Research on Energy Efficiency Evaluation of Independent Integrated Energy System

Wei, Che; Qiu, Yinfeng; Chen, Junfeng; Wu, Jun; Li, Baolin; Xu, Jianbing; Gan, Peiying; Xing, Xiangyu

doi:10.1109/cieec47146.2019.cieec-2019440

Cited by 1 publication

(1 citation statement)

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“…An integrated energy system (IES), one of the key energy technologies of the future, can effectively solve the large-scale distributed power supply to the grid and reduce the adverse impact on grid operation [1]. However, a traditional stand-alone IES has limited regulation capacity and cannot further consume renewable energy [2]. Multiple integrated energy systems (MIES) [3][4][5] can realize the complementary energy utilization, which has significant advantages in improving the renewable energy consumption rate [6], cutting the system operation cost [7], reducing the power interaction to the main grid [8], and increasing the system's backup capacity [9].…”

Section: Introductionmentioning

confidence: 99%

Research on Low-Carbon Energy Sharing through the Alliance of Integrated Energy Systems with Multiple Uncertainties

et al. 2022

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It is of great significance to introduce the conception of a sharing economy into the electricity industry, which can promote the dispatch of multiple integrated energy systems. On the one hand, it is difficult to reveal the behaviors of complex players with multi-energy coupling through the traditional centralized optimization method of single electric energy. On the other hand, the uncertain fluctuations of renewable energy, such as wind power and photovoltaic, have posed great challenges to market transactions. First, the relationship and the functions of all stakeholders in the system are described in this paper, followed by the establishment of flexible resource models such as demand response and energy storage devices. On this basis, a low-carbon dispatching framework of multiple regional gas–electric integrated energy systems is then constructed under the guidance of cooperative game theory. The contribution indexes are established to measure the degree of energy sharing among the subsystems, and the method of asymmetric Nash bargaining is used to settle the interests of each subsystem. Second, a robust optimization model of multiple regional systems is established in response to multiple uncertainties from renewable energy and load. Finally, the numerical example proves that the proposed mechanism can increase the benefits of each integrated energy system player. Moreover, it helps the system to yield optimal benefits in the face of uncertainties and provides a reference on how to realize energy sharing under uncertainties from source load.

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