Identifying optimal border of virtual power plants considering uncertainties and demand response

Sakr, Walaa S.; El‐Sehiemy, Ragab A.; Azmy, Ahmed M.; el‐Ghany, Hossam A. Abd

doi:10.1016/j.aej.2022.02.070

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…The BESS is stationary and located anywhere within the network and could be in buildings, open spaces, or wherever the power-generating units are. In addition, the use of VPPs is generally for demand control [6], where they relieve the load on the grid by smartly distributing the generated power during peak load periods. Furthermore, the combined generated and consumed power is traded on the energy exchange while at the same time providing frequency and voltage regulation while stabilizing the grid.…”

Section: Cooling For a Static Bess In Vppsmentioning

confidence: 99%

Comparative Review of Thermal Management System for BESS

Mdachi,

Choong-koo

2024

Preprint

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To support the integration of renewable energy sources and preserve grid stability, this study examines several approaches for controlling the temperature of Battery Energy Storage Systems (BESS) in modern energy settings. Specifically, the usage of BESS in Virtual Power Plants (VPPs) is the focus of this study. The effectiveness, safety features, dependability, affordability, and suitability for VPP applications of these systems are examined. Among the various hybrid cooling alternatives, two particularly promising combinations emerge. Firstly, the integration of heat pipes and phase change materials leverages their ability to conduct heat efficiently away from heat sources with minimal temperature differences, making them excellent for rapid heat transfer. Secondly, an approach employing heat pipes and liquid passive cooling a combination that capitalizes on the efficient heat transfer capabilities of heat pipes and the consistent cooling offered by liquid passive systems. The study underscores the importance of improving BESS performance and sustainability within VPPs by providing useful recommendations for choosing the best thermal management system depending on climate conditions and geographic location.

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Section: Cooling For a Static Bess In Vppsmentioning

confidence: 99%

Comparative Review of Thermal Management System for BESS

Mdachi,

Choong-koo

2024

Preprint

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“…A VPP is a viable platform to communicate with demand-side resources, allowing them to actively partake in power trading activity. Participating in the DR program under the VPP setting could provide additional benefits to decentralized generation and smallscale residential consumers as stated by [8]. The DR program is used to complement the power demand side of the VPP.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The normal PDF function is used to model each bus's load demand. For uncertain load l, the normal distribution PDF is provided by (8).…”

Section: ) Load Demand Uncertainty Modelingmentioning

confidence: 99%

Demand Response Strategy of a Virtual Power Plant for Internal Electricity Market

Ullah

Baseer

Ali

2022

2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE)

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Operational challenges are expected when a large amount of wind and solar energy is added to the electricity networks. It is necessary to introduce new technologies to allow more energy portfolio integration into power systems in order to compensate for the intermittent nature of renewable energy sources (RESs) such as wind and solar power due to their fluctuating nature. A potential solution to the problem of renewable energy integration in power market transactions is the virtual power plant (VPP). A VPP is a novel and smart approach of integrating distributed energy resources (DERs) such as demand response (DR) and energy storage systems (ESS). A VPP could exploit DERs and demand-side participation to mitigate peak loads and thus sustain grid stability. This paper presents a DR strategy of a VPP for simulating energy transactions within the VPP internal electricity market. The method assesses the impact of the DR program on renewable energies integration aiming to minimize VPP operating costs over the short-term planning horizon. Stochastic programming theory is used to address the optimization problem while protecting the interests of the end users. Preliminary findings show that peak load has been reduced while the overall cost of operating has decreased.

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“…Other studies have also analyzed the characteristics of members of the VPP: Chen Y, Du Q, Wu M, et al combined the seasonal characteristics of hydropower resources through the signing of medium-term contracts to obtain a certain flexible load reserve to minimize the daily operating cost of the VPP [11]. Sakr W S, EL-Sehiemy R A, Azmy A M, et al considered the uncertain load demand, renewable energy, and market price of VPP, and determined the optimal capacity and location of the dispatchable load [12]. Rahimi M, Ardakani F J, and Ardakani A J established the windPDF model to speed up the uncertainty and improve the expected net profit of VPP [13].…”

Section: Introductionmentioning

confidence: 99%

A Bi-Level Optimization Model for Virtual Power Plant Membership Selection Considering Load Time Series

Wang

Zhang

et al. 2023

Sustainability

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In order to improve the level of new energy consumption and reduce the dependence of the power system on traditional fossil energy, this paper proposed a bi-level optimization model for virtual power plant member selection by means of coordination and complementarity among different power sources, aiming at optimizing system economy and clean energy consumption capacity and combining it with the time sequence of load power consumption. The method comprises the following steps: (1) The processing load, wind power, and photovoltaic data by using ordered clustering to reflect the time sequence correlation between new energy and load and (2) uses a double-layer optimization model, wherein the upper layer calculates the capacity configuration of thermal power and energy storage units in a virtual power plant and selects the new energy units to participate in dispatching by considering the utility coefficient of the new energy units and the environmental benefit of the thermal power units. The Latin hypercube sampling (LHS) method was used to generate a large number of subsequences and the mixed integer linear programming (MILP) algorithm was used to calculate the optimal operation scheme of the system. The simulation results showed that by reducing the combination of subsequences between units and establishing a reasonable unit capacity allocation model, the average daily VPP revenue increased by RMB 12,806 and the proportion of new energy generation increased by 1.8% on average, which verified the correctness of the proposed method.

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Identifying optimal border of virtual power plants considering uncertainties and demand response

Cited by 6 publications

References 38 publications

Comparative Review of Thermal Management System for BESS

Comparative Review of Thermal Management System for BESS

Demand Response Strategy of a Virtual Power Plant for Internal Electricity Market

A Bi-Level Optimization Model for Virtual Power Plant Membership Selection Considering Load Time Series

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