frameworks Peak-load Shaving Power Engineering Computing Power Generation Economics Power Market Power System Economics Power System Managemen Power System Operation Pricing Real-time Pricing Smart Grid Smart Power Grid Statistics Stochastic Bi-directional Energy Management Model Stochastic Energy Price Stochastic Energy Pricing Model Stochastic Linearised SCUC Stochastic Wind Estimation Model Tariffs WEPs Interactions Wind Energy Prosumers Interaction Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
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