考虑综合需求响应混合不确定性的综合能源系统优化调度策略

doi:10.12204/j.issn.1000-7229.2022.09.007

电力建设 ›› 2022, Vol. 43 ›› Issue (9): 66-76.doi: 10.12204/j.issn.1000-7229.2022.09.007

• 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

考虑综合需求响应混合不确定性的综合能源系统优化调度策略

杨志豪¹^,²(), 刘沆³^,⁴(), 文明³^,⁴(), 赵海彭²(), 廖菁³^,⁴(), 苗世洪¹^,²()

1.华中科技大学中欧清洁与可再生能源学院,武汉市 430074
2.华中科技大学电气与电子工程学院,武汉市 430074
3.国网湖南省电力有限公司经济技术研究院,长沙市 410004
4.能源互联网供需运营湖南省重点实验室,长沙市 410004

收稿日期:2022-02-27 出版日期:2022-09-01 发布日期:2022-08-31
通讯作者: 苗世洪 E-mail:Earth0626@outlook.com;790356101@qq.com;hnjyy1903_wen@126.com;zhaohaipeng@hust.edu.cn;Electric2000@yeah.net;shmiao@hust.edu.cn
作者简介:杨志豪(1997),男,硕士研究生,主要研究方向为综合能源系统优化规划与调度、综合需求响应建模等,E-mail: Earth0626@outlook.com;
刘沆(1988),男,博士,工程师,主要研究方向为能源电力市场、电价机制、电力交易等,E-mail: 790356101@qq.com;
文明(1981),男,博士,教授级高级工程师,主要研究方向为能源电力经济、能源互联网供需、电力市场、电价和新能源优化运行等,E-mail: hnjyy1903_wen@126.com;
赵海彭(1996),男,硕士研究生,主要研究方向为综合能源系统优化运行等,E-mail: zhaohaipeng@hust.edu.cn;
廖菁(1980),男,硕士,高级工程师,主要研究方向为电力系统规划等,E-mail: Electric2000@yeah.net。
基金资助:
国网湖南省电力有限公司科技项目(5216A221000P)

Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response

YANG Zhihao¹^,²(), LIU Hang³^,⁴(), WEN Ming³^,⁴(), ZHAO Haipeng²(), LIAO Jing³^,⁴(), MIAO Shihong¹^,²()

1. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China
2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
3. Economic Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China
4. Hunan Provincial Key Laboratory of Energy Internet Supply and Demand Operation, Changsha 410004, China

Received:2022-02-27 Online:2022-09-01 Published:2022-08-31
Contact: MIAO Shihong E-mail:Earth0626@outlook.com;790356101@qq.com;hnjyy1903_wen@126.com;zhaohaipeng@hust.edu.cn;Electric2000@yeah.net;shmiao@hust.edu.cn
Supported by:
Science and Technology Project of State Grid Hunan Electric Power Co., Ltd.(5216A221000P)

摘要/Abstract

摘要：

综合需求响应(integrated demand response,IDR)是挖掘综合能源系统(integrated energy system,IES)负荷侧调节潜力的主要手段。然而,IDR用户的用能行为具有随机性、模糊性相耦合的混合不确定性特征,由此产生的IDR不确定性不仅会给调度策略的制定带来挑战,而且会对系统的可靠性产生影响,甚至可能引起负荷断供。针对上述问题,首先提出了基于改进PMV-PPD(predicted mean vote-predicted percentage of dissatisfied)指标的用户参与意愿评估模型;其次,基于云模型理论,建立了考虑混合不确定性的价格型IDR模型;在此基础上,综合考虑各类能源响应量边界和价格弹性系数等因素的不确定性,提出了IES优化调度策略。算例结果表明所提的IES优化调度策略可以更好地应对IDR不确定性带来的负荷波动,有效提升系统可靠性。

关键词: 综合能源系统(IES), 综合需求响应(IDR), 优化调度, 混合不确定性, 可靠性, 云模型

Abstract:

Integrated demand response (IDR) is the main means to exploit the load-side regulation potential of the integrated energy system (IES). However, IDR users’ energy consumption behaviors are characterized by random-fuzzy mixed uncertainties, which will not only bring challenges to the formulation of scheduling strategy, but also affect the reliability of the system, and may even lead to load outage. To solve the above problem, firstly, a model based on the improved PMV-PPD index to evaluate user participation willingness is proposed. Secondly, according to the cloud model theory, a price IDR model considering mixed uncertainties is established. On the basis of these, the IES optimal scheduling strategy considering the uncertainties of various energy response boundaries and price elasticity coefficients is proposed. The results of examples show that the proposed IES optimal scheduling strategy can better deal with the load fluctuation caused by the uncertainties of IDR and improve system reliability effectively.

Key words: integrated energy system(IES), integrated demand response(IDR), optimal scheduling, mixed uncertainties, reliability, cloud model

中图分类号:

TM732

杨志豪, 刘沆, 文明, 赵海彭, 廖菁, 苗世洪. 考虑综合需求响应混合不确定性的综合能源系统优化调度策略[J]. 电力建设, 2022, 43(9): 66-76.

YANG Zhihao, LIU Hang, WEN Ming, ZHAO Haipeng, LIAO Jing, MIAO Shihong. Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(9): 66-76.

图/表 15

图1 IES基本运行框架

Fig.1 Basic framework of IES

图2 弹性系数不确定量分布云滴图

Fig.2 Cloud droplet diagram with the coefficient of elastic uncertainty

图3 IES优化调度策略实施流程

Fig.3 The implementation process of IES optimal scheduling strategy

表1 Comparison of average energy prices before and after scheduling in S1元/(kW·h)

Table 1

图4 S1场景调度前后负荷对比

Fig.4 The comparison of load curves before and after scheduling in S1

图5 PSO求解适应度曲线

Fig.5 The fitness curves of PSO

图6 S2、S3、S4场景负荷波动范围

Fig.6 Fluctuation range of the loads in S2, S3 and S4

图7 S3、S4策略中的负荷功率允许范围

Fig.7 Available range of loads in S3 and S4 strategies

表2 S3、S4场景调度策略可靠性对比

Table 2 Reliability comparison of scheduling strategies in S3 and S4

表 A1 能量转换系数矩阵中各α系数的含义

Table A1 Parameters of productive equipment in IES

表 A2 IES产能设备参数信息

Table A2 Parameters of productive equipment in IES

图 A1 能源价格与需求响应的关系

Fig.A1 The relationship between energy prices and demand response

图 A2 需求响应量变化范围

Fig.A2 Variation range of demand response

图 A3 半柔性负荷用户参与IDR意愿分布云滴图

Fig.A3 Cloud droplet diagram of user willingness to participate IDR

图 A4 多能负荷与风电最大出力预测曲线

Fig.A4 Forecasting curves of power, heating, cooling loads, and the maximum output of wind power

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考虑综合需求响应混合不确定性的综合能源系统优化调度策略

Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response

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