Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks
Niyam Haque,
Anuradha Tomar,
Phuong Nguyen and
Guus Pemen
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Niyam Haque: Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Anuradha Tomar: Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Phuong Nguyen: Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Guus Pemen: Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Energies, 2020, vol. 13, issue 2, 1-16
Abstract:
Capacity challenges are becoming more frequent phenomena in residential distribution networks with new forms of loads, distributed renewable energy resources (RES) and price-responsive applications. Different types of demand response programs have been introduced to tackle these challenges through iterative changes in price and/or contractual participations based on incentives. In this research, a dynamic network tariff-based demand response program is proposed to address congestion problems in low-voltage (LV) networks. The formulation takes advantage of the scalable architecture of the agent-based systems that allows local decision making with limited communication. Energy consumption schedules are developed on a day-ahead basis depending on the expected cost of overloading for a number of probable scenarios. The performance of the proposed approach has been tested through simulations in the unbalanced IEEE European LV test feeder. Simulation results reveal up to 82% reduction in congestion on a monthly basis, while maintaining the quality of supply in the network.
Keywords: congestion management; dynamic tariff; agent-based distribution networks; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:2:p:318-:d:306745
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