含多类型资源虚拟电厂鲁棒竞标模型研究

doi:10.12204/j.issn.1000-7229.2020.09.003

摘要/Abstract

摘要：

虚拟电厂(virtual power plants, VPP)能有效聚合分散的多类型需求侧资源时,是需求侧资源参与电力市场的有效方式。但是VPP的市场行为无法直接采用传统的火电竞价模型进行描述,线路输电约束等出清过程中考虑的物理条件也会对虚拟电厂内部资源管理策略产生影响,基于此,文章以风电、储能、燃气轮机及需求响应负荷组成虚拟电厂为研究对象,考虑VPP内部风电出力不确定性以及聚合对象的调节能力,建立市场环境下 VPP 多类型资源鲁棒竞标模型。该模型采用库恩-塔克 (Karush-Kuhn-Tucker,KKT) 条件等值市场出清模型,并将其作为约束条件在VPP决策中进行考虑。算例表明该模型可以根据市场现状优化VPP内部多类型资源组合出力,提供经济可靠的竞标策略,有效提高VPP经济效益。

关键词: 需求侧资源, 竞标, 虚拟电厂, 电力市场, 利润

Abstract:

Virtual power plants (VPP) can effectively aggregate decentralized demand-side resources. It is an effective way for demand-side resources to participate in electricity market. However, the market behavior of VPP cannot be expressed by the traditional bidding model of the thermal power plant, meanwhile the transmission constraints will also impact the interior resource management strategy of the VPP. Under the aforementioned background, a robust bidding model of multi-type resources in virtual power plant in power market is proposed and it takes into account renewable energy output uncertainty and the adjusting ability of aggregated units. The virtual power plant studied in this paper consists of wind power, energy storage, gas turbine and demand response load. The model takes Karush-Kuhn-Tucker (KKT) equivalent condition of market liquidation model as constraints to represent the relationship between market liquidation process and VPP decision-making. The results show that the model can optimize internal resource combination of VPP according to the market situation, provide an economic and reliable bidding strategy, and effectively improve the economic benefits of VPP.

Key words: demand side resources, bidding, virtual power plant, power market, profit

中图分类号:

TM73

韩帅, 吴宛潞, 郭小璇, 孙乐平. 含多类型资源虚拟电厂鲁棒竞标模型研究[J]. 电力建设, 2020, 41(9): 20-29.

HAN Shuai, WU Wanlu, GUO Xiaoxuan, SUN Leping. Research on Robust Bidding Model of Virtual Power Plant with Multi-type Resources[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(9): 20-29.

图/表 15

图1 市场环境下虚拟电厂竞标问题结构

Fig.1 Structure of VPP's bidding problem in power market

表1 常规发电机数据

Table 1 Parameters of conventional generators

表2 燃气轮机参数

Table 2 Parameters of gas turbine

图2 6节点系统

Fig.2 6-node system

图3 风电及负荷的预测值

Fig.3 Forecast value of load and wind power

图4 各节点边际价格

Fig.4 Locational marginal prices

图5 机组出清结果

Fig.5 Clearing results of units

图6 有输电线制情况输送功率

Fig.6 Power of lines with transmission restriction

图7 无输电限制情况下输送功率

Fig.7 Power of lines without transmission restriction

表3 VPP出力结果对比

Table 3 Comparison of output results of VPPMW·h

表4 主要线路输送功率结果对比

Table 4 Comparison of main power flowsMW

图8 VPP组合出力结果

Fig.8 Combined output results in VPP

表5 VPP成本和收益分析

Table 5 Cost and benefit analysis of VPP $

表6 不同γ下的优化结果对比

Table 6 Results comparison under different γ $

图9 不同 γ 下的VPP成本和收益

Fig.9 Cost and benefit of VPP under different γ

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