Compared with independent scheduling, the coupled scheduling of integrated energy system can effectively reduce the operating cost and improve the consumption of renewable energy, which has become a major research hot...
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Compared with independent scheduling, the coupled scheduling of integrated energy system can effectively reduce the operating cost and improve the consumption of renewable energy, which has become a major research hotspot. However, in an integrated system, uncertainties from one area could directly affect another, which could reduce the reliability and result in instability of the whole integrated energy system. This paper constructs a power-gas-heating integrated system based on energy routers and energy routing algorithm to study the day-ahead coordinated optimal scheduling strategy. At the same time, the power and natural gas flow are comprehensively considered, and the structure of the multi-port energy router with integrated energy and the energy routing algorithm are proposed to realize the power optimization and energyrouting between the power, gas and heating networks. The numerical case studies illustrate that the energy router and proposed cooperative scheduling strategy can improve the energy supply reliability, scheduling flexibility, renewable energy consumption and economic benefits of the integrated energy system. (C) 2022 The Author(s). Published by Elsevier Ltd.
For the energy transmission problem in the energy Internet,this paper establishes a multi-layer supply and demand topology of the energy router based on the multi-layer nodes of the adjacent points of the demand routi...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
For the energy transmission problem in the energy Internet,this paper establishes a multi-layer supply and demand topology of the energy router based on the multi-layer nodes of the adjacent points of the demand routing *** comprehensively considering the transaction price of energy and the loss in the transmission process,an energy routing algorithm based on the transaction price and loss is proposed to determine the optimal transaction energyrouting pair and the energyrouting strategy of the non-congested optimal ***;taking a 9-MG system(9-nodes energy network) as an example,the energy transmission strategies with congestion and without congestion are given to verify the effectiveness and merit of the method proposed in this paper.
The energy Internet (EI) is a power system evolution that aims to incorporate renewable energy into the energy network, reduce the size and cost of energy storage devices, and improve energy efficiency. Furthermore, t...
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ISBN:
(纸本)9781665479080
The energy Internet (EI) is a power system evolution that aims to incorporate renewable energy into the energy network, reduce the size and cost of energy storage devices, and improve energy efficiency. Furthermore, the development of the peer-to-peer energy trading market, which allows any subscriber to participate in the energy trading process, has raised the necessity of the energyrouting process. Subscriber matching, energy-efficient paths, and transmission scheduling issues must all be considered throughout the energyrouting process. Based on graph theory, this paper suggested a novel routing approach inspired by bees' colony foraging behavior to address routing issues. The bees' colony-inspired energyrouting approach was developed to determine a non-congestion minimum loss path and the optimal energy producers to satisfy the consumer request while considering power and time restrictions. Furthermore, this technique supports single-source consumers, multi-source consumers, and multiple consumers' scenarios. The performance of the proposed protocol is compared to an existing method in the literature in terms of power losses, congestion management, and computation time. The suggested method's performance and adaptability have been validated in several different scenarios.
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