| 引用本文: | 唐小波,邓 凯,冯雨龙,李 雯,包宇庆.一种基于火焰传播模型的储能容量优化方法[J].电力系统保护与控制,2020,48(16):54-61.[点击复制] |
| TANG Xiaobo,DENG Kai,FENG Yulong,et al.An energy storage capacity optimization method based on a flame propagation model[J].Power System Protection and Control,2020,48(16):54-61[点击复制] |
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| 摘要: |
| 基于配电网中大规模分布式储能部署的愿景，为了平衡储能投资与消纳新能源、保障负荷供电以及电价套利带来的的多重收益，有必要对储能容量优化配置进行研究。提出一种基于改进火焰传播模型的储能分区方法，通过构造节点的可燃度、火焰传播的风向、火焰传播的速度等指标，得到储能分区结果。然后，基于上述分区结果，以分区内储能年净收益最大为目标函数建立容量优化模型，并采用整数规划方法对模型进行求解。最后，以IEEE 33节点配电网系统为例，验证所提模型的有效性和可行性。算例结果表明：合理配置储能容量可以提高规划的经济性；所提模型可以提高光伏就地消纳能力和配电网供电可靠性。 |
| 关键词: 储能 配电网 容量优化 火焰传播模型 分区 经济性 |
| DOI：DOI: 10.19783/j.cnki.pspc.191160 |
| 投稿时间：2019-09-23修订日期：2020-01-02 |
| 基金项目:国家自然科学基金项目资助(51707099)；国网江苏省电力有限公司科技项目资助(J2019055)；江苏省研究生科研创新项目资助(KYCX19_0801) |
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| An energy storage capacity optimization method based on a flame propagation model |
| TANG Xiaobo,DENG Kai,FENG Yulong,LI Wen,,BAO Yuqing |
| (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210023, China) |
| Abstract: |
| Given the vision of large-scale deployment of a grid-connected distributed Energy Storage System (ESS) in the distribution network, it is necessary to study the capacity optimization of ESS for striking a balance among investment, Renewable Energy (RE) consumption, power supply security and price arbitrage. In this paper, an ESS partition model based on an improved flame propagation model is proposed. The results of ESS partition are obtained by constructing indices such as the flammability of nodes, the wind direction of flame propagation, and the speed of flame propagation. Then, an optimization method for ESS capacity in partition is established. This is to maximize the annual net profit and an integer programming method is used to solve the model. Finally, the effectiveness and feasibility of the method are verified by conducting case studies on the IEEE 33 bus distribution network system. The case study results show that the rational configuration of ESS capacity can improve the economy of planning, and the proposed method can improve Photovoltaic (PV) local consumption ability and power supply reliability of the distribution network.
This work is supported by National Natural Science Foundation of China (No. 51707099), Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd. (No. J2019055), and Undergraduate Scientific and Technological Innovation Project of Jiangsu Province (No. KYCX19_0801). |
| Key words: energy storage distribution network capacity optimization flame propagation model partition economic |
