通过优化发电和需求侧管理实现成本最小化

Sebastian Janocha, S. Baum, I. Stadler
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引用次数: 13

摘要

本文研究了由小型热电联产(CHP)电厂、电池系统和光伏(PV)系统组成的家用能源系统的发电数学优化问题,并同时研究了可移动负荷的优化问题。由于可再生能源的间歇性可用性,有必要在高位发电时储存多余的能量,并在低位发电时提供能量。目前的电力储存系统在经济上还不发达,无法长时间储存大量的能量。昂贵的电力储存的另一种选择是将电力负荷转移到高发电时段,这将更有效和节省成本。事实上,除了优化发电外,还可以同时优化电动可移动负载。与传统的需求侧管理方法(DSM)相比,这种方法不仅应该节省成本和有效,而且效率更高。在传统的需求侧需求管理方法中,需求高峰是在需求较低的时候移动的,这并不一定是最节省成本的方法。该优化应降低整个系统的总成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost minimization by optimization of electricity generation and demand side management
This paper deals with the mathematical optimization of electricity generation of a domestic energy system with different electricity generation systems: a small combined heat and power (CHP) plant, a battery system, and a photovoltaic (PV) system, and simultaneously the optimization of shiftable electric loads. Due to the intermittent availability of renewable sources it is necessary to store the surplus energy in times of higher generation and to provide energy in times of lower generation. Currently electricity storage systems are not economically well developed to store high amounts of energy for long periods of time. An alternative option to expensive electricity storage would be to shift electric loads into periods of time high electricity generation which would be more efficient and cost saving. In fact, beside the optimization of electricity generation it is also possible to optimize simultaneously the electric shiftable loads. This method should not only be cost saving and effective but more efficient compared to the conventional demand side management methods (DSM). In the traditional DSM method, the peak demand is moved in times of lower demand, which not necessarily is the most cost saving method. The optimization should reduce the total costs of the entire system.
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