Local Energy Market Design for Power- and Hydrogen-Based Microgrids Considering a Hybrid Uncertainty Controlling Approach
Local Energy Market Design for Power- and Hydrogen-Based Microgrids Considering a Hybrid Uncertainty Controlling Approach
复制标题
DOI：
10.1109/tste.2023.3288745
复制
发表时间：
2024-01
影响因子：
8.8
通讯作者：
Amin Mansour Saatloo;Abbas Mehrabi;M. Marzband;M. Mirzaei;N. Aslam
中科院分区：
文献类型：
--
作者：
Amin Mansour Saatloo;Abbas Mehrabi;M. Marzband;M. Mirzaei;N. Aslam
尽管插电式电动汽车(PEV)和燃料电池电动汽车(FCEV)具有显著的优点，但它们的巨大崛起在能源供应方面构成了严重的挑战。本研究提出了以电力和绿色氢气为能源载体的微电网(MG)概念下的可持续能源平台，将PEV和FCEV集成在一起，即所谓的集成电力，以及氢气MG(IPHMG)。此外，还开发了一个分散的市场清算模型，以使附近的IPHMG能够在当地能源市场(LEM)中进行互动。LEM由一个负责电力和氢气的中央管理器运行。为此，移动边缘计算(MEC)系统被提出将计算从中央云服务器转移到分散的边缘服务器，从而减轻了计算负担，提高了数据的安全性和保密性。此外，采用快速交替方向乘子法(FAST-ADMM)对问题进行分解。此外，通过引入一种三级不确定性控制方法来充分考虑不确定参数，进一步提高了不确定性管理的水平。研究结果表明，通过在LEM中进行能量交易，IPHMGs社区可以降低5.86%的总成本，所提出的混合不确定性管理模型可以保护社区免受不确定性的影响，降低8.08%的总成本。
Despite the significant merits of plugin electric vehicles (PEVs) and fuel cell electric vehicles (FCEVs), their enormous rise has posed serious challenges in terms of energy supply. This research proposes a sustainable energy platform to integrate PEVs and FCEVs under the concept of microgrid (MG) with power and green hydrogen as energy carriers, so-called integrated power, and hydrogen MG (IPHMG). In addition, a decentralized market clearing model is developed to enable the nearby IPHMG to interact in a local energy market (LEM). The LEM is run by a central manager for both power and hydrogen. To do so, the mobile edge computing (MEC) system is proposed to move the computation from a central cloud server to decentralized edge servers, causing to reducing the computational burden and increasing data security and privacy. Moreover, the fast alternating direction method of multipliers (fast-ADMM) is employed to decompose the problem. Further, this work advances the state-of-the-art in uncertainty management by introducing a tri-level uncertainty controlling approach to fully consider the uncertain parameters. According to the obtained results, the community of IPHMGs could reduce 5.86% of total cost by trading energy in the LEM and the presented hybrid uncertainty management model could protect the community against uncertainties by reducing the total cost by 8.08%.