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1.四川大学电气工程学院,四川省成都市 610065
2.国网甘肃省电力公司,甘肃省兰州市 730030
Received:06 March 2022,
Revised:2022-07-02,
Published Online:28 July 2022,
Published:25 August 2022
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PANG Simian,ZHENG Zixuan,XIAO Xianyong,et al.Coordinated Optimal Dispatch and Control Method for Thermal Load Considering Multi-granularity Attributes of Power Consumption[J].Automation of Electric Power Systems,2022,46(16):103-112.
庞思勉,郑子萱,肖先勇等.计及多粒度用电属性的热力负荷协同优化调控方法[J].电力系统自动化,2022,46(16):103-112. DOI: 10.7500/AEPS20220306002.
PANG Simian,ZHENG Zixuan,XIAO Xianyong,et al.Coordinated Optimal Dispatch and Control Method for Thermal Load Considering Multi-granularity Attributes of Power Consumption[J].Automation of Electric Power Systems,2022,46(16):103-112. DOI: 10.7500/AEPS20220306002.
需求响应是激发热力负荷灵活性以及促进新能源消纳的重要途径之一。针对传统需求侧管理未考虑异构热力负荷功率粒度和时间粒度可能造成调控功率偏差的问题,提出一种考虑用户多粒度用电属性的热力负荷协同优化调控方法。首先,揭示不同功率粒度或时间粒度热力负荷的协同响应机理,建立计及多粒度用电属性的热力负荷模型;其次,根据各热力负荷的粒度属性差异评估调控优先级,以需求响应引导热力负荷主动参与负荷调控,达到多粒度热力负荷协同互补的目的;最后,以系统净交换功率惩罚成本、单位碳排放社会成本、购电成本、不同优先级用户的经济补贴成本以及用户满意度降低惩罚成本为优化目标,仿真分析多粒度热力负荷参与地区电网电力电量平衡调控,以实现地区电网的灵活性提升。
Demand response is one of the important ways to stimulate the flexibility of thermal load and promote the accommodation of renewable energy. Aiming at the problem that the power granularity and time granularity of heterogeneous thermal loads may not be considered in the traditional demand-side management
which may cause power deviations in the dispatch and control
a coordinated optimal dispatch and control method for the thermal load considering the multi-granularity attributes of power consumption is proposed. Firstly
the coordinated response mechanism of thermal loads with different power granularity or time granularity is revealed
and the thermal load model considering the multi-granularity attributes of power consumption is established. Secondly
the priorities of dispatch and control are evaluated according to the granularity attribute difference of each thermal load
and the demand response is used to guide the thermal load to actively participate in the load adjustment
so as to achieve the purpose of coordinated complementarity of multi-granularity thermal load. Finally
by taking the penalty cost of the net exchange power of the system
the social cost of carbon emission per unit
the cost of electricity purchase
the economic subsidy cost of users with different priorities
and the penalty cost of user satisfaction reduction as the optimization objectives
the participation of multi-granularity thermal load in the balanced dispatch and control of electricity of regional power grid is simulated and analyzed to improve the flexibility of the regional power grid.
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