基于虚拟储能模型的楼宇冷热电耦合系统经济调度策略
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(1. 国网苏州供电公司,江苏 苏州215000;2. 国网(苏州)城市能源研究院,江苏 苏州215000)

作者简介:

朱超群(1992),男,江苏苏州人,工程师,硕士研究生,研究方向为电能替代和综合能源相关技术。

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国家重点研发计划基金资助项目(2017YFA0700300)


Economic dispatching strategy for building CCHP coupling system based on virtual energy storage model
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(1. State Grid Suzhou Power Supply Company, Suzhou 215000, China;2. State Grid(Suzhou)City Energy Research Institute, Suzhou 215000, China)

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    摘要:

    建筑具有储热能力,可以将其等效为虚拟储能装置参与需求响应,从而减少系统运行成本,降低峰值负荷。基于此,建立了一种含虚拟储能的冷热电三联供-地源热泵耦合系统的优化模型,并从电负荷、热负荷角度分析其经济调度策略。首先,根据人体舒适温度范围和建筑性能建立虚拟储能的充放能模型;其次,建立冷热电三联供-地源热泵耦合系统的优化模型,以最小化系统日运行成本为优化目标,虚拟储能通过与热负荷的联系对目标函数产生影响,同时虚拟储能系统的充放能功率也受到相应的温度变化速率的约束;最后,以冬季场景为例,针对 2 类典型楼宇分别对电负荷和热负荷进行优化调度分析,并对仿真结果进行经济性分析。仿真算例证明,虚拟储能的引入可以在一定程度上降低系统的运行成本。

    Abstract:

    The heat storage capacity of the building can be regarded as a virtual energy storage device, which can participate in demand response to reduce the operating costs and peak load of the system. Accordingly, the optimization model of a combined cooling, heating and power (CCHP) -ground source heat pump(GSHP) coupling system with virtual energy storage (VES) is established and an economic dispatch strategy from the perspective of electrical load and thermal load is proposed. Firstly, a charging and discharging energy model of VES is established, based on the comfortable temperature range of human body and building performance. Secondly, an optimization model for the CCHP-GSHP coupling system is formed to minimize the daily operating costs of the system. The VES affects the operating costs through the connection with thermal load, whose power is restricted by the rate of temperature change. Finally, taking the winter scene as an example, the optimal dispatch analysis of two typical buildings is carried out with respect to electrical load and thermal load, and the simulation results are analyzed in terms of economic efficiency. The simulation results validate that the adoption of virtual energy storage can reduce the operating cost.

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引用本文

朱超群,陈辉,殷俊平,张晓明,周磊.基于虚拟储能模型的楼宇冷热电耦合系统经济调度策略[J].电力需求侧管理,2021,23(3):52-57

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  • 收稿日期:2020-12-15
  • 最后修改日期:2021-03-02
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  • 在线发布日期: 2021-05-24
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