文章摘要
陈聪,沈欣炜,夏天,等.计及㶲效率的综合能源系统多目标优化调度方法[J].电力系统自动化,2019,43(12):60-67. DOI: 10.7500/AEPS20180731010.
CHEN Cong,SHEN Xinwei,XIA Tian, et al.Multi-objective Optimal Dispatch Method for Integrated Energy System Considering Exergy Efficiency[J].Automation of Electric Power Systems,2019,43(12):60-67. DOI: 10.7500/AEPS20180731010.
计及㶲效率的综合能源系统多目标优化调度方法
Multi-objective Optimal Dispatch Method for Integrated Energy System Considering Exergy Efficiency
DOI:10.7500/AEPS20180731010
关键词: 多目标优化调度  帕累托前端  㶲效率  综合能源系统  凸优化
KeyWords: multi-objective optimal dispatch  Pareto front  exergy efficiency  integrated energy system  convex optimization
上网日期:2019-04-26
基金项目:国家重点研发计划资助项目(2018YFB0905000);国家自然科学基金资助项目(51537006);中国博士后科学基金资助项目(2018T110097)
作者单位E-mail
陈聪 清华大学清华-伯克利深圳学院, 广东省深圳市 518055  
沈欣炜 清华大学清华-伯克利深圳学院, 广东省深圳市 518055  
夏天 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
 
郭庆来 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
 
孙宏斌 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室(清华大学), 北京市 100084 
shb@tsinghua.edu.cn 
陈艳波 新能源电力系统国家重点实验室(华北电力大学), 北京市 102206  
摘要:
      综合考虑综合能源系统(IES)在能效、经济、环境等多目标上的优化调度需求,提出一种IES的多目标优化调度模型及求解方法,以实现多能互补IES的节能减排、经济运行与环境友好调度运行。首先建立了满足IES在能效、经济、环境等方面的优化调度需求的多目标函数模型,并在能效目标函数中引入㶲效率,实现多能耦合系统的高效、高质量用能;其次建立了适用于多目标优化调度的IES数学模型,并通过模型凸松弛等方法保证模型的凸性,提高问题求解效率;再次建立了多目标优化调度问题帕累托前端的求解及运用方法,利用多目标凸优化问题的标量化方法进行模型转换,从而求解多目标凸优化问题,并提出筛选方法,用于从帕累托前端中筛选得到综合性能较好的调度方案;最后结合贵州省某IES算例仿真,验证了所建立多目标优化调度模型与求解方法在满足区域IES由于多能耦合而带来的多目标调度需求上的可行性。
Abstract:
      A multi-objective optimal dispatch method for an integrated energy system(IES), concerning energy efficiency, economy and environment is proposed, and its corresponding solution method is proposed, which can bring up an energy-saving, economic and environmental-friendly dispatching plan for the IES. Firstly, the model of multi-objective function for the IES, which takes exergy efficiency into consideration, is established to meet the demand of an economic, efficient and environmental-friendly IES. Secondly, a convex IES mathematical model for the multi-objective dispatch method is established with convex relaxation method to preserve the convexity. Thirdly, the solution method for the multi-objective optimization model is studied, the scalarization method is used to find the Pareto front(PF)of the convex model and a selection method is brought up to choose the multi-objective optimal dispatch plan from the PF. Numerical results based on a case from Guizhou Province in China validate the applicability of the proposed multi-objective dispatch method in efficiently bringing up a dispatch plan for the IES and making the IES operated with a better overall performance.
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