Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach

This paper introduces a new contract-theoretic framework to tackle this challenge by designing optimal contracts for ESs. A dynamic pricing scheme is developed that the aggregator can utilize to incentivize the ESs to contribute to both baseload and peak load demands according to their categories. A...

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Main Authors: Amin, Uzma, Hossain, J, Tushar, W, Mahmud, K
Format: Journal Article
Published: IEEE 2020
Online Access:http://hdl.handle.net/20.500.11937/81246
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author Amin, Uzma
Hossain, J
Tushar, W
Mahmud, K
author_facet Amin, Uzma
Hossain, J
Tushar, W
Mahmud, K
author_sort Amin, Uzma
building Curtin Institutional Repository
collection Online Access
description This paper introduces a new contract-theoretic framework to tackle this challenge by designing optimal contracts for ESs. A dynamic pricing scheme is developed that the aggregator can utilize to incentivize the ESs to contribute to both baseload and peak load demands according to their categories. An algorithm is proposed that can be implemented in a distributed manner by trading partners to enable energy trading. It is shown that the trading strategy under a baseload scenario is feasible, and the aggregator only needs to consider the per unit generation cost of ESs to decide on its strategy. The trading strategy for a peak load scenario, however, is complex and requires consideration of different factors such as variations in the wholesale price and its effect on the selling price of ESs, and the uncertainty of RESs. Simulation results demonstrate the effectiveness of the proposed scheme for energy trading in local electricity market
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institution Curtin University Malaysia
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last_indexed 2025-11-14T11:17:47Z
publishDate 2020
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spelling curtin-20.500.11937-812462021-06-15T03:10:08Z Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach Amin, Uzma Hossain, J Tushar, W Mahmud, K This paper introduces a new contract-theoretic framework to tackle this challenge by designing optimal contracts for ESs. A dynamic pricing scheme is developed that the aggregator can utilize to incentivize the ESs to contribute to both baseload and peak load demands according to their categories. An algorithm is proposed that can be implemented in a distributed manner by trading partners to enable energy trading. It is shown that the trading strategy under a baseload scenario is feasible, and the aggregator only needs to consider the per unit generation cost of ESs to decide on its strategy. The trading strategy for a peak load scenario, however, is complex and requires consideration of different factors such as variations in the wholesale price and its effect on the selling price of ESs, and the uncertainty of RESs. Simulation results demonstrate the effectiveness of the proposed scheme for energy trading in local electricity market 2020 Journal Article http://hdl.handle.net/20.500.11937/81246 10.1109/TII.2020.3018123 IEEE restricted
spellingShingle Amin, Uzma
Hossain, J
Tushar, W
Mahmud, K
Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title_full Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title_fullStr Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title_full_unstemmed Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title_short Energy Trading in Local Electricity Markets with Renewables- A Contract Theoretic Approach
title_sort energy trading in local electricity markets with renewables- a contract theoretic approach
url http://hdl.handle.net/20.500.11937/81246