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Electric power

About: Electric power is a research topic. Over the lifetime, 73036 publications have been published within this topic receiving 636991 citations.


Papers
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Journal ArticleDOI
TL;DR: This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid, and indicates possible ways to incorporate the diverse co-evolving systems into the smartgrid model using, for example, network theory and multi-agent simulation.
Abstract: This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid. From the physical network to abstract energy markets, we identify in the literature different aspects that co-determine the spatio-temporal multilayer dynamics of power system. We start our review by showing how the generation, transmission and distribution characteristics of the traditional power grids are already subject to complex behaviour appearing as a result of the the interplay between dynamics of the nodes and topology, namely synchronisation and cascade effects. When dealing with smart grids, the system complexity increases even more: on top of the physical network of power lines and controllable sources of electricity, the modernisation brings information networks, renewable intermittent generation, market liberalisation, prosumers, among other aspects. In this case, we forecast a dynamical co-evolution of the smart grid and other kind of networked systems that cannot be understood isolated. This review compiles recent results that model electric power grids as complex systems, going beyond pure technological aspects. From this perspective, we then indicate possible ways to incorporate the diverse co-evolving systems into the smart grid model using, for example, network theory and multi-agent simulation.

122 citations

Patent
28 Dec 2000
TL;DR: In this article, a power system is provided in which a grid supplies electrical power to a load and in which backup power is provided from one of a generator and a dc storage device.
Abstract: A power system is provided in which a grid supplies electrical power to a load and in which backup power is provided from one of a generator and a dc storage device. The power system includes a standalone inverter having an input and an output. The output of the standalone inverter is connected to the load. The power system includes a grid parallel inverter having an input and an output. The output of the grid parallel inverter is connected to the grid. A dc bus is electrically connected to the input of the standalone inverter and to the input of the grid parallel inverter.

122 citations

Journal ArticleDOI
TL;DR: In this paper, an electrically peaking hybrid electric (ELPH) propulsion system is developed that has a parallel configuration, where a small engine is used to supply power approximately equal to the average load power, along with the regenerative braking power, to maintain the battery state of charge (SOC) at a reasonable level.
Abstract: An electrically peaking hybrid electric (ELPH) propulsion system is being developed that has a parallel configuration. A small engine is used to supply power approximately equal to the average load power. The operation of the engine is managed by a vehicle controller and an engine controller such that the engine always operates with nearly full load-the optimal fuel economy operation. An induction motor is used to supply the peaking power required by the electrically peaking load. The motor can also absorb the excess power of the engine while the load power is less than the peak. This power, along with the regenerative braking power, can be used to charge the batteries on board to maintain the battery state-of-charge (SOC) at a reasonable level. With the electrically peaking principle, two control strategies for the drive train have been developed. One is called maximum battery SOC control strategy, by which the engine and electric motor are controlled so that the battery SOC is maintained at its top level as much as possible. This control strategy may be used in urban driving in which accelerating and decelerating driving is common and high-battery SOC is absolutely important for normal driving. The other control strategy is called engine turn-on and turn-off control by which the engine is controlled to operate in a turn-on and turn-off manner. This control strategy may be used in highway driving. Based on the ELPH principle and the drive train control strategies, a drive train for a full-size five-seat passenger car has been designed and verified using the V-ELPH computer simulation package.

121 citations

Proceedings ArticleDOI
01 Jan 2018
TL;DR: Recurrent Neural Networks based Models: Long-Short-Term-Memory (LSTM) and Gated-Recurrent-Unit (GRU) and GRU-RNN are dealt with to deal with electric load forecasting challenge.
Abstract: Electric load forecasting has a significant role in power grids in order to facilitate the decision making process of energy generation & consumption. Long term forecasting is not feasible as there might be an uncertainty in the prediction because of irregular increase in the demand for power with the growing population and dependency on electric power. Since the behaviour of electric load time series is very much non-linear and seasonal, Neural Networks are best suited model for learning the Non-Linear behaviour within the data and for forecasting purpose. This paper deals with the Recurrent Neural Networks based Models: Long-Short-Term-Memory (LSTM) and Gated-Recurrent-Unit (GRU) to deal with this challenge. Observations have been made based on the distributed implementation of various configurations of LSTM-RNN & GRU-RNN on spark clusters for hyper parameter tuning purpose and deploying best suited configuration with least RMSE value using apache memos resource management.

121 citations

Journal ArticleDOI
TL;DR: In this article, the authors find no evidence that RPSs are associated with increases in renewable energy generation and weak evidence of emissions reductions, and they find that states with RPS experience increases in electricity prices and decreases in electricity demand.
Abstract: Thirty states have adopted renewable portfolio standards (RPSs) that set targets for renewable energy generation by mandating that electric power utilities obtain a minimum percentage of their power from renewable sources. Our synthetic control model finds that states with RPSs experience increases in electricity prices and decreases in electricity demand. We find no evidence that RPSs are associated with increases in renewable energy generation and weak evidence of emissions reductions.

121 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023267
2022678
20211,512
20202,845
20193,476