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Optimal operation of energy hubs integrated with renewable energy sources and storage devices considering CO_2 emissions

机译:考虑CO_2排放的,与可再生能源和存储设备集成的能源枢纽的最佳运行

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Electricity production, heat, and cooling requirements are one of the main problems for energy distribution network businesses. Different energy grids like gas and electricity run concurrently as a particular solution for overcoming the issue. "Energy Hub" (EH) is a vague approach for an energy center composed of electricity, gas, heat and at times cooling networks. Energy hub systems can be considered as a powerful alternative to improve the use of existing energy resources. This paper proposes a novel technique for optimum operation and configuration of multiple energy hubs. The proposed EH contains different types of energy sources and generation with multi-type energy storage devices to feed electrical, heating and gas demands. The EH contains renewable energy resources (wind and PV), combined heat and power cogeneration, power-to-gas units and gas-fired generator to provide interdependencies of infrastructures for these energy sources. Uncertainties of both wind and PV energy resources are considered in this study. A multi-objective optimization problem is formulated to maximize social welfare and minimize CO2 emissions. Genetic Algorithm (GA) is used to solve the overall optimization problem. The impact of the hub configuration on the EHs stability and security are examined. The proposed model is tested on IEEE 69 bus through several case studies to examine its effectiveness and applicability. A comparative analysis is conducted between different configurations of the EH. The comparison proved that the best performance in terms of configuration, operational, emissions, and stability is obtained with a combination of PV generator, wind turbine, electrical storage, thermal storage, natural gas storage, and power to gas unit.
机译:电力生产,供热和制冷需求是能源分配网络业务的主要问题之一。作为解决此问题的特定解决方案,天然气和电力等不同的能源网格可以同时运行。 “能源枢纽”(EH)对于由电,气,热和有时是冷却网络组成的能源中心而言,是一种模糊的方法。能源枢纽系统可以被视为改善现有能源利用的有力替代方案。本文提出了一种用于优化多个能源枢纽的最佳运行和配置的新技术。提议的EH包含不同类型的能源,并通过多种类型的储能设备进行发电,以满足电力,热力和天然气的需求。 EH包含可再生能源(风能和PV),热电联产,热电联产和燃气发电机,为这些能源的基础设施提供相互依存关系。这项研究考虑了风能和光伏能源的不确定性。制定了一个多目标优化问题,以最大程度地提高社会福利和减少CO2排放量。遗传算法(GA)用于解决总体优化问题。研究了集线器配置对EH稳定性和安全性的影响。通过几个案例研究,在IEEE 69总线上对提出的模型进行了测试,以检验其有效性和适用性。在EH的不同配置之间进行了比较分析。比较结果表明,结合使用光伏发电机,风力涡轮机,蓄电,蓄热,天然气,天然气和动力装置,可以在配置,运行,排放和稳定性方面获得最佳性能。

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