2020
DOI: 10.1109/access.2020.2993868
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Risk-Based Traded Demand Response Between Consumers’ Aggregator and Retailer Using Downside Risk Constraints Technique

Abstract: Electricity retailer is the most critical player in the restructured electricity market. Retailer's electricity procurement problem is a big challenge for them. Electricity retailer can purchase their energy from various options such as pool market, forward contracts, and etc. A relatively new way with a lesser investigation is the demand response exchange market. In this paper, the risk-constrained stochastic power procurement problem of electricity retailers is formulated by modeling the uncertainty of pool-… Show more

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Cited by 16 publications
(4 citation statements)
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“…These techniques involve mathematical algorithms that analyze various factors such as demand forecasts, available energy resources, and pricing mechanisms to optimize energy flows between interconnected entities [24,25]. Risk management strategies [26,27] are also essential for reducing the risks that come with trading energy, such as changes in supply and demand, price volatility, and possible disruptions. The microgrid's resilience and sustainability are eventually enhanced by the use of strategies including hedging, diversification of energy sources, and realtime monitoring systems, which reduce risks and improve the stability of energy trading operations.…”
Section: A Motivation and Backgroundmentioning
confidence: 99%
“…These techniques involve mathematical algorithms that analyze various factors such as demand forecasts, available energy resources, and pricing mechanisms to optimize energy flows between interconnected entities [24,25]. Risk management strategies [26,27] are also essential for reducing the risks that come with trading energy, such as changes in supply and demand, price volatility, and possible disruptions. The microgrid's resilience and sustainability are eventually enhanced by the use of strategies including hedging, diversification of energy sources, and realtime monitoring systems, which reduce risks and improve the stability of energy trading operations.…”
Section: A Motivation and Backgroundmentioning
confidence: 99%
“…In the risk minimization stage, the aggregator can purchase energy from the wholesale market to meet the scheduled dayahead electricity, either in the day-ahead or real-time markets (to achieve imbalance reduction). The risk-constrained stochastic power procurement problem of electrical retailers is formulated in [24] taking into consideration load and poolmarket prices uncertainty. The authors propose a risk strategy to achieve equal cost in all uncertainty scenarios, making it a scenario-independent process that imposes more costs to the retailer but almost zero risk.…”
Section: Related Workmentioning
confidence: 99%
“…An overview of the state of the art in decision-making models for electricity retailers was provided in [6] and [7]. Most of the existing works focused on the integration of price-based [8]- [14] incentive-based [15]- [21], combined [22] and contract-based [23], [24] DR mechanisms. Price-based DR mechanisms assume that retail customers manage their energy consumption according to specific pricing arrangements such as time-of-use and real-time pricing.…”
Section: Randommentioning
confidence: 99%