考虑储能特性的建筑三联供系统混合负荷跟随运行策略

doi:10.12204/j.issn.1000-7229.2022.05.006

电力建设 ›› 2022, Vol. 43 ›› Issue (5): 50-62.doi: 10.12204/j.issn.1000-7229.2022.05.006

考虑储能特性的建筑三联供系统混合负荷跟随运行策略

侯健敏¹^,²(), 徐志豪¹(), 余威杰¹(), 丁苏云¹()

1.南京信息工程大学自动化学院,南京市210044
2.江苏省大气环境与装备技术协同创新中心(南京信息工程大学),南京市210044

收稿日期:2021-10-25 出版日期:2022-05-01 发布日期:2022-04-29
通讯作者: 徐志豪 E-mail:jmhou@nuist.edu.cn;20201249210@nuist.edu.cn;20201249215@nuist.edu.cn;1183735602@qq.com
作者简介:侯健敏(1978),女,博士,副教授,主要研究方向为综合能源系统配置与调度优化,E-mail: jmhou@nuist.edu.cn。
余威杰(1998),男,硕士研究生,主要研究方向为微网调度优化,E-mail: 20201249215@nuist.edu.cn。
丁苏云(1997),男,硕士研究生,主要研究方向为综合能源系统配置优化,E-mail: 1183735602@qq.com。
基金资助:
国家自然科学基金青年项目(61903196);江苏省研究生实践创新项目(SJCX21_0348)

Hybrid Load-Following Operation Strategy for Building Triple-Feed System Considering Energy Storage Characteristics

HOU Jianmin¹^,²(), XU Zhihao¹(), YU Weijie¹(), DING Suyun¹()

1. College of Automation Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China

Received:2021-10-25 Online:2022-05-01 Published:2022-04-29
Contact: XU Zhihao E-mail:jmhou@nuist.edu.cn;20201249210@nuist.edu.cn;20201249215@nuist.edu.cn;1183735602@qq.com
Supported by:
Youth Project of National Natural Science Foundation of China(61903196);Jiangsu Postgraduate Practice and Innovation Project(SJCX21_0348)

摘要/Abstract

摘要：

传统建筑冷热电三联供系统忽略了储能特性,不考虑储能参与决策,系统无法调节储能压力,造成能源浪费,为此文章提出考虑储能特性的混合负荷跟随运行策略。同时,为减少模型计算量,精准选取负荷典型日,提出了结合标准间冲突性相关性(criteria importance though intercrieria correlation,CRITIC)加权的K-means聚类算法选取典型日。从经济、能源、环境三方面对系统进行优化。优化结果显示,采用CRITIC赋权的K-means聚类算法轮廓系数更高,具有更好的聚类效果;同时,提出的考虑储能特性的混合负荷跟随(following hybrid load-energy storage characteristics, FHL-ESC)运行策略综合指标达到29.66%,远高于电负荷跟随策略和热负荷跟随策略。与传统运行策略相比,所提出的运行策略综合表现最优,验证了所提运行策略的可行性和优越性。

关键词: 建筑冷热电三联供系统, 运行策略, 负荷典型日, CRITIC赋权, K-means聚类

Abstract:

As the cooling, heating and power system for traditional buildings ignores the energy storage characteristics and does not consider the participation of energy storage in decision-making, it cannot adjust the energy storage pressure, thus resulting in energy waste. Therefore, a hybrid load-following operation strategy considering energy storage characteristics is proposed in this paper. At the same time, in order to reduce the amount of model calculation and accurately select typical day of the load, a K-means clustering combined with CRITIC weighting is proposed. The system is optimized from three aspects: economy, energy and environment. The optimization results show that the K-means clustering algorithm with CRITIC weighting has higher contour coefficient and better clustering effect. At the same time, the comprehensive performance of the operation strategy proposed in this paper reaches 29.66%, which is much higher than the electric load following strategy and heat load following strategy. Compared with the traditional operation strategy, the proposed operation strategy has the best comprehensive performance, which verifies the feasibility and superiority of the proposed operation strategy.

Key words: building combined cooling, heating and power system, operation strategy, load typical day, CRITIC empowerment law, K-means clustering

中图分类号:

TM715

侯健敏, 徐志豪, 余威杰, 丁苏云. 考虑储能特性的建筑三联供系统混合负荷跟随运行策略[J]. 电力建设, 2022, 43(5): 50-62.

HOU Jianmin, XU Zhihao, YU Weijie, DING Suyun. Hybrid Load-Following Operation Strategy for Building Triple-Feed System Considering Energy Storage Characteristics[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(5): 50-62.

图/表 23

图1 BCCHP系统能量流图

Fig.1 Energy flow diagram of BCCHP system

图2 FHL-ESC运行策略示意图

Fig.2 Schematic diagram of HLF-ESC operation strategy

图3 储能容量变化与运行模式关系

Fig.3 Relationship between energy storage capacity change and operation mode

表1 重要性标度

Table 1 Importance scale

图4 BCCHP系统优化流程

Fig.4 Optimization framework of BCCHP system

图A1 全年冷热负荷

Fig.A1 Annual cooling and heating load

图A2 全年电负荷

Fig.A2 Annual electric load

表A1 内燃发电机工作效率

Table A1 Efficiency of internal combustion engine generator

表A2 设备安装、维护成本及最大功率和爬坡功率

Table A2 Cost of equipment installation and maintenance and maximum power and climbing power

表A3 电价、天然气价

Table A3 Electricity price and natural gas price

表A4 二氧化碳转换系数

Table A4 Carbon dioxide conversion coefficientg/(kW·h)

表A5 粒子群算法相关参数

Table A5 Relevant parameters of particle swarm optimization algorithm

图5 迭代收敛图

Fig.5 Iterative convergence graph

图6 轮廓系数分布

Fig.6 Contour coefficient distribution

表2 聚类评估指标

Table 2 cluster evaluation index

图7 典型日负荷情况及单位面积太阳辐照度

Fig.7 Typical daily load and solar irradiance per unit area

表3 Annual system cost under different operation strategies 万元

Table 3

图8 不同运行策略下年一次能源消耗

Fig.8 Annual primary energy consumption under different operation modes

图9 不同运行策略下CO2排放量

Fig.9 Carbon dioxide emission under different operation modes

表4 评估指标结果

Table 4 Evaluation index results %

图10 夏季典型日储能容量百分比变化及各时刻运行模式

Fig.10 Percentage change of typical daily energy storage capacity and operation mode at each time in summer

图11 冬季典型日储能容量百分比变化及各时刻运行模式

Fig.11 Percentage change of typical daily energy storage capacity and operation mode at each time in winter

图12 过渡季典型日储能容量百分比变化及各时刻运行模式

Fig.12 Percentage change of typical daily energy storage capacity and operation mode at each time in transition season

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考虑储能特性的建筑三联供系统混合负荷跟随运行策略

Hybrid Load-Following Operation Strategy for Building Triple-Feed System Considering Energy Storage Characteristics

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