PDF(8528 KB)
PDF(8528 KB)
PDF(8528 KB)
基于双层优化的微电网系统光储容量配置方法
Configuration Method of Photovoltaic Storage Capacity in Microgrid System Based on Bi-Layer Optimization
针对工业园区供电容量不满足用电负荷需求的情形,通过研究微电网系统用电策略,提出一种微电网双层优化模型。优化模型外层建立光伏-储能系统经济效益模型,以投资回收期、内部收益率作为经济效益的评价指标;内层以微电网、负荷、储能系统的运行状态等作为约束条件,同步考虑分布式光伏、储能系统与负荷间的配合,以供电可靠性作为评价指标,设置储能系统充放电运行策略。选取西北地区某工业园区作为应用场景,对优化模型求解,得到微电网系统最优容量配置。同时,对比分析改进优化方案和满足持续供电的储能容量配置方案,发现所提储能容量配置可实现最优经济效益,结合实际验证了该模型的有效性和可行性。
Through researching the power consumption strategy of microgrid, a bi-layer optimization model for microgrid is proposed in response to the situation that the power supply capacity of industrial parks cannot meet the demand for electricity loads. In the outer layer of the optimization model, an economic benefit model of photovoltaic-energy storage system is established, and the model uses payback period and internal rate of return as evaluation indicators of economic benefits. In the inner layer, the operating states of the microgrid, load, and energy storage system are taken as constraint conditions, and the cooperation between distributed photovoltaic, energy storage system and load is considered synchronously, and the model uses power supply reliability as an evaluation index to set up charging and discharging operation strategies of battery storage system. This paper selects an industrial park in the northwest region as the application scenario, and solves the optimization model to determine the optimal capacity configuration of the microgrid system. At the same time, by comparing and analyzing between the improved optimization scheme and the energy storage capacity configuration scheme that meets continuous power supply, it is found that the proposed energy storage capacity configuration can achieve optimal economic benefits, and its effectiveness and feasibility of the model are verified in practice.
微电网 / 储能容量配置 / 双层优化 / 光伏-储能系统经济效益模型 / 可靠性
microgrid / storage capacity allocation / bi-layer optimization / economic benefit model of photovoltaic-energy storage system / reliability
| [1] |
|
| [2] |
刘舒,李正力,王翼,等. 含分布式发电的微电网中储能装置容量优化配置[J]. 电力系统保护与控制,2016, 44(3): 78-84.
|
| [3] |
朱灿元,杨超,李舒涛,等. 考虑清洁能源与储能的分布式数据中心低碳调度策略[J]. 智慧电力,2023, 51(2): 16-23.
|
| [4] |
兰宇,龙妍,张哲豪,等. 可再生能源制氢跨省供应的技术经济可行性研究[J]. 发电技术,2023, 43(4): 473-483.
|
| [5] |
付晓敏. 含电/热储能清洁供暖系统容量配置与运行分析[J]. 分布式能源,2022, 7(3): 44-51.
|
| [6] |
王成山,于波,肖峻,等. 平滑可再生能源发电系统输出波动的储能系统容量优化方法[J]. 中国电机工程学报,2012, 32(16): 1-8.
|
| [7] |
孙玉树,杨敏,师长立,等. 储能的应用现状和发展趋势分析[J]. 高电压技术,2020, 46(1): 80-89.
|
| [8] |
李瑜,张占强,孟克其劳,等. 基于分层控制的孤岛微电网储能优化控制策略[J]. 储能科学与技术,2022, 11(1): 176-184.
|
| [9] |
李瑞生. 微电网关键技术实践及实验[J]. 电力系统保护与控制,2013, 41(2): 73-78.
|
| [10] |
|
| [11] |
杨博,王俊婷,俞磊,等. 基于孔雀优化算法的配电网储能系统双层多目标优化配置[J]. 上海交通大学学报,2022, 56(10): 1294-1307.
|
| [12] |
马速良,武亦文,李建林,等. 面向多服务目标需求的集中式电池储能优化配置方法研究[J]. 高压电器,2023, 59(7): 75-86.
|
| [13] |
|
| [14] |
|
| [15] |
徐林,阮新波,张步涵,等. 风光蓄互补发电系统容量的改进优化配置方法[J]. 中国电机工程学报,2012, 32(25): 88-98, 14.
|
| [16] |
朱兰,严正,杨秀,等. 风光储微网系统蓄电池容量优化配置方法研究[J]. 电网技术,2012, 36(12): 26-31.
|
| [17] |
刘振国,胡亚平,陈炯聪,等. 基于双层优化的微电网系统规划设计方法[J]. 电力系统保护与控制,2015, 43(8): 124-133.
|
| [18] |
张驰,周骏,赵镔,等. 零碳园区电-氢混合储能系统多目标优化配置[J]. 电力建设,2022, 43(8): 1-12.
|
| [19] |
丁明,方慧,毕锐,等. 基于集群划分的配电网分布式光伏与储能选址定容规划[J]. 中国电机工程学报,2019, 39(8): 2187-2201, 2.
|
| [20] |
侯美倩,牛启帆,邢洁,等. 计及可靠性的含源配电网储能系统的优化配置[J]. 储能科学与技术,2023, 12(2): 504-514.
|
| [21] |
李雄威,王昕,顾佳伟,等. 考虑火电深度调峰的风光火储系统日前优化调度[J]. 中国电力,2023, 56(1): 1-7, 48.
|
| [22] |
郑雪阳. 独立海岛微网分布式电源容量优化设计[C]//中国电工技术学会学术年会:新能源发电技术论坛论文集. 威海:强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院), 国网山东省电力公司电力科学研究院,2013: 76-84.
|
| [23] |
谭忠富,谢品杰,王绵斌,等. 提高电能使用效率的可中断电价与峰谷分时电价的联合优化设计[J]. 电工技术学报,2009, 24(5): 161-168.
|
/
| 〈 |
|
〉 |