On the Use of Satellite Nightlights for Power Outages Prediction

Montoya-Rincon, Juan P.; Azad, Shams; Pokhrel, Rabindra; Ghandehari, Masoud; Jensen, Michael P.; González, Jorge E.

doi:10.1109/access.2022.3149485

Cited by 14 publications

(6 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There could be emergencies resulting in power disruption in the utility grid. For instance, in October 2017 in Puerto Rico, Americans were thrown into darkness by the Hurricane Maria disaster which resulted in a collapsed energy grid and communication system [6] [7]. During such incidences, MG operators disconnect from the utility grid and operate in islanded mode [8].…”

Section: A Microgrid Operationsmentioning

confidence: 99%

“…The objective of the input-oriented DEA efficiency assessment approach is to minimize  in (7) such that the constraint in (8) is achieved. V(a) and Table V(b), respectively.…”

Section: The Input-oriented Approachmentioning

confidence: 99%

“…V(a) and Table V(b), respectively. For example, from Table V, the efficiency ( 1) of DMU1 (d1) is calculated by minimizing  in (9) given the constraint in (10) (refer to (7) and ( 8)). Similarly, the efficiency ( n) of DMUn (dn) is calculated by minimizing  in (11) given the constraint in (12), and so on.…”

Section: The Input-oriented Approachmentioning

confidence: 99%

See 2 more Smart Citations

The Consumer-Centered Electricity Reliability Enhancement in the Standalone Generation Arena

Okoye,

Castro,

Fingerhuth

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Standalone microgrids (MGs) and distributed generations (DGs) suffer power generation intermittencies. This leads to a frequent deficit in the supply to consumers. This is worsened by the further delay experienced in the transaction process of the generated energy. Critical loads face the greatest risk of the resulting power shortage. Using the blockchain-integrated data envelopment analysis (DEA), this paper proposes a customer-centered approach to minimizing these inherent issues. Consequently, generation capacity reliability is maximized while the energy supply latency is minimized. First, considering the varying generation reliabilities of standalone MGs, a simulation method is presented using the DEA algorithm for identifying and selecting the most reliable MG in real time for supply. That is, the microgrid with the maximum generation capacity. Next, to address MG's energy supply latency, a blockchainintegrated energy trading platform is proposed (for prosumers' DGs) to enhance the peer-to-peer electricity transaction experience. Thus, considering the inherent transaction delay in blockchain-integrated energy trading platforms, a DEA algorithm is proposed for determining and adopting the fastest blockchain transaction. Finally, an algorithm is developed to streamline the integration of the two-step enhancements. It was observed that, as the input data (efficiencies of MGs and blockchains) are changing, maximum power delivery and the fastest electricity transaction rate are achieved in the standalone generation arena at minimal cost. This addresses the characteristic supply deficits and delays, thus minimizing the risk of shedding critical loads.INDEX TERMS Blockchain transaction, data envelopment analysis (DEA), efficiency assessment, linear regression, loss of load expectation (LOLE), multi-microgrid (MMG), peer-to-peer energy trading, reliability assessment, standalone distributed generations (DG).

show abstract

Section: A Microgrid Operationsmentioning

confidence: 99%

“…The objective of the input-oriented DEA efficiency assessment approach is to minimize  in (7) such that the constraint in (8) is achieved. V(a) and Table V(b), respectively.…”

Section: The Input-oriented Approachmentioning

confidence: 99%

See 1 more Smart Citation

The Consumer-Centered Electricity Reliability Enhancement in the Standalone Generation Arena

Okoye,

Castro,

Fingerhuth

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The duration of such a blackout depends on the weight of the cause of the disruption, the affected power component, and the severity of the damage. For example, the Hurricane Maria disaster in Puerto Rico, in October 2017, threw Americans in shock leaving a collapsed energy grid and communication system [9], [10]. This led to unforeseen extensive darkness which lasted for an extended period.…”

Section: A Localized Standalone Generationsmentioning

confidence: 99%

“…This is achieved by minimizing the positive component of the cost and minimizing the negative component of the profit. The emerging expression and function equations are given in (9.1) and (9.2), respectively with associated constraints given in (10).…”

Section: ) Pattern Recognition Simulationmentioning

confidence: 99%

Adopting the Game Theory Approach in the Blockchain-Driven Pricing Optimization of Standalone Distributed Energy Generations

Okoye

Kim

2022

IEEE Access

View full text Add to dashboard Cite

The importance of the distributed generations cannot be overemphasized. This ranges from the contribution to resilience down to the energy cost efficiency advantage at the consumers' end. The distributed generations in some localities, however, lack connection to the utility grid due to the remoteness of the generation site. Certain benefits are, however, threatened. Thus, where there is no energy price regulation policy, fluctuations in energy prices could be the order of the day. This paper, thus, focuses on the transaction price optimization of the standalone distributed generations using the game theory approach. First, blockchain technology is incorporated in the energy transaction arena to bind prosumers and their energy transactions to a common platform. Next, for electricity price prediction, the linear regression algorithm is used to obtain the fitting equation from the current transaction data stored by the blockchain network. Using the fitting equation as the objective function, the particle swarm optimization (PSO) algorithm is used to achieve the proposed energy transaction price minimization and profit maximization. Finally, the individual hourly optimization results are fitted by a decision tree algorithm for instant referencing purposes in making energy best price transaction decisions. The individual results show that it is capable of constantly updating the optimized energy price in real-time based on the subsequent transaction records updated by the blockchain network.

show abstract

Design of an Efficient Satellite Image Analysis Model for Identification of Sustainable Construction Areas via Ground Subsidence Monitoring and Infrastructure Monitoring Operations

Chatrabhuj,

Meshram

2024

Indian Geotech J

View full text Add to dashboard Cite

On the Use of Satellite Nightlights for Power Outages Prediction

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 14 publications

References 48 publications

The Consumer-Centered Electricity Reliability Enhancement in the Standalone Generation Arena

The Consumer-Centered Electricity Reliability Enhancement in the Standalone Generation Arena

Adopting the Game Theory Approach in the Blockchain-Driven Pricing Optimization of Standalone Distributed Energy Generations

Design of an Efficient Satellite Image Analysis Model for Identification of Sustainable Construction Areas via Ground Subsidence Monitoring and Infrastructure Monitoring Operations

Contact Info

Product

Resources

About