| 引用本文: | 郝然,艾芊,朱宇超,伍恒,梁中熙.基于能源集线器的区域综合能源系统分层优化调度[J].电力自动化设备,2017,37(6): |
| HAO Ran,AI Qian,ZHU Yuchao,WU Heng,LIANG Zhongxi.Hierarchical optimal dispatch based on energy hub for regional integrated energy system[J].Electric Power Automation Equipment,2017,37(6): |
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| 摘要: |
| 针对时变电价且运行方法灵活的中小型区域综合能源系统，提出一种基于能源集线器的分层优化模型。研究区域综合能源系统耦合关系和热电比可调机理，建立能源集线器扩展模型。计及包括用能替代的综合需求侧响应，以综合用能成本较低和用能能效较高为目标建立双层优化模型，采用Lagrange乘子法将下层目标KKT条件作为上层优化的可行性度量进行求解。对于具体ICES网络拓扑，考虑能量连接器的动态过程并计算混合潮流，选取电/热/气网运行状态评价指标，对多目标问题进行Pareto决策面搜索，应用模糊综合决策方法在机组分配方案中择优。算例验证了所提方法的有效性。 |
| 关键词: 综合能源系统 能源集线器 分层优化 动态能量连接器 混合潮流 优化 调度 |
| DOI：10.16081/j.issn.1006-6047.2017.06.023 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(51577115)；国家重点研发计划项目(2016YFB0901300) |
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| Hierarchical optimal dispatch based on energy hub for regional integrated energy system |
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HAO Ran1, AI Qian1, ZHU Yuchao2, WU Heng3, LIANG Zhongxi3
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1.School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;3.China Southern Power Grid Guangzhou Power Supply Bureau Co.,Ltd.,Guangzhou 510000, China
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| Abstract: |
| A hierarchical optimization model based on energy hub is proposed for small and medium-sized regional ICES (Integrated Community Energy System) with time-varying tariffs and flexible operating modes. The coupling relationship of regional integrated energy system and the adjustment mechanism of thermal-electric ratio are studied, and an extended model of energy hub is established. A bilevel optimization model with the lower comprehensive energy cost and the higher energy efficiency as its objectives is established, which considers the integrated demand-side responses, including energy substitution. With the KKT condition of lower-level target as the feasibility measurement of upper-level optimization, Lagrange multiplier method is applied to solve the model. For a specific ICES network topology, the dynamic process of energy connector is considered, the hybrid power flow is calculated, the evaluation indexes of operating states are selected for the electric, thermal and gas networks, the Pareto decision surface is searched for the multi-objective problem, and the fuzzy comprehensive decision method is adopted to determine the optimal one among the unit allocation schemes. Example is given to verify the effectiveness of the proposed method. |
| Key words: integrated energy system energy hub layered optimization dynamic energy connector hybrid power flow optimization dispatch |
