中国电机工程学报2024,Vol.44Issue(8) :3078-3092,中插12.DOI:10.13334/j.0258-8013.pcsee.223327

考虑移动氢能存储的港口多能微网两阶段分布鲁棒优化调度

Two-stage Distributionally Robust Optimal Scheduling for Port Multi-energy Microgrid Considering Mobile Hydrogen Energy Storage

侯慧 甘铭 吴细秀 赵波 章雷其 王灼 谢长君
中国电机工程学报2024,Vol.44Issue(8) :3078-3092,中插12.DOI:10.13334/j.0258-8013.pcsee.223327

考虑移动氢能存储的港口多能微网两阶段分布鲁棒优化调度

Two-stage Distributionally Robust Optimal Scheduling for Port Multi-energy Microgrid Considering Mobile Hydrogen Energy Storage

侯慧 1甘铭 1吴细秀 1赵波 2章雷其 2王灼 1谢长君1
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作者信息

  • 1. 武汉理工大学自动化学院,湖北省 武汉市 430070
  • 2. 国网浙江省电力有限公司电力科学研究院,浙江省 杭州市 310014
  • 折叠

摘要

为有效应对海上风电固有的间歇及波动性给港口多能微网带来的不确定性风险,提出一种考虑移动氢能存储的港口多能微网两阶段分布鲁棒优化调度模型.首先,结合Wasserstein距离实现风电出力概率分布模糊集的精确刻画,并通过非参数核密度估计拟合海上风电预测误差概率分布,获得不同置信水平下风电出力区间及场景.其次,分析氢能船舶、汽车等移动氢能存储资源对间歇性风电出力的能源存储潜力,并结合用能心理、交通属性差异,将两者分别建模为激励型、价格型需求响应,实现港口移动氢能存储灵活性资源的高效聚合.再次,针对含移动氢能存储的港口多能微网,构建基于概率分布模糊集的日前-日内两阶段分布鲁棒优化调度模型,并运用线性决策规则与强对偶理论将其转换为混合整数线性规划模型求解.最后,基于海上风电实测数据进行仿真验证.结果证明,移动氢能存储可显著提升港口多能微网的低碳灵活性,所提模型在兼顾港口多能微网经济性的同时,可进一步保证风电不确定性风险下的鲁棒性.

Abstract

To effectively deal with the risk of uncertainty brought by the inherent intermittency and volatility of offshore wind power to the port multi-energy microgrid,a two-stage distributionally robust optimal scheduling model for port multi-energy microgrid considering mobile hydrogen energy storage is proposed.First,the precise description of the ambiguity set of wind power probability distribution is achieved by combining Wasserstein distance.Then,the probability distribution of offshore wind power forecast error is fitted by non-parametric kernel density estimation,and the wind power intervals and scenarios at different confidence levels are obtained.Next,the energy storage potentials of mobile hydrogen energy storage resources such as hydrogen ships and vehicles to intermittent wind power are analyzed.Combining the differences of energy utilization psychology and traffic attributes,the two models are respectively modeled as incentive and price demand response,which can achieve efficient aggregation of flexible resources for port mobile hydrogen energy storage.Furthermore,aiming at the port mulit-energy microgrid with mobile hydrogen energy storage,a day-ahead and intra-day two-stage distributionally robust optimal scheduling model based on the ambiguity set of probability distribution is constructed.The linear decision rules and strong duality theory are used to transform the model into a mixed integer linear programming model for solution.Finally,the simulation is verified based on the measured data of offshore wind power.The results show that the mobile hydrogen energy storage can significantly improve the low-carbon flexibility of port multi-energy microgrid.The proposed model ensures the economy of port multi-energy microgrid and further considers the robustness under the risk of wind power uncertainty.

关键词

移动氢能存储/港口多能微网/风电不确定性/Wasserstein距离/分布鲁棒优化

Key words

mobile hydrogen energy storage/port multi-energy microgrid/wind power uncertainty/Wasserstein distance/distributionally robust optimization

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基金项目

国家重点研发计划(2020YFB1506802)

国家自然科学基金(52177110)

深圳市科技计划(JCYJ20210324131409026)

出版年

2024
中国电机工程学报
中国电机工程学会

中国电机工程学报

CSTPCD北大核心
影响因子:2.712
ISSN:0258-8013
参考文献量30
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