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计及可调资源动态特性的虚拟电厂多级优化配置
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华北电力大学电气与电子工程学院,北京市 102206

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基金项目:

国家重点研发计划资助项目(2017YFB0902600)。


Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources
Author:
Affiliation:

School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Fund Project:

This work is supported by National Key R&D Program of China (No. 2017YFB0902600).

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    摘要:

    对虚拟电厂(VPP)中各类资源进行优化配置是其参与电网优化调度的重要前提。针对不同特性资源动态聚合与量化评估的难点,文中提出了“灵活性可调资源-聚合调节特性-优化目标建模”的VPP多级优化配置体系。首先,在灵活性可调资源层面建立了不同分布式电源、可控负荷以及储能的可调灵活性与随机性模型。其次,在聚合调节特性层面,一方面对各类资源灵活性整合得到VPP对外可调灵活性,另一方面对各类资源灵活调节的概率密度函数通过卷积运算求得VPP的随机性模型。接着,在优化目标建模中基于投资组合理论建立包含VPP建设和运维成本、参与电能市场和辅助服务市场获利在内的净现值模型,在静态优化配置基础上,分析关键要素的动态效应。以中国某地区实际电网为例,验证了所提方法的正确性和有效性。

    Abstract:

    The configuration optimization of virtual power plant (VPP) is an important prerequisite for its participation in the optimal dispatching of power grid. Aiming at the difficulty of dynamic aggregation and quantitative evaluation of resources with different characteristics, this paper proposes a multi-level optimal configuration system including flexible adjustable resources, aggregation adjustment characteristics and optimization target modeling. At the level of flexible adjustable resources, the flexible regulation characteristics of different distributed power sources, controllable loads and energy storage are studied. At the level of aggregation adjustment characteristics, the flexibility of various resources is integrated to obtain the external adjustable flexibility of VPP. On the other hand, the randomness model of VPP is obtained by convolving the probability density function of the randomness of various resources. In the optimization target modeling, based on the portfolio theory, this paper establishes a net present value model including construction, operation and maintenance costs of VPP, and the profits of VPP participating in the electric energy and auxiliary service markets . Based on the static optimization configuration, the dynamic effects of key elements are analyzed. By taking an actual power grid in a certain region of China as an example, the correctness and effectiveness of the proposed method are verified.

    表 2 Table 2
    图1 典型日负荷曲线Fig.1 Load curve of a typical day
    图2 VPP成本效益与CVaR的有效前沿Fig.2 Efficient frontiers of cost-benefit and CVaR
    图3 VPP可调灵活性与随机性动态关系Fig.3 Dynamic relationship between adjustable flexibility and randomness of VPP
    图4 VPP可调灵活性与CVaR动态关系Fig.4 Dynamic relationship between VPP adjustable flexibility and CVaR
    图5 VPP各灵活资源出力计划Fig.5 Output dispatching of each flexible resource in VPP
    图 不同时间尺度灵活性发电资源调节示意图Fig. Diagram of the adjust ability of flexible generation under multi-timescale
    图 半控型发电资源调节示意图Fig. Adjustment diagram of the semi-controlled generation resource
    图 需求侧灵活性资源调节示意图Fig. Diagram of the flexible adjust ability of demand side
    图 储能灵活性调节示意图Fig. Flexible adjust diagram of energy storage
    表 3 Table 3
    表 1 3种情形下VPP优化配置结果Table 1 Optimization configuration results of VPP in three cases
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引用本文

李翔宇,赵冬梅.计及可调资源动态特性的虚拟电厂多级优化配置[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190909011.
LI Xiangyu,ZHAO Dongmei.Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190909011.

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  • 收稿日期:2019-09-09
  • 最后修改日期:2020-04-06
  • 录用日期:2020-02-14
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