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Capability of battery-based integrated renewable energy systems in the energy management and flexibility regulation of smart distribution networks considering energy and flexibility markets
The study investigated the economic operation of battery-powered integrated renewable energy systems based on their concurrent participation in the energy and flexibility markets. The smart distribution network establishes connections between systems while considering the operational, flexibility, a...
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Published in: | Journal of energy storage 2024-09, Vol.98, p.113007, Article 113007 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The study investigated the economic operation of battery-powered integrated renewable energy systems based on their concurrent participation in the energy and flexibility markets. The smart distribution network establishes connections between systems while considering the operational, flexibility, and financial objectives of the distribution system operator. Bi-level optimization was employed in this study; the upper-level formulation considers the operation-flexibility model of the system and battery to maximize the profit generated by the integrated systems in the designated markets. The distribution network is managed by the lower-level model utilizing the market settlement pricing model. The objective of this challenge is to reduce the weighted sum of the projected energy losses in the network and the costs incurred for distribution after operations conclude. Network flexibility constraints and the linearized AC Optimal Power Flow equations are two of the problem's limitations. A compromise resolution to the lower-level issue is achieved through the implementation of fuzzy decision-making. To illustrate this, the Karush–Kuhn–Tucker conditions present a single-level model. The capacity and renewable resource uncertainties that affect the aforementioned plan are accounted for with the Unscented Transformation method to reduce calculation time and accurately represent flexibility. Ultimately, the results show that the suggested plan may enhance the network's operational, financial, and flexible state and provide access to the best possible financial return from the integrated systems energy and flexibility market. In comparison to network load distribution studies, the system's energy management of the batteries produced 100 % flexibility conditions for the distribution network, improving its operational and economic status by around 61 % and 43 %–62 %, respectively.
•Energy management of IES with battery in the SDN based on economic and technical objectives of DSO•Economic modeling of IES flexibility in conjunction with the modeling of SDN flexibility regulation•Investigating IES effects in determining market price of energy and flexibility according to MCP model•Evaluation of the performance of BUs in SDN and IES•Application of UT in modeling uncertainties to reduce computational time and improve flexibility models accuracy |
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ISSN: | 2352-152X |
DOI: | 10.1016/j.est.2024.113007 |