计及用户满意度的蓄热式电采暖与风电互动运行优化策略
CSTR:
作者:
作者单位:

(1.国网宁夏电力有限公司经济技术研究院,宁夏 银川 750001;2.国网宁夏电力有限公司,宁夏 银川 750001)

通讯作者:

屈高强(1983—),男,高级工程师,主要从事新型配电网规划设计与分布式电源接入研究;E?mail:qgq300@163.com

中图分类号:

TM732

基金项目:

国网宁夏电力研究项目(SGNXJY00JCJS2100036);宁夏自然科学基金(2022AAC03614);2018年宁夏回族自治区青年拔尖人才计划


Optimization strategy for interactive operation of regenerative electric heating and wind power considering user satisfaction
Author:
Affiliation:

(1.Economic & Technological Research Institute, State Grid Ningxia Electric Power Co., Ltd.,Yinchuan 750001, China; 2.State Grid Ningxia Electric Power Co., Ltd.,Yinchuan 750001, China)

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    摘要:

    随着“双碳”战略目标的提出,要求进一步推进以风、光为主体的清洁能源大规模接入电网。为提升电网风电消纳能力,减少弃风现象,提出计及用户满意度的蓄热式电采暖与风电互动优化运行模型。首先,分析蓄热式电采暖设备参与风电消纳的运行机理;然后,在综合考虑风电消纳、经济性以及用户满意度等方面的优化需求后,建立蓄热式电采暖与风电联合运行的多目标优化模型,并采用一种基于灰色关联分析与改进混沌粒子群算法的电网优化运行模型求解方法;最后,基于某电网数据仿真,提出满足系统优化运行需求的方案。算例结果表明:模型可有效地增加风电消纳能力,减少设备运行成本,满足用户对温度的舒适体验,为未来的蓄热式电采暖以及风电的投资提供决策支持。

    Abstract:

    With the strategic goal of developing "double carbon", it is required to further promote the large?scale integration of wind and solar power as the main source of clean energy. In order to improve the wind power consumption capability and reduce the wind power curtailment, a interactive optimization operation model of regenerative electric heating and wind power considering user satisfaction is proposed. Firstly, the operation principle of regenerative electric heating equipment participating with wind power is analyzed; then, a multi?objective optimization model for the combined operation of regenerative electric heating and wind power is established considering wind power consumption, economical property and user satisfaction. A grey relational analysis based improved chaotic particle swarm optimization algorithm is adopted for solving the proposed model; finally, an operation scheme which satisfying all the operation requirements is proposed based on the simulation data of a real grid. The simulation results show that the model can effectively increase the wind power consumption capability, reduce the operating cost, satisfy the user's thermal comfortable level, and provide decision support for future development for the regenerative electric heating and wind power.

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屈高强,郭 飞,党东升,等.计及用户满意度的蓄热式电采暖与风电互动运行优化策略[J].电力科学与技术学报,2023,38(1):55-65.
QU Gaoqiang, GUO Fei, DANG Dongsheng, et al. Optimization strategy for interactive operation of regenerative electric heating and wind power considering user satisfaction[J]. Journal of Electric Power Science and Technology,2023,38(1):55-65.

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  • 在线发布日期: 2023-04-10
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