极端灾害下基于智能楼宇分布式电源的配电系统负荷恢复力评估分析

方伟，曾博，徐富强，张建华

新能源电力系统国家重点实验室（华北电力大学）

Evaluation on the Capability of Load Restoration of Using Surviving Distributed Generation in Smart Buildings After Extreme Disasters

FANG Wei， ZENG Bo， XU Fuqiang， ZHANG Jianhua

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

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摘要: 作为一类重要的负荷侧资源，智能楼宇中广泛存在的各类分布式电源为极端灾害后电力系统的供电快速恢复及负荷转带提供了新的可能。为此，提出了一种针对智能楼宇负荷恢复力的综合评估框架，以用于定量分析和计算极端灾害后智能楼宇末端存活分布式电源对配电系统中重要负荷的转带能力。在对智能楼宇内不同类型物理设备进行建模的基础上，重点考虑多能互补及能量耦合特性，首先提出了电能转移量、热能转移量、冷能转移量3项定量评价指标，用于精确量化极端灾害后智能楼宇电源对系统负荷恢复的贡献。在此基础上，通过综合利用随机混合整数规划方法，进一步提出了针对上述评价指标的具体计算方法。最后，以某一工业园区负荷为例，对所提评估框架进行有效性验证。仿真结果表明，所提方法在保证智能楼宇正常运行前提下可充分发掘智能楼宇的能源供应潜力，有效提升配电系统在极端灾害下的供能可靠性。

关键词 ：智能楼宇, 分布式电源, 冗余度支撑, 电网弹性, 供能可靠性

Abstract：As an important type of load-side resources， the distributed generation (DG) is widely used in smart buildings to provide new possibilities for power supply rapidly recovery and load transfer after extreme disasters. To this end， this paper proposes a comprehensive evaluation framework for the smart building load resilience， which is used to quantitatively analyze and calculate the transfer capacity of the DG supply at the end of the smart buildings to the critical load in the distribution system after the extreme disaster. On the basis of modeling different types of physical equipment in smart buildings， the multi-energy complementary and energy coupling characteristics are considered. Firstly， three quantitative evaluation indexes includingelectric power transfer amount (PTA)， heat transfer amount (HTA) and cooling transfer amount (CTA) are proposed. The contribution of smart building power to system load recovery after extreme disasters is accurately quantified.On this basis， the specific calculation method for the above evaluation indicators is further proposed via using the random mixed integer programming method.Finally， taking the load of an industrial park as an example， the validity of the evaluation framework proposed in this paper is verified. The simulation results show that the proposed method can fully explore the energy supply potential of smart buildings with ensuring the normal operation of smart buildings， and effectively improve the reliability of power distribution systems under extreme disasters.

Key words： smart building distributed generation resilience energy supply reliability redundancy support

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	方伟
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方伟, 曾博, 徐富强, 张建华. 极端灾害下基于智能楼宇分布式电源的配电系统负荷恢复力评估分析[J]. 发电技术, .
FANG Wei, ZENG Bo, XU Fuqiang, ZHANG Jianhua . Evaluation on the Capability of Load Restoration of Using Surviving Distributed Generation in Smart Buildings After Extreme Disasters. Power Generation Technology, 0, (): 1-.

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http://www.pgtjournal.com/CN/ 或 http://www.pgtjournal.com/CN/Y0/V/I/1

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[2]	张国栋,刘凯. 能源互联网背景下的微电网能量管理分析[J]. 发电技术, 2019, 40(1): 17-21.
[3]	顾水福,张媛,陈西颖. 主动配电网规划方法研究[J]. 发电技术, 2018, 39(3): 220-225.

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