离岸微型综合能源系统多目标随机规划

被引：25

作者：

张安安 ^{[1
,2
]}

张红 ^{[1
]}

吴建中 ^{[2
]}

Meysam QADRDAN ^{[2
]}

李茜 ^{[1
]}

机构：

[1] 西南石油大学电气信息学院

[2] 英国卡迪夫大学工程学院

来源：

电力系统自动化 | 2019年 / 43卷 / 07期

基金：

国家重点研发计划; 中国博士后科学基金;

关键词：

综合能源系统; 海洋工程; 能源集线器; 多能耦合; 多目标随机优化;

D O I：

暂无

中图分类号：

P75 [海洋工程];

学科分类号：

070403 [天体物理学];

摘要：

离岸微型综合能源系统与海洋工程的生产工艺环节结合紧密,并独立运行。因此,如何在克服生产工艺环节或外界环境不确定性影响的同时,尽可能减少CO2的排放,并尽量节省成本是其规划的难点。文中从综合能源系统优化规划的角度,根据能源集线器的思想,建立离岸微型综合能源系统的电-热-CO2耦合模型,构建以总成本最小、CO2排放量最少为目标,以电、热网络平衡等条件为约束,并考虑生产工艺环节和外界环境不确定性影响的多目标随机规划模型,进而利用多目标进化算法求解该模型,实现兼顾成本与环保的离岸微型综合能源系统多目标优化规划。通过海上油气平台群及全电舰船的微型综合能源系统的优化规划,验证了所提方法的可行性与有效性。

引用

页码：129 / 135+173 +173

页数：8

共 19 条

[1]

Integrating multi-source maritime information to estimate ship exhaust emissions under wind; wave and current conditions.[J].Liang Huang;Yuanqiao Wen;Xiaoqiao Geng;Chunhui Zhou;Changshi Xiao.Transportation Research Part D.2018,

[2]

Optimal integrated sizing and operation of a CHP system with Monte Carlo risk analysis for long-term uncertainty in energy demands.[J].Luca Urbanucci;Daniele Testi.Energy Conversion and Management.2018,

[3]

A review of waste heat recovery and Organic Rankine Cycles (ORC) in on-off highway vehicle Heavy Duty Diesel Engine applications.[J].Simone Lion;Constantine N. Michos;Ioannis Vlaskos;Cedric Rouaud;Rodolfo Taccani.Renewable and Sustainable Energy Reviews.2017,

[4]

Uncertainty analysis of an integrated energy system based on information theory.[J].Xueqian Fu;Hongbin Sun;Qinglai Guo;Zhaoguang Pan;Wen Xiong;Li Wang.Energy.2017,

[5]

Analysis of the reduction of energy cost by using MEA-MDEA-PZ solvent for post-combustion carbon dioxide capture (PCC).[J].Rui Zhang;Xiaowen Zhang;Qi Yang;Hai Yu;Zhiwu Liang;Xiao Luo.Applied Energy.2017,

[6]

Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units.[J].Guoqiang SUN;Shuang CHEN;Zhinong WEI;Sheng CHEN.Journal of Modern Power Systems and Clean Energy.2017, 3

[7]

Many-objective optimization for coordinated operation of integrated electricity and gas network.[J].Y. N. KOU;J. H. ZHENG;Zhigang LI;Q. H. WU.Journal of Modern Power Systems and Clean Energy.2017, 3

[8]

Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems.[J].Xiaoshun Zhang;Tao Yu;Bo Yang;Limin Zheng;Linni Huang.Energy Conversion and Management.2015,

[9]

Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty.[J].Linquan Bai;Fangxing Li;Hantao Cui;Tao Jiang;Hongbin Sun;Jinxiang Zhu.Applied Energy.2016,

[10]

Optimized design of collector topology for offshore wind farm based on ant colony optimization with multiple travelling salesman problem.[J].Ramu SRIKAKULAPU;Vinatha U;.Journal of Modern Power Systems and Clean Energy.2018, 06

← 1 2 →