计及新能源机会约束与虚拟储能的电-热系统分布式多目标优化调度  

Distributed Multi-Objective Optimal Scheduling of Integrated Electric-Heat System Considering Chance Constraint of New Energy and Virtual Storage

作　　者：林雨眠 熊厚博 张笑演 林雨洁 郭创新[1] Lin Yumian;Xiong Houbo;Zhang Xiaoyan;Lin Yujie;Guo Chuangxin(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;State Grid Jiaxing Power Supply Company,Jiaxing 314003,China)

机构地区：[1]浙江大学电气工程学院,杭州310027 [2]国网嘉兴供电公司,嘉兴314003

出　　处：《电工技术学报》2024年第16期5042-5059,共18页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金联合基金重点支持资助项目(U22B2098)。

摘　　要：为提升综合能源系统消纳新能源的能力,探究不同优化目标之间的联系,该文将含虚拟储能的电-热系统调度问题分解为备用制定问题与计及机会约束的新能源消纳最优运行问题,构建了兼顾经济性、低碳性与综合能效提升的电-热综合能源系统多目标优化模型。通过引入多场景与场景指示变量近似机会约束,提出一种双线性Benders分布式计算框架以提升求解效率,将原问题分解为主问题和若干子问题迭代求解,采用法线边界交叉法得到Pareto前沿面。算例分析表明,所提算法相较于集中式算法的求解速度有明显提升,考虑新能源消纳机会约束的模型可在调度中通过调整置信度平衡运行的经济性与鲁棒性,同时虚拟储能可以根据新能源处出力情况调节热网充放功率,进一步提升新能源消纳能力,降低运行成本。最后,通过求解得到的Pareto前沿面分析了经济、低碳、能效不同优化目标之间的影响。In order to improve the integrated energy system's ability to absorb new energy and explore the relationship between different optimization objectives.In this paper,the scheduling problem of the integrated electric-heat system with virtual energy storage is decomposed into the standby formulation problem and the new energy consumption optimal operation problem considering the opportunity constraints,and a multi-objective optimization model of the integrated electric-heat system is constructed,which simultaneously takes into account the economy,low carbon and comprehensive energy efficiency improvement.A bilinear Benders distributed computing framework is proposed to improve the solving efficiency by introducing the approximate chance constraints of multiple scenarios and scenario indicator variables.The original problem is decomposed into the main problem and several sub-problems for iterative solving.The normal boundary crossing method is used to obtain Pareto frontier.Example analysis shows that compared with the centralized algorithm,the solution speed of the proposed algorithm is significantly improved.The model considering the constraints of new energy consumption opportunities can balance the economy and robustness of operation by adjusting the confidence degree during scheduling.Meanwhile,virtual energy storage can adjust the charging and discharging power of the heat supply network according to the output of the new energy department,further improving the absorbing capacity of new energy and reducing the operating cost.Finally,the influence of different optimization goals of economy,low carbon and energy efficiency is analyzed by solving the Pareto frontier.First,the integrated electric-heat system standby optimal scheduling model based on opportunity constraints is proposed.The model includes the start-stop and climb constraints of generator sets,CHP units and EB units,as well as the charge and discharge constraints of electric energy storage and capacity constraints.At the same time,the virtual energy s

关 键 词：综合能源系统 机会约束 虚拟储能 双线性 BENDERS分解法 多目标优化 

分 类 号：TM73[电气工程—电力系统及自动化]