An Open Energy Routing Network for Low-Voltage Distribution Power Grid

Han, Xiaoyan; Yang, Fengtao; Bai, Cuifen; Xie, Guanglong; Ren, Guang; Hu, Hua; Cao, Junwei

doi:10.1109/icei.2017.63

Cited by 24 publications

(7 citation statements)

References 8 publications

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“…Among them, the energy router should not only realize energy control but also manage and optimize the actual outputs of multienergy power plants at this level [33]. At the same time, realizing the information guarantee, that is, providing a stable and efficient information interaction environment for consultation and information transmission between nodes, is also one of the functions of the energy router [34]. Therefore, this paper designs the transmission and distribution network negotiation mechanism based on the master-slave multichain, as demonstrated in Figure 4.…”

Section: Transmission and Distribution Network Negotiation Mechanism mentioning

confidence: 99%

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Gong

Zhang

et al. 2020

Energies

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With the integration of highly permeable renewable energy to the grid at different levels (transmission, distribution and grid-connected), the volatility on both sides (source side and load side) leading to bidirectional power flow in the power grid complicates the control mechanism. In order to ensure the real-time power balance, energy exchange, higher energy utilization efficiency and stability maintenance in the electric power system, this paper proposes an integrated application of blockchain technology on energy routers at transmission and distribution networks with increased renewable energy penetration. This paper focuses on the safe and stable operation of a highly penetrated renewable energy grid-connected power system and its operation. It also demonstrates a blockchain-based negotiation model with weakly centralized scenarios for “source-network-load” collaborative scheduling operations; secondly, the QoS (quality of service) index of energy flow control and energy router node doubly-fed stability control model were designed. Further, it also introduces the MOPSO (multi-objective particle swarm optimization) algorithm for power output optimization of multienergy power generation; Thirdly, based on the blockchain underlying architecture and load prediction value constraints, this paper puts forward the optimization mechanism and control flow of autonomous energy coordination of b2u (bottom-up) between router nodes of transmission and distribution network based on blockchain.

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Section: Transmission and Distribution Network Negotiation Mechanism mentioning

confidence: 99%

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Gong

Zhang

et al. 2020

Energies

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“…Based on economic dispatching requirement, the corresponding energy routing strategy is reported in [31]. For low-voltage distribution power grids, an open energy routing network has been investigated in [32]. For an islanded microgrid (MG), non-fragile H ∞ controllers are designed for ERs and other controllable power generation devices, such that the DC bus voltage deviation is regulated [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Robust Mixed H2/H∞ Controller Design for Energy Routers in Energy Internet

Qin

Geng

et al. 2019

Energies

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In this paper, a class of mixed H2/H∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro-turbines, fuel cells, diesel engine generators, battery energy storage devices, flywheel energy storage devices, loads, and other ERs. Two types of control targets are considered. First, due to the access of large-scale renewable energy sources, the DC bus voltage deviation within the ER system shall be regulated. Second, an optimal energy management strategy shall be achieved, such that the autonomous power supply-demand balance within each ER is achieved with priority and the rational utilization of controllable power generation devices and energy storage devices are realized. When these objectives are considered simultaneously, the control issues with respect to ER is formulated as a mixed robust H2/H∞ control problem with analytical solutions provided. Several numerical examples are given, and the feasibility and effectiveness of the proposed method are demonstrated.

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“…The MPC‐based ER can play an important role to construct an AC/DC hybrid network as a new form in the medium‐/low‐voltage distributed network for compatibility with existing AC network. For a single ER, a multi‐infeed structure is adopted to reduce the stress of each converter and improve the power supply reliability, furthermore, the energy exchanged between the distributed network and the utility grid can be shared among more than one ERs [10, 11].…”

Section: Introductionmentioning

confidence: 99%