Optimal hierarchical energy management scheme for networked microgrids considering uncertainties, demand response, and adjustable power

Movahednia, Mohadese; Karimi, Hamid; Jadid, Shahram

doi:10.1049/iet-gtd.2020.0287

Cited by 27 publications

(5 citation statements)

References 40 publications

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“…After clearing the market, the power exchange of the Disco with the market is determined. Other participants may fit into any of the levels of the framework depending on the nature of the work they do 25 …”

Section: Problem Statementmentioning

confidence: 99%

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Rahnama

Dejamkhooy

Shayeghi

2023

Engineering Reports

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This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP.

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Section: Problem Statementmentioning

confidence: 99%

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Rahnama

Dejamkhooy

Shayeghi

2023

Engineering Reports

View full text Add to dashboard Cite

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“…In the presented LEM, the prices for flexibility are based on the financial risks of overloading and outages, so when overloading occurs, the DSO activates flexibility for the price it would have to pay in component degradation and or outage costs. In Movahednia et al [64] the economic viability of market participants is used as one of the performance indicators.…”

Section: Privacy Responsibility and Othersmentioning

confidence: 99%

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

Doumen

Nguyen

Kok

2022

Renewable and Sustainable Energy Reviews

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“…However, the study fails to address the constraints of both distribution and transmission networks. Finally, the study in [23] focuses on real-time energy management and operational optimisation without taking into account all aspects of the networks, including the distribution and transmission levels, which are crucial for holistic management.…”

Section: Introductionmentioning

confidence: 99%

Novel Hierarchical Energy Management System for Enhanced Black Start Capabilities at Distribution and Transmission Networks

Colak,

Abouyehia,

Ahmed

2024

Energies

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A novel energy management system featuring a unique framework involving multiple hierarchical controllers at the distribution and transmission network levels is proposed. The unique objective function of this energy management system is designed to enhance system inertia during black start and optimise load shedding. The objective function further aims to increase reliance on renewable energy sources, prioritising solar power along with battery and fuel cell technologies. This work delves deeply into the dynamics of multi-area power networks, where some areas possess black start capabilities (BSAs) while others do not (NBSAs). The proposed energy management system specifically explores the complex interplay between these black start capabilities and the hierarchical load restoration order. During grid blackouts, the systems located in BSA areas are tasked with first restoring essential loads in their own regions before extending aid to the adjacent NBSA areas, taking into account factors such as their available reserved power and geographical proximity. This work is extended to analyse complex multi-area power network architectures. This extended analysis provides invaluable insights for enhancing power restoration processes and facilitating the large-scale integration of sustainable energy solutions in complex systems. The proposed energy management system is validated using the IEEE 39-Bus network, which consists of ten distinct areas, each differing in their black start capabilities. The results demonstrate the superiority of the proposed system.

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Optimal hierarchical energy management scheme for networked microgrids considering uncertainties, demand response, and adjustable power

Cited by 27 publications

References 40 publications

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective

Novel Hierarchical Energy Management System for Enhanced Black Start Capabilities at Distribution and Transmission Networks

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