scispace - formally typeset
Search or ask a question
Topic

Smart grid

About: Smart grid is a research topic. Over the lifetime, 37536 publications have been published within this topic receiving 627844 citations. The topic is also known as: intelligent grid.


Papers
More filters
Journal ArticleDOI
TL;DR: A novel adaptive blockchain-based electric vehicle participation (AdBEV) scheme that uses the Iceberg order execution algorithm to obtain an improved EV charging and discharging schedule is proposed and simulation results show the proposed scheme outperforms the scheme that applying genetic algorithm approach in terms of lowering the power fluctuation level and overall charging costs.
Abstract: The electric vehicle (EV) charging scheme can reduce the power generation costs and improve the smart grid resilience. However, the huge penetrations of EVs can impact the voltage stability and operating costs. In this paper, a novel EV participation charging scheme is proposed for a decentralized blockchain-enabled smart grid system. Our objectives are to minimize the power fluctuation level in the grid network and the overall charging cost for EV users. We first formulate the power fluctuation level problem of the smart grid system that take into accounts of EV battery capacities, charging rates, and EV users charging behavior. And then, we propose a novel adaptive blockchain-based electric vehicle participation (AdBEV) scheme that uses the Iceberg order execution algorithm to obtain an improved EV charging and discharging schedule. The simulation results show the proposed scheme outperforms the scheme that applying genetic algorithm approach in term of lowering the power fluctuation level and overall charging costs.

153 citations

Journal ArticleDOI
TL;DR: A novel hybrid short-term electric load forecasting model is proposed, an integrated framework of data pre-processing and feature selection module, training and forecasting module, and an optimization module that is validated by comparing it with four recent forecasting models like Bi-level, mutual information-based artificial neural network (MI-ANN), ANN-based accurate and fast converging (AFC- ANN), and long short- term memory (LSTM) in terms of accuracy and convergence rate.

153 citations

Journal ArticleDOI
TL;DR: This survey provides a comprehensive one-stop introductory reference to quickly learn about the key features and technical challenges, addressed by existing PHEV battery charging schemes in smart grid.
Abstract: Plug-in hybrid electric vehicles (PHEVs) have emerged as an important tool in reducing greenhouse gas emissions, due to their lower dependency on fossil fuel. Since, for cost efficiency, PHEVs have a limited battery capacity, they must be recharged often and especially after trips. Thus, efficient battery charging plays an important role on the success of PHEVs commercial adoption. This paper surveys the state-of-the-art of existing PHEV battery charging schemes. We classify these schemes into four classes, namely, uncontrolled , indirectly controlled , smart , and bidirectional charging, and review various existing techniques within each class. For uncontrolled charging, existing studies focus on evaluating the impact of adding variable charging load on the smart grid. Various indirectly controlled charging schemes have been proposed to control energy prices, in order to indirectly influence the charging operations. Smart charging schemes can directly control a rich set of charging parameters to achieve various performance objectives, such as minimizing power loss, maximizing operator’s profit, ensuring fairness, and so on. Finally, bidirectional charging allows a PHEV to discharge energy into smart grid, such that the vehicle can act as a mobile energy source to further stabilize the grid, which is partially supplied by intermittent renewable energy sources. This survey provides a comprehensive one-stop introductory reference to quickly learn about the key features and technical challenges, addressed by existing PHEV battery charging schemes in smart grid.

153 citations

Journal ArticleDOI
TL;DR: In this paper, the authors support defining energy storage as a distinct asset class within the electric grid system, supported with effective regulatory and financial policies for development and deployment within a storage-based smart grid system in which storage is placed in a central role.
Abstract: Traditional energy grid designs marginalize the value of information and energy storage, but a truly dynamic power grid requires both. The authors support defining energy storage as a distinct asset class within the electric grid system, supported with effective regulatory and financial policies for development and deployment within a storage-based smart grid system in which storage is placed in a central role. This would enhance load and market operations through realization of the full range and value of services from storage technologies. Energy storage technologies provide significant opportunities to further enhance the efficiency and operation of the grid. Its ability to provide application-specific energy services across different components of the grid make it uniquely suited to respond quickly and effectively to signals throughout the smart grid. Therefore, energy storage as a distinct asset class will increase the value of storage investments while enhancing the operation of the smart grid. To further this goal, storage requires policy support. Research, development and demonstration (RDD investment tax credits will accelerate investment in storage projects; and continued market deregulation will augment revenue streams, enhance competition, and provide more accurate prices for storage services.

153 citations

Journal ArticleDOI
TL;DR: In this paper, an interactive building power demand management strategy for the interaction of commercial buildings with a smart grid and facilitating the grid optimization is presented, where a simplified building thermal storage model is developed for predicting and characterizing power demand alteration potentials of individual buildings together with a model for predicting the normal power demand profiles of buildings.

153 citations


Network Information
Related Topics (5)
Electric power system
133K papers, 1.7M citations
94% related
Wireless sensor network
142K papers, 2.4M citations
85% related
Control theory
299.6K papers, 3.1M citations
84% related
Wireless
133.4K papers, 1.9M citations
83% related
Wireless network
122.5K papers, 2.1M citations
83% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
20231,334
20223,167
20212,356
20202,968
20193,278