基于多时间尺度综合需求响应策略的综合能源系统优化运行

doi:10.12204/j.issn.1000-7229.2022.09.006

电力建设 ›› 2022, Vol. 43 ›› Issue (9): 54-65.doi: 10.12204/j.issn.1000-7229.2022.09.006

• 面向新型电力系统的灵活性资源发展关键技术及应用·栏目主持鞠立伟副教授、谭忠富教授· • 上一篇下一篇

基于多时间尺度综合需求响应策略的综合能源系统优化运行

刘至纯¹(), 李华强¹(), 王俊翔²(), 陆杨¹(), 游祥¹(), 何永祥³()

1.智能电网四川省重点实验室(四川大学), 成都市610065
2.国网山东省电力公司东营供电公司, 山东省东营市257091
3.国网四川省电力公司遂宁供电公司, 四川省遂宁市629000

收稿日期:2021-10-29 出版日期:2022-09-01 发布日期:2022-08-31
通讯作者: 李华强 E-mail:627669498@qq.com;lihuaqiang@scu.edu.cn;1214540541@qq.com;735018393@qq.com;youx1997@126.com;263694447@qq.com
作者简介:刘至纯(1997),女,硕士研究生,主要研究方向为综合能源系统优化运行,E-mail: 627669498@qq.com;
王俊翔(1995),男,硕士研究生,研究方向为微电网优化运行,E-mail: 1214540541@qq.com;
陆杨(1997),男,硕士研究生,研究方向为综合能源系统优化运行,E-mail: 735018393@qq.com;
游祥(1997),男,硕士研究生,研究方向为综合能源系统优化运行,E-mail: youx1997@126.com;
何永祥(1965),男,主要从事电力工程技术方面的研究工作,E-mail: 263694447@qq.com。
基金资助:
四川省科技计划资助项目(2021YFSY0019)

Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy

LIU Zhichun¹(), LI Huaqiang¹(), WANG Junxiang²(), LU Yang¹(), YOU Xiang¹(), HE Yongxiang³()

1. Key Laboratory of Intelligent Electric Power Grid of Sichuan Province (Sichuan University), Chengdu 610065, China
2. Dongying Power Supply Company, State Grid Shandong Electric Power Company, Dongying 257091, Shandong Province, China
3. Suining Power Supply Company, State Grid Sichuan Electric Power Company, Suining 629000, Sichuan Province, China

Received:2021-10-29 Online:2022-09-01 Published:2022-08-31
Contact: LI Huaqiang E-mail:627669498@qq.com;lihuaqiang@scu.edu.cn;1214540541@qq.com;735018393@qq.com;youx1997@126.com;263694447@qq.com
Supported by:
Sichuan Science and Technology Program(2021YFSY0019)

摘要/Abstract

摘要：

为充分挖掘各类型综合需求响应(integrated demand response,IDR)参与协调综合能源系统(integrated energy system,IES)优化运行能力,首先分析IDR多时间尺度特性,建立各类型IDR模型并制定了IDR多时间尺度响应策略;然后基于此策略建立以经济性最优为目标的IES多时间尺度优化运行模型:该模型分为日前-日内上层-日内下层三个阶段,在日前阶段制定经济性最优的日前调度计划,在日内阶段划分长、短两个时间尺度分别对冷/热、电/气相关设备出力进行分层管理;最后算例分析表明,所提模型能够有效降低运行成本,充分发挥不同响应能力的设备参与日内调度的潜力。

关键词: 综合能源系统, 综合需求响应, 多时间尺度, 优化运行

Abstract:

In order to fully explore the ability of various types of integrated demand response (IDR) to participate in the coordination of integrated energy system (IES) optimal operation, this paper firstly analyzes the multi-time scale characteristics of IDR, establishes various types of IDR models and formulates multi-time scale response strategy of IDR. Then, on the basis of the strategy, a multi-time scale optimization operation model of IES aimed at economic optimization is established. The model is divided into three stages: day-ahead, intra-day upper and intra-day lower stages. In the day-ahead stage, an economically optimal day-ahead scheduling plan is formulated. In the intra-day stage, the output of cooling/heat, electricity/gas related equipment is managed in different layers by dividing the long and short time scales. Finally, the analysis of a calculation example shows that the proposed model can effectively reduce the operating cost and give full play to the potential of equipment with different response capacities to participate in intra-day operation.

Key words: integrated energy system, integrated demand response, multi-time scale, optimal operation

中图分类号:

TM73

刘至纯, 李华强, 王俊翔, 陆杨, 游祥, 何永祥. 基于多时间尺度综合需求响应策略的综合能源系统优化运行[J]. 电力建设, 2022, 43(9): 54-65.

LIU Zhichun, LI Huaqiang, WANG Junxiang, LU Yang, YOU Xiang, HE Yongxiang. Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(9): 54-65.

图/表 19

表1 各类型IDR的响应特性

Table 1 Response characteristics of IDR

图1 IDR多时间尺度响应策略

Fig.1 Multi-time scale response strategy of IDR

图2 IES基本结构

Fig.2 Basic structure of an IES

图3 IES多时间尺度优化运行模型求解流程

Fig.3 Solution flow of multi-time scale optimization operation model of IES

图4 优化前后电/气价格曲线

Fig.4 Price curve of electricity/gas before and after optimization

图5 PBDR响应前后电/气负荷曲线

Fig.5 Load curve of electricity and gas after PBDR

图6 日前优化调度结果

Fig.6 Optimization results of day-ahead optimal scheduling

图7 上层IDR响应结果

Fig.7 Response results of IDR in the upper layer

图8 上层设备调整结果

Fig.8 Response results of facilities in the upper layer

图9 下层IDR响应结果

Fig.9 Response results of IDR in the lower layer

图10 下层设备调整结果

Fig.10 Response results of facilities in the lower layer

表2 各场景运行成本

Table 2 Operating costs of each scene

表3 不同时间尺度及运行方法下各设备调整次数

Table 3 Adjustment times of each device at different time scales and operation methods

图A1 风力发电机与负荷日前预测曲线

Fig.A1 Forecast curve of wind turbine and load

表A1 各设备基本参数

Table A1 Parameters of facilities

表A2 日前基准购售电价

Table A2 Basic price of electric in day-ahead stage

表A3 日前基准气价

Table A3 Basic price of gas in day-ahead stage

表A4 I类IBDR用户分时补偿电价

Table A4 Time-of-use compensation price of IBDR I

表A5 能源设备响应时间级

Table A5 The level of response time of facilities

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基于多时间尺度综合需求响应策略的综合能源系统优化运行

Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy

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