Stochastic Wind Energy Management Model within smart grid framework: A joint Bi-directional Service Level Agreement (SLA) between smart grid and Wind Energy District Prosumers

I. Hussain, S.M. Ali, B. Khan, Z. Ullah, C.A. Mehmood, M. Jawad, U. Farid and A. Haider

Renewable Energy, 2019, vol. 134, issue C, 1017-1033

Abstract: The evolvement of prosumers (energy producing consumers) in Smart Grid (SG) ensures reliable and efficient bi-directional power-flow. However, the prosumers interactions and interfacing within the SG system requires a bi-directional Energy Management Model, a demanding task to monitor, manage, and measure probabilistic prosumers activities. Considering weather parametric effects with Price-Based Programs and generation capacity of prosumers within Energy District (ED) is highly complex and stochastic problem, we propose Stochastic Wind Energy Management Model (SWEMM) with bi-directional energy flows between SG and Wind Energy Prosumers (WEPs). Moreover, our model incorporates an effective Service Level Agreement (SLA) design for efficient energy exchange structure between both parties (SG and WEPs). Furthermore, non-linear Stochastic price model is employed that overcomes the uncertainty of market price with SLA implementation, while wind energy estimation model within ED is employed for prosumer energy generation. The aforementioned models are incorporated for SWEMM that maximizes Prosumers Energy Surplus (PES) and minimizes Prosumer Energy Cost (PEC), while Grid Revenue (GR) maximizes for SG. Finally, data analysis (3D-plots) of Copano Bay (Texas US), model simulation and SLA validation with convergence and divergence plots with tabular statistics prove the effectiveness of our proposed model. We believe that our work is more versatile in modeling stochastic energy management model for SG and WEPs, compared to prior works.

Keywords: Smart grid; Energy management system; Service level agreement; Prosumers; Stochastic optimization; Energy district (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:134:y:2019:i:c:p:1017-1033

DOI: 10.1016/j.renene.2018.11.085

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