Congestion management through distributed generations and energy storage systems

Dehnavi, Ehsan; Aminifar, Farrokh; Afsharnia, Saeed

doi:10.1002/2050-7038.12018

Cited by 30 publications

(20 citation statements)

References 23 publications

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“…The amount of power imported and exported between the residential consumer and the utility grid are considered as the operational constraints by means of Equations (2) and (3). The maximum limit to draw the power from the grid without penalty is decided according to the contract demand.…”

Section: Operational Constraintsmentioning

confidence: 99%

“…1 The effect of highly penetrated renewable generation and EVs on low voltage, weak distribution networks have been studied by various research groups. [2][3][4][5] Such penetration adversely affects the voltage stability, protection limits, and frequency regulations and leads to reliability issues. The utility company of different countries fixes a maximum limit on the power exported to the utility grid from distributed generation plants based on the feeder capacity.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the electric vehicles (EV) proliferate directly into low voltage distribution feeders due to global warming and depletion of fossil fuels 1 . The effect of highly penetrated renewable generation and EVs on low voltage, weak distribution networks have been studied by various research groups 2‐5 . Such penetration adversely affects the voltage stability, protection limits, and frequency regulations and leads to reliability issues.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and scheduling of residential electric loads for energy self‐sufficiency

Narayanankutty

Ashok

Kumaravel

2020

Int J Numerical Modelling

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The utility company enforces a limit on the amount of energy injected into the utility grid from residential renewable plants due to the stability/protection concerns caused by the reverse power flow. Under this scenario, a proper load scheduling at the consumer end is necessary to ensure maximum renewable energy utilization during the surplus generation. This article proposes a novel objective function to impart energy self-sufficiency for residential consumers who own electric vehicles and renewable energy power plants. The proposed objective function aims to promote the consumers to utilize the local sources such as the battery of an electric vehicle, solar PV, wind, etc., effectively through load scheduling. A dedicated program in MATLAB platform is developed for load scheduling, and an experimental case study is conducted using the forecasted demand and generation profiles collected from 10 typical residential consumers. Three new techno-economic parameters namely, aggregate daily exchanged energy, daily average discharged energy, and daily average self-sufficiency hours are proposed to conduct the comparative study. An Average Rank ranking method is introduced to evaluate the effectiveness of the proposed and conventional objective functions statistically. The result analysis proves that load scheduling using the proposed objective function secure the best Average Rank of 2.02 compared to the conventional objective functions.

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Section: Operational Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and scheduling of residential electric loads for energy self‐sufficiency

Narayanankutty

Ashok

Kumaravel

2020

Int J Numerical Modelling

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“…Henceforth, an effective congestion management scheme is necessary. There exists several congestion management schemes which are generation rescheduling, 1,2 load curtailment, 3,4 implementation of FACTS devices, 5,6 distributed generations and energy storage devices, 7 and so on. The implementation of such schemes suitable for different competitive market structures are discussed in References 8‐10.…”

Section: Introductionmentioning

confidence: 99%

Bid responsive generation rescheduling for congestion management in electricity market

Sarwar

Siddiqui

Jaffery

et al. 2020

Engineering Reports

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Electricity market economics is one of the vital factors which play a key role in achieving the efficient operation of the power system. Economic operation along with secure & reliable operation is must for ensuring optimum utilization of the resources in order to maximize social welfare. This article presents a method for achieving economic operation of electricity market in case of congestion occurring in the system. The generator sensitivity (GS) method alone can manage the system congestion, however it does not consider the economic benefits which can be achieved by considering the bids submitted by the generators and as a result it leads to situation of market power. To avoid such scenario, bid sensitivity factor (BSF) is proposed to select the generators to participate and regulate their real power generation for alleviating congestion from the system optimally. The BSF takes into account the GS as well as bids of the generators.In this paper, the effectiveness of the proposed method in eliminating market power is realized by changing the bids of the generators. The proposed method is tested on IEEE 30-bus system and IEEE 118-bus system. The obtained results show an encouraging pattern for managing the congestion more optimally and economically.

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“…In conventional energy trading, the surplus energy is sold to the grid, hereinafter referred to as peer-to-grid (P2G). With the increasing deployment of renewable energy sources in P2G energy trading, the gain to access advantages like improved power quality, energy balance, and reliability is circumscribed by the congestion of transmission lines [5]. However, P2P energy trading, in addition to the local energy balance, alleviates the congestion at the edge of the distribution level, eventually lessening the burden on transmission lines [6,7].…”

Section: Introductionmentioning

confidence: 99%

Peer-to-Peer Energy Trading of a Community Connected with an AC and DC Microgrid

Kuruseelan

Vaithilingam

2019

Energies

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The awareness of self-consumption of grid-connected roof-top solar photovoltaic (PV) owners in a community and the advancement in information and communication technologies (ICT) led to the development of a novel peer-to-peer energy trading mechanism for next-generation power systems. In the peer-to-peer (P2P) energy trading landscape, the prosumers and consumers self-organize and trade energy among themselves. In recent years, the large penetration of distributed energy resources, as well as the advancement of technologies in the fields of protection, power electronics, and storage devices, led to the use of direct current (DC) home appliances by the end-users, i.e., consumers in a community. In this paper, the operational costs of an individual household and community when operated with alternating current (AC) and DC home appliances are calculated using bill sharing and the mid-market rate method for various degrees of PV penetration. The bill sharing method shares the operational cost and income among all the peers in proportion to the amount of energy they consume/generate. The mid-market rate method calculates the P2P internal price at the median of the import and export price based on the relationship between total generation and demand. In terms of operational cost, both producers and consumers benefit fairly when the mid-market rate method is used when the households in a community are operated with DC home appliances.

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Congestion management through distributed generations and energy storage systems

Cited by 30 publications

References 23 publications

Modeling and scheduling of residential electric loads for energy self‐sufficiency

Modeling and scheduling of residential electric loads for energy self‐sufficiency

Bid responsive generation rescheduling for congestion management in electricity market

Peer-to-Peer Energy Trading of a Community Connected with an AC and DC Microgrid

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