[1]黄 仙,纪文童,叶笑容,等.基于机会约束的高速公路自洽能源系统规划方法[J].长安大学学报(自然科学版),2024,44(5):36-46.[doi:10.19721/j.cnki.1671-8879.2024.05.004]
　HUANG Xian,JI Wen-tong,YE Xiao-rong,et al.Planning of highway self-consistent energy system based on chance-constrained programming[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):36-46.[doi:10.19721/j.cnki.1671-8879.2024.05.004]
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基于机会约束的高速公路自洽能源系统规划方法()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年5期
页码:
36-46
栏目:
交通能源融合技术专题
出版日期:
2024-10-10

文章信息/Info

Title:
Planning of highway self-consistent energy system based on chance-constrained programming
文章编号:
1671-8879(2024)05-0036-11
作者:
黄 仙; 纪文童; 叶笑容; 冯璋洁
(华北电力大学 控制与计算机工程学院,北京 102206)
Author(s):
HUANG Xian;  JI Wen-tong;  YE Xiao-rong;  FENG Zhang-jie
(School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)
关键词:
交通工程;  高速公路自洽能源系统;  机会约束规划;  多微网;  容量优化配置
Keywords:
traffic engineering;  highway self-consistent energy system;  chance-constrained programming;  multi-microgrid;  configuration planning
分类号:
U417.9
DOI:
10.19721/j.cnki.1671-8879.2024.05.004
文献标志码:
A
摘要:
针对高速公路隧道、收费站、服务区等交通基础设施的供电问题,充分考虑风、光不确定性对系统供电可靠性的影响,基于风速、太阳辐射强度的历史数据分别拟合得到Weibull、Beta概率密度分布参数,并采用蒙特卡洛模拟技术和后向削减法生成风光场景集。提出综合考虑负荷分级切除、储能充放电以及多微电网间互联互济的运行控制策略,并在随后的优化配置模型中嵌入所提出的策略。以最小化全寿命周期总成本为优化目标,以装机容量约束、系统供需功率平衡、缺电时间概率等为约束条件,建立基于场景集的多微网自洽能源系统随机机会约束优化配置模型。采用多种群遗传算法求解优化配置模型,并通过算例仿真分析在2类典型情景下,随机期望值规划、机会约束规划以及机会约束置信度水平(60%、70%、80%、90%、100%)对风-光-储优化配置容量、成本以及供电可靠率的影响。研究结果表明:在2类典型子微网风光资源与负荷强度对应的应用情景下,采取机会约束规划比期望值规划对系统的供电可靠性要求更高,并可通过设置机会约束置信度β改变对系统的鲁棒性要求,更具灵活性和可行性; β越大,系统供电可靠率也越高,但总成本也相应增加,特别是当β>90%时,成本增长率显著变大,存在明显拐点。
Abstract:
To address the power supply issues of traffic infrastructure such as tunnels, toll stations, and service areas on highways, and in order to fully consider the impact of wind and solar uncertainty on the reliability of the power supply system, the Weibull and Beta probability density distribution parameters were fitted based on historical data of wind speed and solar radiation intensity. Monte Carlo simulation technique and backward reduction method were used to generate wind and solar scenario sets. An operation control strategy that integrates load shedding, energy storage charging and discharging, and operation control strategy for mutual support between multiple microgrids was proposed. These strategies were embedded in the subsequent optimization configuration model. Furthermore, an optimization configuration model based on scenario sets and stochastic chance constraints for the self-consistent energy system of multiple microgrids was established, with the minimization of the total life cycle cost as the optimization objective, and constraints including installed capacity, power balance between supply and demand, loss of load probability. A multi-population genetic algorithm was used to solve the optimization configuration model. Through case study simulations, the effects of random expected value planning, chance-constrained planning, and five confidence levels(60%, 70%, 80%, 90%, 100%)of chance constraints on the optimized configuration capacity, cost, and power supply reliability of wind-solar-storage were analyzed through case simulation. The results show that the application scenarios corresponding to the wind-solar resources and load intensity of the two typical sub-microgrids, chance-constrained planning required higher power supply reliability than expected value planning. The robustness requirement of the system could be changed by adjusting the confidence level β of chance constraints, which was more flexible and feasible. The higher the confidence level β was set, the higher the power supply reliability would be, but the total cost would also increase correspondingly, especially when β exceeded 90%, the cost growth rate significantly increased, showed a clear inflection point.4 tabs, 7 figs, 25 refs.

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备注/Memo

备注/Memo:
收稿日期:2024-06-01
基金项目:国家重点研发计划项目(2021YFB2601300)
作者简介:黄 仙(1966-),男,江西赣州人,教授,博士研究生导师,E-mail:hx@ncepu.edu.cn。
更新日期/Last Update: 2024-10-20