【Applied Energy最新原创论文】如何设计与调度综合能源系统?

发布于 2022-06-03 20:31

原文信息:

A novel planning method for design and dispatch of hybrid energy systems

原文链接:

https://www.sciencedirect.com/science/article/pii/S0306261922006857

Highlights

• A planning method considering the operation status of power generation unit and energy storage units is proposed.

• A multi-objective evaluation framework is constructed for the design and dispatch of hybrid energy system.

• The electrical and thermal matching performances are introduced as two additional indicators.

摘要

       将可再生能源技术与天然气冷、热、电联合供应技术相结合的综合能源系统是提供低碳能源和促进可持续发展的好方式。但是,两种技术的结合需要更先进的管理调度策略。因此,本文提出了一种新的规划方法来优化设计和调度综合能源系统,该系统由发电机组、吸收式冷热水器、地源热泵、光伏板、太阳能集热器、储水箱和电池组成。根据发电机组和储能机组的运行状况,考虑发电机组效率波动和电网电价变化,本文设计了六种调度策略。同时,除了经济、能源和环境特性外,本文还引入了用于评估电气匹配性能的电网集成水平和用于评估热匹配性能的热能浪费水平作为两个附加指标。然后,本文采用自适应模拟二进制交叉的改进非支配排序遗传算法求解多目标优化模型,该模型考虑了经济、能源和环境性能,并将三者的匹配性能作为目标函数。通过TOPSIS法从帕累托前沿解中选择最优解。案例研究结果表明,日变策略下的发电机组与全时模式下的储能技术相结合是最佳的运行策略。最佳经济、能源和环境指标分别为359373.37美元、2914623.42千瓦时和720663.80千克。在最佳设备容量方面,一半以上的太阳能安装面积用于光伏板配置;储水箱的容量几乎是电池容量的3倍。此外,当考虑匹配性能时,不可控设备的容量会降低。本文将光伏板的容量从465 kW降至357 kW,以提高电气匹配性能,而为了更高的热匹配性能,不采用太阳能集热器为妙。同时,发电机组作为一个可控元件,在调节匹配性能方面起着重要作用。

更多关于"hybrid energy systems"的研究请见:

https://www.sciencedirect.com/search?qs=%20hybrid%20energy%20systems&pub=Applied%20Energy&cid=271429

Abstract

The hybrid energy systems that integrate renewable technologies with natural gas combined cooling, heating and power technologies are an excellent way to provide low-carbon energy and promote sustainable development. Simultaneously, the hybridization of two technologies necessitates more advanced management strategy. Thus, this paper proposes a novel planning method to optimally design and dispatch the hybrid energy system that consists of power generation unit, absorption chiller/heater, ground source heat pump, photovoltaic panel, solar thermal collector, water storage tank and battery. According to the operation status of power generation unit and energy storage units, six dispatching strategies are designed, which consider the efficiency fluctuation of power generation unit and the electricity price variation of the utility grid. At the same time, in addition to the economy, energy and environment performance, the grid integration level for assessing the electrical matching performance and the thermal energy waste level for evaluating the thermal matching performance are introduced as two additional indicators. Then, the modified non-dominated sorting genetic algorithm with adaptive simulated binary crossover is utilized to solve the multi-objective optimization model that considers economic, energy and environmental performance with and without the matching performances as objective functions. The best solution is selected from Pareto frontier solutions through TOPSIS method. The results of the studied case demonstrate that the combination of power generation unit under daily change strategy and energy storage technologies under full-time mode is the best operational strategy. The optimal economy, energy and environment indicators are respectively 359373.37 $, 2914623.42 kWh and 720663.80 kg. As for the optimal equipment capacity, more than half of the available solar area is used for photovoltaic panel installation; the capacity of water storage tank is almost 3 times that of battery. Besides, when matching performances are considered, the capacity of uncontrollable equipment is decreased. The capacity of photovoltaic panel is reduced from 465 kW to 357 kW to improve the electrical matching performance. For the purpose of better thermal matching performance, solar thermal collector is not adopted. In addition, the power generation unit as a controllable component plays an important role in adjusting the matching performances.

Keywords

Combined cooling heating and power 

Geothermal energy 

Solar energy 

Matching performances 

Multi-objective evaluation

Graphics

Fig. 1. The schematic diagram of hybrid energy system.

Fig. 2. The operation strategies of hybrid energy system.

Fig. 3. The evaluation procedures of hybrid energy system.

关于Applied Energy

本期小编:夏元兴;审核人:姜铭琨。


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