Dynamic Pricing Design for Demand Response Integration in Power Distribution Networks

Nguyen, Duong Tung; Nguyen, Hieu Trung; Le, Long Bao

doi:10.1109/tpwrs.2015.2510612

Cited by 129 publications

(48 citation statements)

References 47 publications

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“…Additionally, the generation output of the photovoltaic panel cannot exceed the maximum output capacity P pmax , i.e. 0 ≤ P p ≤ P pmax (16) 3.1.3. Demand response In the power system studied in this paper, DR is provided by flexible loads, which can respond to the electricity price change in the market.…”

Section: Dsr Modeling 311 Wind Turbinementioning

confidence: 99%

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Management and performance evaluation of DSR aggregator based on a bi‐level optimization model

Jiang

Zhang

2018

IEEJ Transactions Elec Engng

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The vast potential of demand-side resources (DSR)-including flexible loads and distributed energy resources-in the optimal operation of a power system is being increasingly recognized. Such potential can be fully realized through the access of a DSR aggregator to the power market. In this paper, a DSR aggregator is introduced for the collective management of DSRs in the power system. A bi-level optimization model consisting of power market clearing and DSR aggregator internal scheduling is formulated and solved through stochastic programing. A thorough evaluation of the DSR aggregator's performance under three different operation modes, namely energy consumer mode, energy prosumer mode, and eco-friendliness mode, is carried out to study its influence on system operation concerning social welfare, system purchase cost, carbon emission, and so on. Simulation results show that even though DSR acquires a segment of the market social welfare, it brings in benefits in economic and environmental operation of the system and contributes to DSR uncertainty alleviation.

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Section: Dsr Modeling 311 Wind Turbinementioning

confidence: 99%

“…The market potential of the aggregator has been proven through its implantation in the distribution network where the aggregator interacts with the upstream market, be it a DSO (distribution system operator) [15] or an LSE (load serving entity) in the main network [16]. However, it is also applied to a higher voltage level.…”

Section: Introductionmentioning

confidence: 99%

Management and performance evaluation of DSR aggregator based on a bi‐level optimization model

Jiang

Zhang

2018

IEEJ Transactions Elec Engng

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“…However, the locational marginal prices (LMPs) are not endogenously generated by considering the power flow integration. From the management perspective, in [13], a dynamic pricing mechanism is designed to facilitate the aggregator-based DR to participate in the energy schedule of a LSE. A bi-level problem is formulated by taking the LSE as the leader and DR aggregators as the followers.…”

Section: B Literature Review and Contributionsmentioning

confidence: 99%

Real-time procurement strategies of a proactive distribution company with aggregator-based demand response

Zhang

Wang²,

Wang

2017

2017 IEEE Power &Amp; Energy Society General Meeting

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“…Finally, market prices are reduced as a result of employing most of the infrastructure, for instance, reduction in units' demands with expensive electricity generation. DRPs exert a powerful effect on pushing down the market prices [40,73]. Furthermore, DRPs can expand short-term capacity through incentive-based programs which in sequence, leads to keeping down capacity costs.…”

Section: Benefit Of Drmentioning

confidence: 99%

The Mutual Impact of Demand Response Programs and Renewable Energies: A Survey

et al. 2017

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Renewable energies as a solution for environmental issues have always been a key research area due to Demand Response Programs (DRPs). However, the intermittent nature of such energies may cause economic and technological challenges for Independent System Operators (ISOs) besides DRPs, since the acceptable effective solution may exceed the requirement of further investigations. Although, previous studies emphasized employing Demand Response and Renewable Energies in power systems, each problem was investigated independently, and there have been few studies which have investigated these problems simultaneously. In these recent studies, authors neither analyzed these problems simultaneously nor discussed which scientific and practical aspects of demand response and renewable energy injection were employed. Motivated by this requirement, this research has focused on a comprehensive review of recent research of these cases to provide a comprehensive reference for future works.

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Dynamic Pricing Design for Demand Response Integration in Power Distribution Networks

Cited by 129 publications

References 47 publications

Management and performance evaluation of DSR aggregator based on a bi‐level optimization model

Management and performance evaluation of DSR aggregator based on a bi‐level optimization model

Real-time procurement strategies of a proactive distribution company with aggregator-based demand response

The Mutual Impact of Demand Response Programs and Renewable Energies: A Survey

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