Hybrid energy system sizing incorporating battery storage: An analysis via simulation calculation
Hybrid energy system sizing incorporating battery storage: An analysis via simulation calculation
复制标题
包含电池存储的混合能源系统规模：通过模拟计算进行分析
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
M. Sharma
中科院分区：
文献类型：
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作者：
Ajai Gupta;R. Saini;M. Sharma
在实际分散的混合能源系统中，经常会有不同的可再生/常规发电机和蓄电池。系统组件的过大尺寸显著提高了混合能源系统的总体成本。在这方面，正确和具有成本效益的系统规模以及有效的系统运行是重要的。为了确定系统部件的最优规模，在对由小微水电、沼气、生物质、光伏阵列、电池组和化石燃料发电机组成的混合能源发电系统的优化系统单位成本进行评估的基础上，建立了混合整数线性数学规划模型(时间序列)。提出了一种用C++编写的基于组合调度策略的优化控制算法，可以方便地处理能源系统元件的模型和数据。部件的尺寸结果基于系统的最优成本和其他技术经济参数之间的权衡，如结合时间序列模型的算法所确定的。为了说明模型和算法的应用，还给出了一个应用实例。
In practical decentralized hybrid energy systems, there are often different renewable/conventional generators and battery storage. An over sizing of the system components significantly elevates the overall cost of the hybrid energy system. In this context the correct and cost effective system sizing as well as efficient system operation is important. In order to determine the optimal sizing of system components, a mixed integer linear mathematical programming model (time-series) has been developed, based on the evaluation of optimized system unit cost for a hybrid energy generation system consisting of small/micro hydro, biogas, biomass, photovoltaic array, a battery bank and a fossil fuel generator. An optimum control algorithm written in C++, based on combined dispatch strategy, allowing easy handling of the models and data of energy system components is presented. The sizing result of the components is based on a trade-off between the optimized cost of the system and other techno-economics parameters, as determined by the algorithm in conjunction with a time-series model. To demonstrate the use of model and algorithm, an application example is also presented.