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Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 446-446 doi: 10.1007/s11708-022-0851-7

Abstract: Owing to increased penetration of three-phase and single-phase microgrids, distributed energy resourcesExisting literature on distributed energy management for networked microgrids generally neglects thedistribution network or employs a simplified phase balanced distribution network; thus, these evaluationsunbalanced distribution network.loads with guaranteed network constraints, and preserves the privacy of microgrid customers.

Keywords: distributed optimization     energy management     networked microgrids     three-phase distribution network     distributed energy resources    

Data-driven distribution network topology identification considering correlated generation power of distributedenergy resource

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 121-129 doi: 10.1007/s11708-021-0780-x

Abstract: paper proposes a data-driven topology identification method for distribution systems with distributed energyFirst, a neural network is trained to depict the relationship between nodal power injections and voltagea maximal information coefficient-based maximum spanning tree algorithm is developed to obtain the network

Keywords: power distribution network     data-driven     topology identification     distributed energy resource     maximal    

P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 189-197 doi: 10.1007/s11708-023-0873-9

Abstract: Peer-to-peer (P2P) energy trading is an emerging energy supply paradigm where customers with distributedenergy resources (DERs) are allowed to directly trade and share electricity with each other.P2P energy trading can facilitate local power and energy balance, thus being a potential way to manageIt is of great importance to explore P2P energy trading via public power networks, to which most DERsFinally, the way forward for facilitating P2P energy trading via public power networks is proposed.

Keywords: distribution network     local virtual private network     network charges     peer-to-peer (P2P) energy trading    

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Train speed profile optimization is an efficient approach to reducing energy consumption in urban railexisting studies that assume deterministic parameters as model inputs, this paper proposes a robust energy-efficientSpecifically, we first construct a scenario-based position–time–speed (PTS) network by considering resistancereliability model is proposed to generate a robust train speed profile, by which the scenario-based energymodel efficiently, we present several algorithms to eliminate the infeasible nodes and arcs in the PTS network

Keywords: robust train speed profile     percentile reliability model     scenario-based position–time–speed network    

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforcedcomposite plates using modal kinetic energy

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1453-1479 doi: 10.1007/s11709-021-0767-z

Abstract: This paper proposes a new Deep Feed-forward Neural Network (DFNN) approach for damage detection in functionallyThe elemental modal kinetic energy (MKE) values, calculated from natural frequencies and translationalA trial-and-error procedure is implemented to determine suitable parameters of the network such as the

Keywords: feed-forward neural networks     functionally graded carbon nanotube-reinforced composite plates     modal kinetic energy    

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: a method to optimize TBM control parameters using an improved loss function-based artificial neural networkInspired by the regularization technique, a custom artificial neural network (ANN) loss function basedon the penetration rate and rock-breaking specific energy as TBM performance indicators is developedin the form of a penalty function to adjust the output of the network.the TBM penetration rate by 14.85% and 13.71%, respectively, and reduces the rock-breaking specific energy

Keywords: boring machine     control parameter optimization     quantum particle swarm optimization     artificial neural network     tunneling energy efficiency    

Technological development of multi-energy complementary system based on solar PVs and MGT

Xiaojing LV, Yu WENG, Xiaoyi DING, Shilie WENG, Yiwu WENG

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 509-517 doi: 10.1007/s11708-018-0598-3

Abstract:

The complementary micro-energy network system consisting of solar photovoltaic power generation (solarand the demand of actual work, this research described the domestic and foreign development of micro-energynetwork system based on solar PVs and MGT.Moreover, it analyzed the challenges and future development regarding the micro-energy network systemFurthermore, it predicted the future development of the key technology of the multi-energy complementary

Keywords: renewable energy     solar photovoltaic power generation     micro gas turbine     multi-energy complementary system     micro-energy network    

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 251-265 doi: 10.1007/s11708-022-0857-1

Abstract: coupling between electricity and gas networks, promoting the development of the integrated electricity-gas networkand strengthening the interaction between the active-reactive power flow in the power distribution network(PDN) and the natural gas flow in the gas distribution network (GDN).relationship between the subsystems of the IEGN, the potentialities of the IEGN with MMGs toward multi-energyA test system consisting of an IEEE-33 test system and a 7-node natural gas network is adopted to verify

Keywords: combined cooling     heating     and power (CCHP)     integrated energy systems (IES)     natural gas     power distribution    

Surface hydrophobicity: effect of alkyl chain length and network homogeneity

Wenqian Chen, Vikram Karde, Thomas N. H. Cheng, Siti S. Ramli, Jerry Y. Y. Heng

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 90-98 doi: 10.1007/s11705-020-2003-0

Abstract: nm) as the model material, the current study investigates the relationship between the alkyl chain networkThe homogeneity of the octyl-chain network also has a significant effect on hydrophobicity, as the water

Keywords: hydrophobicity     surface energy     wettability     alkyl chain network     silica nanoparticle    

Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 533-540 doi: 10.15302/J-FEM-2018025

Abstract:

This study aims to find appropriate locations for wind farms that can maximize the overall energyHowever, balancing the wind energy supplies over time by selecting diverse locations is necessary.These issues are addressed using network-based models.

Keywords: wind energy     wind farm location     network analysis     optimization     clique     s-plex    

performance of an innovative method of using heave response of a non-floating object for ocean wave energy

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11708-013-0268-4

Abstract: To convert wave energy into usable forms of energy by utilizing heaving body, heaving bodies (buoys)mechanical power takeoff is used to convert this up and down motion of the buoy to produce usable forms of energyThough using a floating buoy for harnessing wave energy is conventional, this device faces many challengesIn the present paper, an innovative heaving body type of wave energy converter with a non-floating objectThe device was modeled in artificial neural network (ANN), the heave response for various parameters

Keywords: ocean wave energy     point absorbers     heaving body     non-floating object     heave response ratio     artificial neuralnetwork (ANN)    

Development Strategy for Energy System of Land Transport in China

Yang Yongping, Wu Ping, Cheng Peng, Shi Ruifeng, Tian Xinshou

Strategic Study of CAE 2022, Volume 24, Issue 3,   Pages 153-162 doi: DOI 10.15302/J-SSCAE-2022.03.016

Abstract:

Considering the high-quality development of the energy sector in China, the integration of energy and transport sectors can facilitate the low-carbon, high-efficiency, andThis study reviewed the development status and trend of the energy system for land transport and proposedintegrated network—are analyzed from the energy-dominated, transport-dominated, and energy-transportTherefore, it is essential to promote a modern transport energy system that is dominated by renewable

Keywords: land transport     transport energy system     interconnected power grid     electrified transportation     energy-transportintegrated network    

Cross-layer efforts for energy-efficient computing: towards peta operations per second perwatt Perspectives

Xiaobo Sharon HU, Michael NIEMIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 10,   Pages 1209-1223 doi: 10.1631/FITEE.1800466

Abstract: slowing down, there is increasing interest in new technologies and computational models for fast and more energy-efficientThis study examines energy-efficient neural network accelerators for embedded applications in this contextSeveral deep neural network accelerator designs based on cross-layer efforts spanning from alternativethat cross-layer efforts indeed can lead to orders of magnitude gain towards achieving extreme-scale energy-efficient

Keywords: Moore’s law     Energy-efficient computing     Neural network accelerators     Beyond-CMOS devices    

核能发展国际高端论坛 International Summit on Nuclear Energy Development

Conference Date: 15 May 2019

Conference Place: 中国

Administered by: 中国工程院

Title Author Date Type Operation

Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

Journal Article

Data-driven distribution network topology identification considering correlated generation power of distributedenergy resource

Journal Article

P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward

Journal Article

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Journal Article

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforcedcomposite plates using modal kinetic energy

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Technological development of multi-energy complementary system based on solar PVs and MGT

Xiaojing LV, Yu WENG, Xiaoyi DING, Shilie WENG, Yiwu WENG

Journal Article

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Journal Article

Surface hydrophobicity: effect of alkyl chain length and network homogeneity

Wenqian Chen, Vikram Karde, Thomas N. H. Cheng, Siti S. Ramli, Jerry Y. Y. Heng

Journal Article

Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Journal Article

performance of an innovative method of using heave response of a non-floating object for ocean wave energy

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Journal Article

Development Strategy for Energy System of Land Transport in China

Yang Yongping, Wu Ping, Cheng Peng, Shi Ruifeng, Tian Xinshou

Journal Article

Liu Yingjun: A Two-Tier Coordinated Dispatching Model of Micro Energy Network Considering Different EnergyConversion Strategies and Energy Demand (2020-7-11)

19 May 2022

Conference Videos

Cross-layer efforts for energy-efficient computing: towards peta operations per second perwatt

Xiaobo Sharon HU, Michael NIEMIER

Journal Article

核能发展国际高端论坛 International Summit on Nuclear Energy Development

15 May 2019

Conference Information