计及电热混合储能的多源微网自治优化运行模型

Autonomous Optimization Operation Model for Multi-source Microgrid Considering Electrothermal Hybrid Energy Storage

针对传统电池储能存在成本较高,频繁充放电易导致寿命降低的问题,建立基于电热、电氢、氢电及氢热能量转换方程的电热混合储能模型,并在此基础上提出一种微网自治运行策略。该文首先研究无电池储能的热电联合微网系统中加入电转氢(power to hydrogen,P2H)设备,形成了含电热氢综合能量的储能系统,建立一种以微燃机、电转氢设备和电锅炉为核心的电热混合储能(electro-thermal energy storage system,ETSS)模型。其次,以微网内多种能源综合运行成本最低和最大化消纳弃风为目标,建立电热混合储能系统多目标运行模型,进而提出微网多能源自治运行策略。最后以我国北方地区某多能源微网为例,建立基于电热混合储能的多源微网自治优化运行仿真模型。算例结果分析表明,与含传统电池储能热电联合型微网相比,采用电热混合储能的多源微网系统具有较好的灵活性和经济性,并能够提高风电的消纳能力。

In view of the high cost of traditional battery energy storage and reduced battery life caused by frequent charge and discharge,the electrothermal hybrid energy storage model based on electrothermal,electro hydrogen,hydrogen and hydrogen heat energy conversion equations is established,and a microgrid autonomous operation strategy was proposed on such basis.Firstly,in this paper,the power to hydrogen(P2 H)equipment in the thermoelectric combined microgrid system without battery energy storage was studied,an energy storage system containing the integrated energy of electric heating hydrogen was formed,and micro-combustion machine,electric hydrogen transfer equipment and electric boiler based electrothermal energy storage system(ETSS)model was established.For lowering comprehensive operating cost of multiple energy sources in the microgrid and maximizing the consumption of curtailed wind,the multi-objective scheduling model of electrothermal hybrid energy storage system was established,and the multi-energy autonomous operation strategy of microgrid was proposed.At last,a multi-source microgrid autonomous control simulation model based on electrothermal hybrid energy storage was established by taking a multi-energy microgrid in northern China as an example;the results of the example showed that compared with the traditional battery-storage electrothermal microgrid,multi-source microgrid system using electrothermal hybrid energy storage has better flexibility and economy,and can improve the wind power accommodation.