计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略

doi:10.12204/j.issn.1000-7229.2023.01.001

电力建设 ›› 2023, Vol. 44 ›› Issue (1): 1-11.doi: 10.12204/j.issn.1000-7229.2023.01.001

计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略

张尧翔¹(), 刘文颖¹, 庞清仑¹, 李亚楼², 安宁², 李芳²

1.新能源电力系统国家重点实验室(华北电力大学),北京市 102206
2.中国电力科学研究院有限公司,北京市100192

收稿日期:2022-08-12 出版日期:2023-01-01 发布日期:2022-12-26
通讯作者: 张尧翔 E-mail:zhangyx_94@163.com
作者简介:刘文颖(1955),女,学士,教授,主要研究方向为电力系统分析与控制及电力系统智能调度。
庞清仑(1999),男,硕士研究生,主要研究方向为综合能源系统优化运行。
李亚楼(1974),男,博士,教授级高级工程师,主要研究方向为电力系统数字仿真和新一代能源系统。
安宁(1978),男,博士,高级工程师,主要研究方向为电力系统仿真分析和新能源发电。
李芳(1979),女,博士,高级工程师,主要研究方向为电力系统并行计算、小干扰稳定分析、电力系统无功优化。
基金资助:
国家重点研发计划项目(2018YFE0208400)

Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources

ZHANG Yaoxiang¹(), LIU Wenying¹, PANG Qinglun¹, LI Yalou², AN Ning², LI Fang²

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
2. China Electric Power Research Institute, Beijing 100192, China

Received:2022-08-12 Online:2023-01-01 Published:2022-12-26
Contact: ZHANG Yaoxiang E-mail:zhangyx_94@163.com

摘要/Abstract

摘要：

随着新能源发电技术的高速发展,电网新能源消纳压力日益凸显。与此同时,随着多能转换技术发展,电网与其他类型能源网络的耦合程度不断提高,如何利用不同能源网络灵活性资源消纳受阻新能源,成为当前亟待研究的问题。为此,提出了计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略。首先,充分考虑综合能源系统(integrated energy system,IES)特性建立了冷、热、电负荷的多类型需求响应模型。其次,在日前时间尺度,考虑新能源消纳过程中各方利益均衡,建立了基于主从博弈理论的价格型综合需求响应(integrated demand response, IDR)日前优化调度模型;在日内时间尺度,针对新能源日前预测偏差对系统优化影响,建立了考虑激励型IDR日内滚动优化调度模型。最后,通过算例仿真证明了所提策略可深入挖掘多类型负荷需求响应能力,有效提高新能源消纳量。

关键词: 综合需求响应(IDR), 新能源消纳, 主从博弈, 多时间尺度, 综合能源系统(IES)

Abstract:

With the rapid development of new energy generation technology, the pressure of new energy consumption in the power grid is increasingly prominent. At the same time, with the development of multi-energy conversion technology, the degree of coupling between power grids and other types of energy networks is increasing. How to use the flexibility resources of different energy networks to dissipate the blocked new energy has become an urgent issue to be studied. This paper proposes a multi-timescale trading strategy that takes into account the multi-energy demand response to participate in the consumption of blocked new energy sources. First, a multi-type demand response model for cold, heat and electric loads is established with full consideration of the characteristics of integrated energy system (IES). Secondly, a price-based integrated demand response (IDR) day-ahead optimal scheduling model based on master-slave game theory is established in the day-ahead time scale, considering the equilibrium of interests of all parties in the process of new energy consumption. At the intra-day time scale, an incentive-based IDR intra-day rolling optimization scheduling model is developed to address the impact of the deviation from the new energy day-ahead forecast on system optimization.

Finally, the effectiveness of the strategy proposed in this paper is verified by case simulation. This work is supported by National Key R&D Program of China (No. 2018YFE0208400).

Key words: integrated demand response (IDR), new energy consumption, master-slave game, multi-timescale, integrated energy system (IES)

中图分类号:

TM73

张尧翔, 刘文颖, 庞清仑, 李亚楼, 安宁, 李芳. 计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略[J]. 电力建设, 2023, 44(1): 1-11.

ZHANG Yaoxiang, LIU Wenying, PANG Qinglun, LI Yalou, AN Ning, LI Fang. Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 1-11.

图/表 18

图1 IES结构图

Fig.1 IES Structure Diagram

图2 激励型IDR分段报价曲线

Fig.2 Segmented quotation curve of Incentive IDR

表1 不同时间尺度下IDR分类

Table 1 IDR classification at different time scales

图3 IES多时间尺度IDR调度思路

Fig.3 Multi-Time Scale IDR Scheduling Ideas for IES

图4 日前主从博弈框架

Fig.4 Framework of master-slave game

图A1 日前主从博弈模型求解方法

Fig.A1 Solving method of master-slave game model

图A2 各类型负荷及风光电预测数据

Fig.A2 Forecast data of various types of load and wind and photovoltaic power

表A1 电网分时电价表

Table A1 Time-of-use electricity price

表A2 IES各类典型设备运行参数

Table A2 Operating parameters of various typical equipment in IES

表A3 各级激励响应补贴

Table A3 Incentive response subsidies at all levels

表2 02:00—03:00各系统运营商与综合能源用户博弈决策结果

Table 2 Decision results of the game between each system operator and integrated energy users in 2:00-3:00

图5 不同方案下的系统电价

Fig.5 System electricity price under different schemes

图6 不同方案下的新能源受阻功率

Fig.6 New energy blocked power under different schemes

图7 冷热电负荷日前需求响应量

Fig.7 Day-ahead demand response of cooling,heating and power loads

表3 日前不同方案下优化结果

Table 3 Day-ahead optimization results under different schemes

图8 日内不同方案下新能源受阻功率

Fig.8 Blocked power of new energy under different schemes intra-day

图9 日内不同方案下负荷需求变化

Fig.9 Intra-day power load demand under different scenarios

表4 日内不同方案下优化结果

Table 4 Intra-day optimization results under different schemes

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计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略

Multi-Timescale Trading Strategies for the Participation of Multi-Energy Demand Response in the Consumption of Blocked New Energy Sources

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