A Two-layer Optimization Dispatch for Power Systems Incorporating Pricing Strategies for Aluminium Electrolysis Load Demand Response

YUAN Jiahai; ZHAO Yiying; MOU Qilin; ZHANG Jian; ZHANG Haonan

doi:10.19725/j.cnki.1007-2322.2024.0162

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A Two-layer Optimization Dispatch for Power Systems Incorporating Pricing Strategies for Aluminium Electrolysis Load Demand Response

更新时间：2026-10-19

- A Two-layer Optimization Dispatch for Power Systems Incorporating Pricing Strategies for Aluminium Electrolysis Load Demand Response
- Vol. 43, Issue 5, Pages: 931-941(2026)
- 作者机构：
  
  1. 华北电力大学经济与管理学院, 北京市昌平区,102206
  2. 华北电力大学(保定) 经济管理系,河北省,保定市,071003
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0162
  CLC： 5
- Published：2026
- 稿件说明：
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YUAN Jiahai, ZHAO Yiying, MOU Qilin, et al. A Two-layer Optimization Dispatch for Power Systems Incorporating Pricing Strategies for Aluminium Electrolysis Load Demand Response[J]. 2026, 43(5): 931-941.
DOI：

YUAN Jiahai, ZHAO Yiying, MOU Qilin, et al. A Two-layer Optimization Dispatch for Power Systems Incorporating Pricing Strategies for Aluminium Electrolysis Load Demand Response[J]. 2026, 43(5): 931-941. DOI： 10.19725/j.cnki.1007-2322.2024.0162.

摘要

随着我国可再生能源装机比例提高和用电负荷特性变化，源荷不对称性增大了新能源消纳难度。文中聚焦风资源丰富和电解铝企业集中的西北地区，从需求响应激励与源荷协同优化调度的视角研究电解铝企业对新能源消纳的促进作用，提出了一种计及电解铝负荷需求响应定价策略的电力系统双层滚动优化调度方法。首先，分析电解铝负荷及风电出力特性，并采用基于Weibull分布的场景生成方法预测风电出力；其次，建立计及区域响应功率聚合与分配的电网–电解铝双层规划模型，在保障源荷两侧运行安全的前提下权衡各主体效益、增大电力系统消纳能力；再次，提出一种基于上述模型的动态定价策略与协同调度框架，以实现需求响应动态定价和对电解铝负荷的柔性调控；最后，考虑风力发电和用电负荷的日内及季节性波动特性、季节性分时电价，通过改进的IEEE-30节点系统进行算例分析和多情景对比讨论，验证需求响应动态定价及协同调度策略的可行性。

Abstract

As the share of renewable energy installations grows in China and the characteristics of electricity demand evolve

the imbalance between generation and load has increased the the difficulty in renewable energy accommodation. Focusing on wind-rich northwest China region with concentrated electrolytic aluminum enterprises

we examines the promoting effect of aluminum smelters on renewable energy accommodation from the perspectives of demand response incentives and coordinated generation-load interaction optimization. A dual-layer rolling optimization dispatch method for power systems is proposed

incorporating pricing strategies that consider aluminum smelter load demand response. Firstly

the characteristics of aluminum smelter loads and wind power output are analyzed

utilizing a scenario generation method based on the Weibull distribution to forecast wind power output. Secondly

a grid-aluminum smelter dual-layer planning model is established

aiming to aggregate and allocate regional response power

balance benefits among stakeholders and enhance the power system's integration capacity while ensuring operational safety on both sides of generation and load. Thirdly

a dynamic pricing strategy and a coordinated scheduling framework based on the above model are proposed to achieve demand-response dynamic pricing and flexible control of aluminum smelter loads. Finally

taking into account the intraday and seasonal fluctuations of wind power generation and electricity load

along with seasonal time-of-use tariffs

case studies are conducted on an improved IEEE-30 bus system. The investigation of these studies assists in analyzing scenarios and comparing outcomes

thereby validating the feasibility of the proposed demand response dynamic pricing and coordinated scheduling strategies.

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references

CHEN Qixin, LÜ Ruike, GUO Hongye, et al . Electricity user behavior modeling for demand response: research status quo and applications[J ] . Electric Power Automation Equipment, 2023, 43(10): 23−37(in Chinese).

LI Bo, CHEN Minyou, ZHONG Haiwang, et al . A review of long-term planning of new power systems with large share of renewable energy[J ] . Proceedings of the CSEE, 2023, 43(02): 555−581(in Chinese).

ZHANG Dongdong, ZHU Hongyu, ZHANG Hongcai, et al . Multi-objective optimization for smart integrated energy system considering demand responses and dynamic prices[J ] . IEEE Transactions on Smart Grid, 2022, 13(2): 1100−1112.

YANG Lifan, ZHOU Kun, QI Zengqing, et al . A multi-time scale optimal scheduling strategy of virtual power plants based on demand response[J ] . Power System and Clean Energy, 2024, 40(03): 10−21(in Chinese).

GENG Jian, ZHOU Jing, LÜ Jianhu, et al . Analysis and discussion on transaction mechanism of load side adjustable resources in electricity market[J ] . Power System Technology, 2022, 46(07): 2439−2448(in Chinese).

NING Jian, WU Jiping, JIANG Changming, et al . Optimal control strategy of peak and frequen cy regulation for adjustable loads considering operation characteristics of resources[J ] . Automation of Electric Power Systems, 2022, 46(15): 11−19(in Chinese).

CHEN Zhi, WU Lei, FU Yong. Real-time price-based demand response management for residential appliances via stochastic optimization and robust optimization[J]. IEEE Transactions on Smart Grid, 2012, 3(4): 1822−1831.

FU Zhixin, LI Ziyan, ZHU Junpeng, et al . Overview and prospect of demand side management mechanism under "dual carbon" goal[J ] . Electric Power Information and Communication Technology, 2023, 21(02): 1−12(in Chinese).

JIAN Chuanqian, LIU Jichun, PU Tianjiao, et al . Wind-photovoltaic-storage capacity optimization method for multiple electricity sell entities considering demand response under co-construction and sharing mode[J ] . Electric Power Automation Equipment, 2021, 41(09): 206−214(in Chinese).

WANG Jian, LU Zongxiang, QIAO Ying, et al . Research on demand response mechanism of wind power local accommodation utilizing energy-intensive loads[J ] . Power System Technology, 2017, 41(07): 2115−2124(in Chinese).

LI Siwei, HUI Hengyu, BAO Minglei. Adjustability analysis of aluminum smelter loads and participation in power system scheduling[J]. Proceedings of the CSU-EPSA, 2021, 41(09): 206−214(in Chinese).

谢传治, 尹玉君. 电解铝负荷参与消纳电网弃风电力应用[J]. 自动化应用, 2021(01): 95−98.

CHEN Guangyu, YANG Xiyong, JIANG Haiyang, et al . Demand response regulation strategy for power grid accessed with high proportion of renewable energy considering industrial load characteristics[J ] . Electric Power Automation Equipment, 2023, 43(04): 177−184(in Chinese).

ZHANG Bin, SI Dajun, LI Fan, et al . Research on peak shaving of wind power grid connection considering demand side response of electrolytic aluminum load[J ] . Advanced Technology of Electrical Engineering and Energy, 2023, 42(07): 31−38(in Chinese).

LI Lingfang, PAN Tingzhe, CHEN Yixuan, et al . Stackelberg game strategy for demand response in electrolytic aluminum enterprise considering user response willingness[J ] . Renewable Sustainable Energy, 2024, 16(3): 035905.

YU Qingfang, XU Jian, LIAO Siyang, et al . Adaptive load control of electrolytic aluminum for power system frequency regulation based on the aluminum production operation state[J ] . Energy Reports, 2022, 8(Supplement 5): 1259−1269.

NIE Shihao, CHEN Lei, MIN Yong, et al . Potential and characteristic analysis on participation of industrial load in primary frequency regulation[J ] . Power System Technology, 2023, 47(10): 3994−4005(in Chinese).

BAO Yi, XU Jian, LIAO Siyang, et al . Field verification of frequency control by energy-intensive loads for isolated power systems with high penetration of wind power[J ] . IEEE Transactions on Power Systems, 2018, 33(6): 6098−6108.

YAO Chunxiao, LIU Wenying, GUO Hu, et al . Load-source optimal model of polymorphic controllable loads participating in wind power consumption[J ] . Renewable Energy Resources, 2019, 37(06): 872−878(in Chinese).

王玄. 风电机组功率特性曲线建模及风速–风向联合风能评估[D]. 兰州: 兰州理工大学, 2024.

JIANG Cheng, WANG Shuo, WANG Baoqing, et al . Probabilistic reliability assessment of power system containing wind power based on Latin hypercube sampling[J ] . Transactions of China Electrotechnical Society, 2016, 31(10): 193−206(in Chinese).

LONG Chuan, ZHANG Wentao, YE Shengyong, et al . Optimal planning for siting and sizing of distributed generator including electric vehicles considering correlations of source and load[J ] . Thermal Power Generation, 2020, 49(06): 97−104(in Chinese).

程乐园, 李文启, 张曦, 等. 基于负荷控制的高风光渗透率地区电网调峰方案[J]. 电气应用, 2019, 38(07): 84−92.

XU Yuqin, FANG Nan. Multi objective optimal scheduling of integrated electricity-gas system based on piecewise linearization and improved second order cone relaxation[J]. Transactions of China Electrotechnical Society, 2022, 37(11): 2800−2812(in Chinese).

郭紫姗. 考虑需求响应补贴定价的综合能源系统优化调度研究[D]. 南京: 南京师范大学, 2022.

程燕, 张庆歌. 双碳目标下新疆发展清洁能源对策分析[J]. 节能与环保, 2021(12): 36−38.

MEI Shufan, TAN Qinliang, DAI Mei. Energy storage capacity configuration considering seasonal fluctuation of wind and photovoltaic output[J]. Electric Power Engineering Technology, 2022, 41(04): 51−57(in Chinese).

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