基于综合需求响应的微能源网日前优化调度方法

doi:10.12204/j.issn.1000-7229.2021.07.002

电力建设 ›› 2021, Vol. 42 ›› Issue (7): 11-19.doi: 10.12204/j.issn.1000-7229.2021.07.002

基于综合需求响应的微能源网日前优化调度方法

杨欢红¹, 史博文¹, 黄文焘², 丁宇涛³, 王洁⁴, 余威¹, 朱子叶¹

1.上海电力大学电气工程学院,上海市 200090
2.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
3.国网湖州供电公司,浙江省湖州市 313200
4.国网上海奉贤供电公司,上海市 201499

收稿日期:2020-11-27 出版日期:2021-07-01 发布日期:2021-07-09
通讯作者: 史博文
作者简介:杨欢红(1965),女,硕士,副教授,主要研究方向为智能电网、数据挖掘等;|黄文焘(1990),男,博士,副教授,主要研究方向为微网、电力系统继电保护;|丁宇涛(1993),男,硕士,助理工程师,主要研究方向为电力设备状态检测与评估;|王洁(1993),女,硕士,助理工程师,主要研究方向为变电运维;|余威(1996),男,硕士研究生,主要研究方向为直流微网稳定性控制;|朱子叶(1996),女,硕士研究生,主要研究方向为配电网线路故障分析。
基金资助:
国家自然科学基金青年基金资助项目(51807117);电力传输与功率变换控制教育部重点实验室开放课题资助(2020AA01)

Day-Ahead Optimized Operation of Micro Energy Grid Considering Integrated Demand Response

YANG Huanhong¹, SHI Bowen¹, HUANG Wentao², DING Yutao³, WANG Jie⁴, YU Wei¹, ZHU Ziye¹

1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
3. State Grid Huzhou Power Supply Company, Huzhou 313200, Zhejiang Province, China
4. State Grid Shanghai Fengxian Electric Power Supply Company, Shanghai 201499, China

Received:2020-11-27 Online:2021-07-01 Published:2021-07-09
Contact: SHI Bowen

摘要/Abstract

摘要：

微能源网是能源互联网(energy Internet,EI)终端供能发展方向,系统的经济优化运行亟需挖掘多能负荷的潜力,单一需求响应难以满足“源-网-荷”协调优化。针对微能源网中多种能源的耦合转换特性,首先,建立了含储能和综合需求响应(integrated demand response,IDR)的广义能量枢纽模型;引入微能源网能源运营商,建立了综合需求响应3种模式,即转移模型、转换模型和可削减模型。其次,提出了基于综合需求响应的微能源网日前优化调度方法,制定能源分时价格,协调优化3种需求响应模式,建立以利润最大化为目标的混合整数线性规划模型,并利用CPLEX软件求解。最后,结合算例,验证了所提综合需求响应模式与日前优化调度方法的有效性,最大化利用了微能源网多能负荷耦合互补能力,提高了系统运行的经济性。

关键词: 能源运营商, 综合需求响应(IDR), 能量枢纽, 微能源网

Abstract:

Micro energy grid is the development direction of the terminal energy supply of the energy Internet (EI). The economic optimization of the system urgently needs to tap the potential of multi-energy loads, and a single demand response cannot meet the coordinated optimization of “source-network-load”. In this paper, aiming at the coupling conversion characteristics of multiple energy sources in the micro energy grid, a generalized energy hub model including energy storage and integrated demand response (IDR) is established. Energy operators of micro energy grid are introduced and three comprehensive demand response models, namely, transfer model, transforming model and reduction model are established. A day-ahead optimization scheduling method for micro energy grid considering comprehensive demand response is proposed, in which time-of-use energy prices are formulated, three demand response modes are coordinated and optimized. A mixed integer linear programming model with the goal of profit maximization is established, and the solution is solved by CPLEX software. Combined with a calculation example, the effectiveness of the comprehensive demand response model and the day-ahead optimal dispatching method proposed in this paper is verified. Results show that the multi-energy load coupling and complementary capabilities of the micro energy grid are maximized, and the economic efficiency of system operation is improved.

Key words: energy operator, integrated demand response (IDR), energy hub, micro energy network

中图分类号:

TM73

杨欢红, 史博文, 黄文焘, 丁宇涛, 王洁, 余威, 朱子叶. 基于综合需求响应的微能源网日前优化调度方法[J]. 电力建设, 2021, 42(7): 11-19.

YANG Huanhong, SHI Bowen, HUANG Wentao, DING Yutao, WANG Jie, YU Wei, ZHU Ziye. Day-Ahead Optimized Operation of Micro Energy Grid Considering Integrated Demand Response[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(7): 11-19.

图/表 10

图1 微能源网能量枢纽模型

Fig.1 Energy hub model of micro energy grid

图2 能源运营商功能

Fig.2 Function of energy operator

图3 优化调度流程

Fig.3 Flow chart of optimized scheduling

图4 能源分时售价

Fig.4 Time-of-use energy price

表1 设备转换率

Table 1 Conversion rates of devices

表2 3种场景的成本对比

Table 2 Cost comparison among three scenarios

表3 3种场景的利润对比

Table 3 Profit comparison among three scenarios

图5 各模式响应参与度

Fig.5 Participation in response in each mode

图6 各模型优化前后负荷曲线

Fig.6 Load curves of each model before and after optimization

图7 多能优化前后负荷曲线

Fig.7 Load curve before and after multi-energy optimization

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基于综合需求响应的微能源网日前优化调度方法

Day-Ahead Optimized Operation of Micro Energy Grid Considering Integrated Demand Response

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