基于虚拟电厂的多能源协同系统调度优化策略

doi:10.12204/j.issn.1000-7229.2022.12.015

摘要/Abstract

摘要：

目前,传统能源系统运行过程缺乏多样化能源供需优化手段及灵活调峰策略,且易产生污染。虚拟电厂精准化供给为能源体系结构转型提供了发展方向。文章提出基于虚拟电厂的多能源协同系统调度优化模型。首先,通过引入环境治理子系统与电-热-气综合能源系统协同运行,并配合电热储能装置、电转气(power to gas,P2G)设备及能源交易市场,赋予虚拟电厂更灵活的信息调控手段;其次,建立两种不同的系统运行方式加以对比;最后,利用MATLAB+CPLEX对所建数学模型进行仿真验证。结果表明,最佳容量配置下的虚拟电厂多能源协同调控系统相较于电-热-气能源系统运行模式,具备更好的经济性、环保性,且对提高可再生资源转化率,缓解弃风弃光现象及碳排放超标问题具有显著效果。

关键词: 环境治理子系统, 多能源协同系统, 电转气(P2G), 碳排放, 虚拟电厂

Abstract:

At present, the operation process of traditional energy system lacks diversified optimization methods for energy supply and demand, lacks flexible peak-regulation strategies, and is prone to pollution. However, the precise supply of virtual power plants provides a development direction for the transformation of energy architecture. This paper proposes a multi-energy collaborative system scheduling optimization model based on virtual power plant. Firstly, by introducing environmental governance subsystem cooperates with the electric-heat-gas integrated energy system to cooperate with electric-thermal energy storage devices, power to gas (P2G) equipment and energy trading markets, giving virtual power plants the more flexible information regulation means. Secondly, the paper established two different system operation modes to compare, and finally using MATLAB+CPLEX to simulate and verify the mathematical model. According to the results, compared with the operation mode of electricity-heat-gas energy system, the multi-energy collaborative control system of virtual power plant under optimal capacity configuration has better economy and environmental protection, and has a significant effect on improving the conversion rate of renewable resources, alleviating the phenomenon of abandoned wind and solar energy and excessive carbon emissions.

Key words: environment governance subsystem, multi-energy collaborative system, power to gas (P2G), carbon emission, virtual power plant

中图分类号:

TM734

郭佳兴, 王金梅, 张海同. 基于虚拟电厂的多能源协同系统调度优化策略[J]. 电力建设, 2022, 43(12): 141-151.

GUO Jiaxing, WANG Jinmei, ZHANG Haitong. Scheduling Optimization Strategy Based on Virtual Power Plant for Multi-energy Collaborative System[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(12): 141-151.

图/表 17

图1 VPP控制下的多能源协同系统运行框图

Fig.1 Operational framework of multi-energy collaborative system under VPP control

图2 环境治理子系统运行框图

Fig.2 Operational framework of environmental governance subsystem

图3 风电、光伏预测出力

Fig.3 Forecast powers of wind-solar generation

表1 分时电价

Table 1 Time-of-use electricity price

表2 系统相关参数

Table 2 Parameters related to the systems

表3 两种方案运行对比

Table 3 Comparison of the operation status of two scenarios

表4 Cost comparison of two scenarios 103元

Table 4

表5 两种方案环保性对比

Table 5 Comparison on environment protection of two scenarios

表6 EGS配置对比规划

Table 6 Comparison of EGS configuration planning

图4 EGS容量配置分析

Fig.4 Analysis of EGS capacity configuration

图5 EGS设备容量最佳配置日内出力

Fig.5 Intraday output for optimal capacity configuration of EGS equipment

图6 电力子系统各单元产/耗能功率

Fig.6 Energy production or consumption of each unit of the power subsystem

图7 热力子系统各单元产/耗能功率

Fig.7 Energy production or consumption of each unit of the thermal subsystem

图8 废气处理装置运行功率汇总

Fig.8 Summary of operating energy consumption of exhaust gas treatment devices

图9 碳收集处理站运行功率汇总

Fig.9 Summary of operating energy consumption of carbon collection and processing stations

图10 碳处理/存储/排放量汇总

Fig.10 Summary of carbon treatment, storage and emissions

图11 EGS产能设备等效/净出力

Fig.11 Equivalent/net output of EGS capacity equipment

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