|
|
Smart Grid 2021
考虑多时间尺度应用场景的用户侧储能优化配置研究
|
Abstract:
随着未来电力市场的开放以及售电公司的成立，售电公司可以通过给电网末端的电力用户直接配置储能系统，平滑用户用电曲线。也可以参与调频市场辅助服务以提高经济性。本文以多省份电力辅助服务(调频)市场交易规则为基础，提出一种同时考虑小时级的调节用户用电曲线场景和5分钟级的参与调频市场辅助服务场景的储能系统优化配置模型。以用户年实际支出费用为目标函数，综合考虑各种收益、建造成本和运行寿命等因素，利用Gurobi优化求解器进行求解。算例比较了不同运行寿命、建造成本、调频收益系数对配置结果和年收益的影响，为用户侧储能系统的优化配置提供建议，具有一定的工程价值。
With the opening of the electricity market in the future and the establishment of the electricity selling company, the electricity selling company can directly configure the energy storage system to the power users at the end of the grid to smooth the power consumption curve of users. It can also participate in FM market ancillary services to improve economy. In this paper, based on the trading rules of multi-province power auxiliary service (FM) market, an optimal configuration model of energy storage system is proposed, which takes into account both the hour-level scenario of adjusting users’ power consumption curve and the 5-minute level scenario of participating in FM market auxiliary service. Taking the actual cost per user year as the objective function and considering various factors such as revenue, construction cost and operating life, this paper uses an optimization solver in Nairobi to solve the problem. The calculation examples compare the effects of different operating life, construction cost and frequency modulation revenue coefficient on the configuration results and annual revenue, which provides suggestions for the optimal configuration of the user-side energy storage system and has certain engineering value.
| [1] | 王思. 2020中国储能政策盘点: 储能将正式迈入“十四五”发展新阶段[J]. 新能源科技, 2021(2): 2-5. |
| [2] | Zhang, Y., Xu, Y., Yang, H., Dong, Z.Y. and Zhang, R. (2020) Optimal Whole-Life-Cycle Planning of Battery Energy Storage for Multi-Functional Services in Power Systems. IEEE Transactions on Sustainable Energy, 11, 2077-2086.
https://doi.org/10.1109/TSTE.2019.2942066 |
| [3] | 丁逸行, 徐青山, 吕亚娟, 李淋. 考虑需量管理的用户侧储能优化配置[J]. 电网技术, 2019, 43(4): 1179-1186. |
| [4] | 郭久亿, 刘洋, 郭焱林, 许立雄. 不同典型用户侧储能配置评估与运行优化模型[J]. 电网技术, 2020, 44(11): 4245-4254. |
| [5] | 薛金花, 叶季蕾, 陶琼, 王德顺, 桑丙玉, 杨波. 采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J]. 电网技术, 2016, 40(8): 2471-2476. |
| [6] | Shi, Y., Xu, B., Wang, D. and Zhang, B. (2018) Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. IEEE Transactions on Power Systems, 33, 2882-2894.
https://doi.org/10.1109/TPWRS.2017.2749512 |
| [7] | Zhu, H., Xue, J., Li, Y., Tao, Y., He, D. and Shen, Y. (2019) Policy Analysis and Operational Benefit Evaluation of China’s Hundred Megawatt-Scale Electrochemical Energy Storage Stations in Power Auxiliary Service Market. 2019 IEEE Sustainable Power and Energy Conference (iSPEC), Beijing, 21-23 November 2019, 2812-2816.
https://doi.org/10.1109/iSPEC48194.2019.8975008 |
| [8] | 李嘉媚, 艾芊, 殷爽睿. 虚拟电厂参与调峰调频服务的市场机制与国外经验借鉴[J/OL]. 中国电机工程学报, 1-21. https://doi.org/10.13334/j.0258-8013.pcsee.202152, 2021-03-15. |
| [9] | 麻秀范, 陈静, 余思雨, 李思远, 卢文冰. 计及容量市场的用户侧储能优化配置研究[J]. 电工技术学报, 2020, 35(19): 4028-4037. |
| [10] | 唐琦雯, 肖艳炜, 项中明. 调频市场定价及出清机理的研究及启示[C]//中国电机工程学会电力市场专业委员会2019年学术年会暨全国电力交易机构联盟论坛论文集. 2019: 11. |
| [11] | Peng, P., et al. (2021) Optimized Economic Operation Strategy for Distributed Energy Storage with Multi-Profit Mode. IEEE Access, 9, 8299-8311. https://doi.org/10.1109/ACCESS.2020.3047230 |
| [12] | Li, F., Li, X., Zhang, B., Li, Z. and Lu, M. (2021) Multiobjective Optimization Configuration of a Prosumer’s Energy Storage System Based on an Improved Fast Nondominated Sorting Genetic Algorithm. IEEE Access, 9, 27015-27025.
https://doi.org/10.1109/ACCESS.2021.3057998 |
| [13] | 鞠立伟, 于超, 谭忠富. 计及需求响应的风电储能两阶段调度优化模型及求解算法[J]. 电网技术, 2015, 39(5): 1287-1293. |
| [14] | Xu, B., Shi, Y., Kirschen, D.S. and Zhang, B. (2018) Optimal Battery Participation in Frequency Regulation Markets. IEEE Transactions on Power Systems, 33, 6715-6725. https://doi.org/10.1109/TPWRS.2018.2846774 |
| [15] | 温可瑞, 李卫东, 韩松, 晋萃萃, 赵云丽. 考虑日历寿命的电池储能系统参与一次调频服务配置容量与控制参数协同优化[J]. 高电压技术, 2019, 45(7): 2185-2193. |
| [16] | Zhang, Y.J.A., Zhao, C., Tang, W. and Low, S.H. (2018) Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control. IEEE Transactions on Smart Grid, 9, 712-723.
https://doi.org/10.1109/TSG.2016.2562672 |
