基于价格需求响应的储能系统退化成本模型研究

马丙泰; 刘海涛; 郝思鹏; 陆恒; 张埕瑜

doi:10.19912/j.0254-0096.tynxb.2022-0980

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 531-540. DOI: 10.19912/j.0254-0096.tynxb.2022-0980

基于价格需求响应的储能系统退化成本模型研究

马丙泰¹, 刘海涛^1,2, 郝思鹏^1,2, 陆恒¹, 张埕瑜¹

作者信息 +

RESEARCH ON DEGRADATION COST MODEL OF ENERGY STORAGE SYSTEM BASED ON PRICE DEMAND RESPONSE

Ma Bingtai¹, Liu Haitao^1,2, Hao Sipeng^1,2, Lu Heng¹, Zhang Chengyu¹

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文章历史 +

摘要

为提升微电网经济效益,需充分考虑新能源发电的间歇性和混合储能系统（HESS）的高成本问题。提出一种基于价格型需求响应的HESS微网双层预测能量管理系统（EMS）模型。考虑价格对需求响应的影响,基于HESS的放电深度和使用寿命的退化成本;对电池和超级电容器的长期成本进行建模,并转换为实时的短期成本。双层EMS中上层实现基于价格需求响应条件下总运营成本最小化,下层降低由预测误差引起的波动及负荷功率变化带来的影响,以保持较高的系统稳定性。算例从不同的预测时间范围和预测准确性两种情况进行分析,表明了两层EMS的有效性;考虑价格需求响应后,超级电容器能够快速平抑因价格调整引起的负荷功率变动;同时降低了电池平均退化成本及系统平均运营成本,提升经济效益。

Abstract

In order to improve the economic benefits of microgrids, it is necessary to fully consider the intermittent of new energy power generation and the high cost of hybrid energy storage system （HESS）. This paper presents a microgrid double-layer predictive energy management system （EMS） model based on price demand response. Considering the impact of price on demand response, based on the degradation cost of HESS depth of charge and service life. The long-term cost of battery and supercapacitor is modeled and converted into real-time short-term cost. Based on the price demand response, the upper layer of the double-layer EMS minimizes the total operating cost, and the lower layer reduces the impact caused by the fluctuation of prediction error and change of load power, so as to maintain system stability. The example analysis shows the effectiveness of two-layer EMS from two aspects： different prediction time range and prediction accuracy. When considering the price demand response, the supercapacitor can quickly stabilize the load power change which caused by price adjustment. Simultaneously, it reduces the average battery degradation cost and operation cost of the system and improves the economic benefits of the system.

导出引用

马丙泰, 刘海涛, 郝思鹏, 陆恒, 张埕瑜. 基于价格需求响应的储能系统退化成本模型研究[J]. 太阳能学报. 2023, 44(10): 531-540 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0980

Ma Bingtai, Liu Haitao, Hao Sipeng, Lu Heng, Zhang Chengyu. RESEARCH ON DEGRADATION COST MODEL OF ENERGY STORAGE SYSTEM BASED ON PRICE DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 531-540 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0980

中图分类号： TM614

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