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A cost-emission model for fuel cell/PV/battery hybrid energy system in the presence of demand response program: c-constraint method and fuzzy satisfying approach

机译:存在需求响应程序的燃料电池/光伏/电池混合能源系统成本-排放模型:c约束法和模糊满足法

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摘要

Optimal operation of hybrid energy systems is a big challenge in power systems. Nowadays, in addition to the optimum performance of energy systems, their pollution issue has been a hot topic between researchers. In this paper, a multi-objective model is proposed for economic and environmental operation of a battery/fuel cell photovoltaic (PV) hybrid energy system in the presence of demand response program (DRP). In the proposed paper, the first objective function is minimization of total cost of hybrid energy system. The second objective function is minimization of total CO2 emission which is in conflict with the first objective function. So, a multi-objective optimization model is presented to model the hybrid system's optimal and environmental performance problem with considering DRP. The proposed multi-objective model is solved by epsilon-constraint method and then fuzzy satisfying technique is employed to select the best possible solution. Also, positive effects of DRP on the economic and environmental performance of hybrid system are analyzed. A mixed-integer linear program is used to simulate the proposed model and the obtained results are compared with weighted sum approach to show the effectiveness of proposed method. (C) 2017 Elsevier Ltd. All rights reserved.
机译:混合能源系统的最佳运行是电力系统中的一大挑战。如今,除了能源系统的最佳性能外,它们的污染问题一直是研究人员之间的热门话题。本文提出了一个多目标模型,用于在存在需求响应程序(DRP)的情况下,电池/燃料电池光伏(PV)混合能源系统的经济和环境运行。在本文中,第一个目标函数是最小化混合能源系统的总成本。第二个目标函数是使总的CO2排放量最小化,这与第一个目标函数相冲突。因此,提出了一种考虑DRP的多目标优化模型,以对混合系统的最优和环境性能问题进行建模。利用ε约束方法对提出的多目标模型进行求解,然后采用模糊满足技术选择最优解。此外,分析了DRP对混合动力系统的经济和环境绩效的积极影响。使用混合整数线性程序对所提出的模型进行仿真,并将所得结果与加权和方法进行比较,以证明所提出方法的有效性。 (C)2017 Elsevier Ltd.保留所有权利。

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