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Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program

机译:在存在需求响应程序的情况下,燃料电池/光伏/电池/电网混合能源系统的最优随机短期热电运行

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In this paper, cost-efficient operation problem of photovoltaic/battery/fuel cell hybrid energy system has been evaluated in the presence of demand response program. Each load curve has off-peak, mid and peak time periods in which the energy prices are different. Demand response program transfers some amount of load from peak periods to other periods to flatten the load curve and minimize total cost. So, the main goal is to meet the energy demand and propose a cost-efficient approach to minimize system's total cost including system's electrical cost and thermal cost and the revenue from exporting power to the upstream grid. A battery has been utilized as an electrical energy storage system and a heat storage tank is used as a thermal energy storage system to save energy in off-peak and mid-peak hours and then supply load in peak hours which leads to reduction of cost. The proposed cost-efficient operation problem of photovoltaic/battery/fuel cell hybrid energy system is modeled by a mixed-integer linear program and solved by General algebraic modeling system optimization software under CPLEX solver. Two case studies are investigated to show the effects of demand response program on reduction of total cost. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文在存在需求响应程序的情况下,评估了光伏/电池/燃料电池混合能源系统的经济高效运行问题。每个负载曲线都有非高峰时段,中间时段和高峰时段,在这些时段中,能源价格不同。需求响应程序将一定量的负载从高峰时段转移到其他时段,以使负载曲线平坦并最大程度地降低总成本。因此,主要目标是满足能源需求,并提出一种经济高效的方法,以最小化系统的总成本,包括系统的电力成本和热成本以及向上游电网输出电力的收入。电池已被用作电能存储系统,而储热罐被用作热能存储系统,以在非高峰时段和高峰时段节省能量,然后在高峰时段节省负载,从而降低了成本。利用混合整数线性程序对光伏/电池/燃料电池混合能源系统提出的具有成本效益的运行问题进行建模,并通过CPLEX求解器下的通用代数建模系统优化软件对其进行求解。调查了两个案例研究,以显示需求响应计划对降低总成本的影响。 (C)2017 Elsevier Ltd.保留所有权利。

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