A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids
This Article Develops a Novel Multi-Microgrids (MMGs) Participation Framework in the Day-Ahead Energy and Ancillary Services, i.e. Services of Reactive Power and Reserve Regulation, Markets Incorporating the Smart Distribution Network (SDN) Objectives Based on Two-Layer Power Management System (PMS)...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9758759/ |
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| author | Mehdi Veisi Farid Adabi Abdollah Kavousi-Fard Mazaher Karimi |
| author_facet | Mehdi Veisi Farid Adabi Abdollah Kavousi-Fard Mazaher Karimi |
| author_sort | Mehdi Veisi |
| collection | DOAJ |
| description | This Article Develops a Novel Multi-Microgrids (MMGs) Participation Framework in the Day-Ahead Energy and Ancillary Services, i.e. Services of Reactive Power and Reserve Regulation, Markets Incorporating the Smart Distribution Network (SDN) Objectives Based on Two-Layer Power Management System (PMS). A Bi-Level Optimization Structure Is Introduced Wherein the Upper Level Models Optimal Scheduling of SDN in the Presence of MMGs While Considering the Bilateral Coordination Between Microgrids (MGs) and SDN’s Operators, i.e. Second Layer’s PMS. This Layer Is Responsible for Minimizing Energy Loss, Expected Energy Not-Supplied, and Voltage Security as the Sum of Weighted Functions. In Addition, the Proposed Problem Is Subject to Linearized AC Optimal Power Flow (LAC-OPF), Reliability and Security Constraints to Make It More Practical. Lower Level Addresses Participation of MGs in the Competitive Market Based on Bilateral Coordination Among Sources, Active Loads and MGs’ Operator (First Layer’s PMS). The Problem Formulation Then Tries to Minimize the Difference Between MGs’ Cost and Revenue in Markets While Satisfying Constraints of LAC-OPF Equations, Reliability, Security, and Flexibility of the MGs. Karush–Kuhn–Tucker Method Is Exploited to Achieve a Single-Level Model. Moreover, a Stochastic Programming Model Is Introduced to Handle the Uncertainties of Load, Renewable Power, Energy Price, the Energy Demand of Mobile Storage, and Availability of Network Equipment. The Simulation Results Confirm the Capabilities of the Suggested Stochastic Two-Layer Scheme in Simultaneous Evaluation of the Optimal Status of Different Technical and Economic Indices of the SDN and MGs. |
| first_indexed | 2024-12-11T13:14:11Z |
| format | Article |
| id | doaj.art-75a88f3b66784d2497322f6ea3c044ea |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-11T13:14:11Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-75a88f3b66784d2497322f6ea3c044ea2022-12-22T01:06:06ZengIEEEIEEE Access2169-35362022-01-0110410474106310.1109/ACCESS.2022.31678269758759A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for MicrogridsMehdi Veisi0https://orcid.org/0000-0001-7375-8267Farid Adabi1https://orcid.org/0000-0002-5159-8909Abdollah Kavousi-Fard2https://orcid.org/0000-0002-5373-8354Mazaher Karimi3https://orcid.org/0000-0003-2145-4936Department of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, IranDepartment of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, IranDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, IranSchool of Technology and Innovations, University of Vaasa, Vaasa, FinlandThis Article Develops a Novel Multi-Microgrids (MMGs) Participation Framework in the Day-Ahead Energy and Ancillary Services, i.e. Services of Reactive Power and Reserve Regulation, Markets Incorporating the Smart Distribution Network (SDN) Objectives Based on Two-Layer Power Management System (PMS). A Bi-Level Optimization Structure Is Introduced Wherein the Upper Level Models Optimal Scheduling of SDN in the Presence of MMGs While Considering the Bilateral Coordination Between Microgrids (MGs) and SDN’s Operators, i.e. Second Layer’s PMS. This Layer Is Responsible for Minimizing Energy Loss, Expected Energy Not-Supplied, and Voltage Security as the Sum of Weighted Functions. In Addition, the Proposed Problem Is Subject to Linearized AC Optimal Power Flow (LAC-OPF), Reliability and Security Constraints to Make It More Practical. Lower Level Addresses Participation of MGs in the Competitive Market Based on Bilateral Coordination Among Sources, Active Loads and MGs’ Operator (First Layer’s PMS). The Problem Formulation Then Tries to Minimize the Difference Between MGs’ Cost and Revenue in Markets While Satisfying Constraints of LAC-OPF Equations, Reliability, Security, and Flexibility of the MGs. Karush–Kuhn–Tucker Method Is Exploited to Achieve a Single-Level Model. Moreover, a Stochastic Programming Model Is Introduced to Handle the Uncertainties of Load, Renewable Power, Energy Price, the Energy Demand of Mobile Storage, and Availability of Network Equipment. The Simulation Results Confirm the Capabilities of the Suggested Stochastic Two-Layer Scheme in Simultaneous Evaluation of the Optimal Status of Different Technical and Economic Indices of the SDN and MGs.https://ieeexplore.ieee.org/document/9758759/Two-layer power management systemenergy and ancillary services marketsmulti-criteria objectivesmulti-microgridsmulti-objective bi-level optimization |
| spellingShingle | Mehdi Veisi Farid Adabi Abdollah Kavousi-Fard Mazaher Karimi A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids IEEE Access Two-layer power management system energy and ancillary services markets multi-criteria objectives multi-microgrids multi-objective bi-level optimization |
| title | A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids |
| title_full | A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids |
| title_fullStr | A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids |
| title_full_unstemmed | A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids |
| title_short | A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids |
| title_sort | framework of electricity market based on two layer stochastic power management for microgrids |
| topic | Two-layer power management system energy and ancillary services markets multi-criteria objectives multi-microgrids multi-objective bi-level optimization |
| url | https://ieeexplore.ieee.org/document/9758759/ |
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