| 引用本文: | 王越,谢海鹏,祝昊.电解铝工业园区的源荷协同优化配置方法[J].电力自动化设备,2024,44(7):132-140 |
| WANG Yue,XIE Haipeng,ZHU Hao.Source-load coordinated optimal planning method of electrolytic aluminum industrial park[J].Electric Power Automation Equipment,2024,44(7):132-140 |
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| 摘要: |
| 随着风电和光伏并网容量的不断增加，其固有的波动性与间歇性特征加剧了火电机组调峰的难度。电解铝负荷具有耗电量大、调节速度快等特点，可作为负荷侧灵活性资源参与系统规划。分析了电解铝负荷的生产原理与供电方式，推导了电解铝负荷的功率与产量的关系，进而建立了电解铝负荷的多阶段需求响应模型。针对电解铝工业园区，以新能源场站的建设成本与工业园区电力系统的运行成本最小为目标，计及电解铝负荷的调节时间、调节深度等特性，建立了考虑电解铝负荷需求响应的源荷协同优化配置模型，促进电解铝负荷与火电机组、可再生能源的协调互补。在求解时，使用变量替换、大M法对模型中的非线性约束进行线性化，将原问题转化为混合整数二次规划问题，从而实现利用商业求解器快速求解。采用实际算例进行仿真计算，结果表明所提方法可以同时兼顾系统经济性与新能源利用率，实现电力系统经济优质运行的目标。 |
| 关键词: 电解铝负荷 源荷协调 新能源消纳 优化配置 需求响应 |
| DOI：10.16081/j.epae.202405024 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(52307134)；国家电网公司总部科技项目(1400-202333325A-1-1-ZN) |
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| Source-load coordinated optimal planning method of electrolytic aluminum industrial park |
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WANG Yue, XIE Haipeng, ZHU Hao
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School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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| Abstract: |
| With the increasing grid-connected capacity of wind power and photovoltaic, its inherent volatility and intermittency characteristics exacerbate the difficulty of thermal power units’ regulation. Electrolytic aluminum load(EAL) has the characteristics of large power consumption and fast regulation speed, which can be used as load-side flexibility resource to participate in power system planning. The production principle and power supply mode of EAL are analyzed, the relationship between power and EAL output is deduced, and then a multi-stage demand response model of EAL is established. For the electrolytic aluminum industrial park, with the goal of minimizing the construction cost of renewable energy power plants and the opera-ting cost of the industrial park’s power system, taking into account the characteristics of EAL regulation time, regulation depth, etc.,a source-load coordinated optimal planning model considering the demand response of EAL is built to promote the coordination of EAL with thermal power units and renewable energy. To solve the problem, the nonlinear constraints in the model are linearized by using variable substitution and big M method, and the original problem is transformed into mixed-integer quadratic programming problem, thus achieving fast solution with a commercial solver. Simulation calculations are carried out by using practical cases, and the results show that the proposed method can simultaneously consider both the economy of system and the utilization of renewable energy utilization, and achieve the goal of economic excellent operation of the power system. |
| Key words: electrolytic aluminum load source-load coordination renewable energy consumption optimal planning demand response |
