Distributed energy resource management system

Tran, Quoc Tuan; Nguyen, Van Hoa; Luu, Ngọc An; Amicarelli, Elvira

doi:10.1016/b978-0-12-820074-2.00014-9

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The constraint in (6) assures the power balance between the generation and consumption: the left-side terms represent the total generation forecast (P t Ftg ), discharging of the flexibility (x t dis P t flex,dis ), total import (y t i P t ti ) powers, while the right-side terms represent the total consumption forecast (P t Ftc ), charging of the fleixbility (x t ch P t flex,ch ), and total export (y t e P t te ) powers from the REC. Additionally, the discrete variables of x t dis , x t ch and y t i , y t e ensure respectively that for each t, the simultaneous discharging/charging of the flexibility and import/export of power to/from the REC will not occur; this is formulated mathematically in (7). The flexibility-related constraints are formulated in ( 8)- (11).…”

Section: ) Opt Control Mechanismmentioning

confidence: 99%

“…In this regard, EMSs can support the reliable operation of the RECs and maximize the penetration of RES making use of forecasting information and the real-time monitoring of the grid together with the knowledge of operational constraints and the available storage and production capacities [7], [8]. Within an REC, many small-scale distributed energy resources generate energy surplus at the resource side which could be exchanged among different local consumers [9].…”

Section: Introduction a Renewable Energy Communities: Operation And C...mentioning

confidence: 99%

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Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

et al. 2023

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This paper presents the development of an energy management system (EMS) for a renewable energy community (REC) with the load-generation balancing objective. In this regard, rule-based and optimization mechanisms are proposed for the REC management in line with the scope of a field trial and considering the scarcity of the measurement and historical data. This typical data scarcity along with the intermittent behaviour of renewable energy resources introduce an unavoidable level of uncertainty-not being adequately addressed in the EMS literature-that might ultimately affect the proper REC management. Hence, a comprehensive performance analysis of the proposed EMS has been conducted via global sensitivity analysis (GSA). Particularly, variance-based sensitivity analysis has been employed to investigate how the variability of a set of selected indicators of the REC performance is apportioned to the different sources of uncertainty specifically related to the forecast and flexibility availability. Results show that the EMS performance is consistent with the EMS objective. The application of GSA reveals though interesting findings that contradict antecedent misconceptions about how different uncertainty sources affect the EMS performance. Although being related to the specific REC under study, the present work specializes GSA method in novel ways that pave the path for its reusability in the context of other EMS applications with different boundary conditions. By highlighting the necessity of GSA and showcasing its suitability to study the EMS performance under an uncertainty framework, the present work offers a precious tool to support system operators in their decision making process.

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Section: ) Opt Control Mechanismmentioning

confidence: 99%

Section: Introduction a Renewable Energy Communities: Operation And C...mentioning

confidence: 99%

Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

et al. 2023

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Complementary business models for distribution system operator in a peer-to-peer electricity market

Nguyen

Tran

Bésanger

et al. 2021

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Syst

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As more distributed renewable energy resources are connected and peer-to-peer energy trading frameworks are forming, the traditional business model of the distribution system operator and energy retailers faces emerging load and price risks. In this paper, two sustainable and complementary business models for the DSO the new energy ecosystem are proposed: DSO as the platform operator of the P2P energy exchange framework (including flexibility market and electric vehicle market) and DSO as the service supplier. The two complementary business models exploit the competitive advantages of the DSO (infrastructure, expertise) and provide the DSO with sustainable income stream to complement the revenue reduction under intermittent scenario of demand and DRES production.

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Cyber-Physical Power Systems: A Comprehensive Review About Drivers, Standards, and Future Perspectives

Alvarez-Alvarado,

Apolo-Tinoco,

Ramirez-Prado

et al. 2024

Preprint

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Distributed energy resource management system

Cited by 3 publications

References 16 publications

Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

Development of an Energy Management System for a Renewable Energy Community and Performance Analysis via Global Sensitivity Analysis

Complementary business models for distribution system operator in a peer-to-peer electricity market

Cyber-Physical Power Systems: A Comprehensive Review About Drivers, Standards, and Future Perspectives

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