考虑多能互补灵活性和用户低碳意愿的区域综合能源系统鲁棒优化调度  

Robust Optimal Scheduling of Regional Integrated Energy System Considering Multi-energy Flexibility Complementary and Users’Low-carbon Willingness

作　　者：熊展 王素 王玲玲[1] 蒋传文[1] 周士超 郭明星 兰莉 吴恩琦 XIONG Zhan;WANG Su;WANG Lingling;JIANG Chuanwen;ZHOU Shichao;GUO Mingxing;LAN Li;WU Enqi(Key Laboratory of Control of Power Transmission and Conversion(Shanghai Jiao Tong University),Ministry of Education,Minhang District,Shanghai 200240,China;Economic Research Institute of State Grid Shanghai Electric Power Company,Xuhui District,Shanghai 200233,China)

机构地区：[1]电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市闵行区200240 [2]国网上海市电力公司经济技术研究院,上海市徐汇区200233

出　　处：《电网技术》2024年第7期2691-2701,I0001,I0002,I0003,共14页Power System Technology

基　　金：国家电网有限公司科技项目(合同号:5400-202317213A-1-1-ZN)。

摘　　要：为了解决区域综合能源系统(regional integrated energy system,RIES)中由于新能源出力不确定性和多能负荷波动所导致的灵活性不足问题,该文提出了一种考虑多能互补灵活性和用户低碳意愿的鲁棒优化方法。首先,计及新能源出力与负荷的共同影响,通过净负荷波动来刻画RIES电力子系统灵活性需求。为了计及用户低碳意愿对新能源消纳的影响,分别构建用户购买普通和零碳电能的效用函数。考虑多能耦合设备的灵活备用容量,建立包含多能灵活性供需平衡约束的目标为RIES总运行成本最小及用户总效用最大的三层鲁棒优化调度模型。引入设备最优运行区间对模型内时间耦合约束进行解耦,并采用KKT(Karush-Kuhn-Tucker)条件和嵌套列与约束生成(nested column and constraints generation,NC&CG)算法进行求解。算例分析表明,所提模型可提升RIES运行的灵活性,促进新能源消纳,实现了RIES的低碳经济运行。To address the problem of insufficient flexibility caused by the uncertainty of renewable energy and the fluctuation of multi-energy loads in regional integrated energy systems(RIES),this paper proposes a robust optimization method considering the flexibility of muti-energy complementarity and low-carbon willingness of users.Firstly,the flexibility demand of the power subsystem in RIES is characterized by net load fluctuations,which are influenced by both renewable energy output and load.To consider the impact of users’low-carbon willingness on renewable energy consumption,utility functions for purchasing normal and zero-carbon electricity are conducted,respectively.Considering the flexible reserve of multi-energy coupling devices,a three-layer robust optimal scheduling model with multi-energy flexible supply-demand balance constraints is established,aiming to minimize the total operating cost and maximize users’utility.The optimal operation range of devices is introduced to decouple time-coupling constraints,and Karush-Kuhn-Tucker(KKT)conditions and nested column and constraints generation(NC&CG)algorithm are to solve this model.The case study demonstrates that the proposed model can improve operating flexibility,promote the integration of renewable energy,and achieve low-carbon economic operation in RIES.

关 键 词：区域综合能源系统 运行灵活性 优化调度 用户低碳意愿 鲁棒优化 

分 类 号：TM721[电气工程—电力系统及自动化]