考虑工业用户生产特性的精细化用电管控模型及实证研究
CSTR:
作者:
作者单位:

(1.浙江大学电气工程学院,浙江 杭州 310013;2.浙大城市学院信息与电气工程学院,浙江 杭州 310015;3.贵州电网有限责任公司电网规划研究中心,贵州 贵阳 550003)

通讯作者:

郭 超(1995—),男,博士,讲师,主要从事电力市场、电力系统韧性分析研究;E?mail:guoc@zucc.edu.cn

中图分类号:

TM76

基金项目:

贵州省科技计划项目(黔科合支撑[2021]一般409);贵州电网有限责任公司科技项目(GZKJXM20210386)


A refined power management and control model considering the production characteristics of industrial users and its empirical research
Author:
Affiliation:

(1.College of Electrical Engineering, Zhejiang University, Hangzhou 310013, China; 2.School of information and electrical engineering, Zhejiang University City College, Hangzhou 310015, China;3.Power Grid Planning & Research Center, Guizhou Power Grid Co., Ltd., Guiyang 550003, China)

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    摘要:

    “双碳”背景下,具有调节潜力的工业用户参与需求侧管理可以提升电力系统灵活调控能力,缓解电力保供压力,确保电网安全平稳运行。然而,传统针对工业企业的用电管理手段一般为0?1模式,严重影响企业生产连续性,无法保障社会效益最大化,无法成为支撑“双碳”目标的常态化需求侧管理机制。为此,提出一种考虑工业用户生产特性的精细化需求响应决策方法。首先,分析企业保供性、周期性、连续性、耦合性四大用电特性,构建基于工业用户生产特性的精细化用电管控框架。然后,以最大化所有工业用户的总用电量为目标,构建考虑最小保供电量、最小用电周期、最大负荷变化率、负荷耦合关联等内部工业负荷自身约束以及总用电量、负荷曲线等外部系统给定约束的精细化用电管控模型。其次,在此基础上,为保证模型求解的可靠性和提高模型求解的计算效率,针对性地提出线性化的解算方法。最后,基于中国东部某省工业园区的实际数据对所提模型进行验证。算例结果表明,所提方法可在满足用电总量、负荷曲线管控目标的前提下最大限度保障工业用户生产特性,提升企业效益。

    Abstract:

    Under the background of “double carbon”, the participation of industrial users with regulatory potential in demand?side management can improve the flexibility of the power system, relieve the pressure of power supply, and ensure the safe and stable operation of the power system. However, the traditional power management method of industrial users is generally 0?1 mode, which seriously affects the continuity of production, cannot guarantee the maximization of social benefits, and cannot become a normalized demand?side management mechanism to support the goal of ‘double carbon’. Therefore, this paper proposes a refined demand response decision?making method considering the production characteristics of industrial users. Firstly, the four major characteristics of enterprises power consumption, namely, guaranteed power supply, periodicity, continuity and coupling are analyzed. Then, with the goal of maximizing the power consumption of all users, the power consumption optimization model considering the internal constraints of industrial users, such as the minimum guaranteed power supply, the minimum power consumption cycle, the maximum load change rate and the load coupling correlation, as well as the external constraints such as the total power consumption and the load curve is constructed. On this basis, in order to ensure the reliability of model solving and improve the efficiency of model solving, a linearized solution method is proposed. Finally, based on the actual data of an industrial park in an eastern province of our country, the proposed model is verified. The results show that the proposed method can guarantee the production characteristics of industrial users and improve the benefits of enterprises under the premise of meeting the control objectives of total power consumption and load curve.

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孙诗洁,叶承晋,郭 超,等.考虑工业用户生产特性的精细化用电管控模型及实证研究[J].电力科学与技术学报,2023,38(6):45-54.
SUN Shijie, YE Chengjin, GUO Chao, et al. A refined power management and control model considering the production characteristics of industrial users and its empirical research[J]. Journal of Electric Power Science and Technology,2023,38(6):45-54.

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