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Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

2023-07-24

【论文推荐】中国电科院刘思扬等：基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制研究

摘要

电价型需求响应策略可改变用户的用电行为，降低负荷峰谷差，实现资源的优化配置。研究提出了基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制。首先，基于含约束因子的移动边界方法，以邓恩指数（Dunn Validity Index）作为优化目标，建立峰谷时段划分优化模型。其次，建立可削减型柔性负荷的直接负荷控制模型，并通过分时电价策略（TOU）修正负荷曲线。第三，针对可转移型柔性负荷，提出基于TOU策略的电价型引导性策略，并采用粒子群优化算法对该问题进行求解。最后，通过对典型日负荷曲线的多场景案例分析，验证了所提方法和模型的有效性和正确性。

Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制研究

Siyang Liu¹, Yuan Gao², Hejun Yang², Xinghua Xie², Yinghao Ma²

1.State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, P.R.China

2.Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, P.R.China

Optimal guidance strategy flexible load based on hybrid direct load control and time of use

Abstract

The time-of-use (TOU) strategy can effectively improve the energy consumption mode of customers, reduce the peak-valley difference of load curve, and optimize the allocation of energy resources. This study presents an Optimal guidance mechanism of the flexible load based on strategies of direct load control and time-of-use. First, this study proposes a period partitioning model, which is based on a moving boundary technique with constraint factors, and the Dunn Validity Index (DVI) is used as the objective to solve the period partitioning. Second, a control strategy for the curtailable flexible load is investigated, and a TOU strategy is utilized for further modifying load curve. Third, a price demand response strategy for adjusting transferable load is proposed in this paper. Finally, through the case study analysis of typical daily flexible load curve, the efficiency and correctness of the proposed method and model are validated and proved.

Keywords

Flexible load; Optimal demand response strategy; Time of use; Period partitioning; Direct load control

Fig. 1 Flow chart of PFV period partitioning

Fig. 2 Flow chart of TOU optimization based on PSO algorithm.

Fig. 3 The typical daily customer load curves of a place in summer and winter

Fig. 4 Peak load, valley load and PVD of the original load curves in summer and winter

Fig. 5 Outdoor temperatures and setting temperatures of air conditioner in summer and winter

Fig. 6 Comparison of the curtailable load before and after control

Fig. 7 Comparison before and after control for peak load, PVD, and valley load of curtailable load

Fig. 8 Comparison of the period partitioning results of the typical FLC in summer

Fig. 9 The period partitioning result of the typical FLC in winter

Fig 10 The TRLCs before and after TOU

Fig. 11 Comparison of peak load, PVD, and valley load of transferable load before and after TOU

Fig. 12 Total FLC and load curve after TOU and load contro

Fig. 13 Load transfer amount under different proportions of transferable flexible load

Fig. 14 Comparison of peak load, PVD, and valley load of load curve in summer with different proportions of TRLC

本文引文信息

Liu SY, Gao Y, Yang HJ, Xie XH, Ma YH (2023) Optimal guidance strategy for flexible load based on hybrid direct load control and time of use, Global Energy Interconnection, 6(3): 297-307

刘思扬高原杨贺钧谢兴华马英浩 (2023) 基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制研究. 全球能源互联网（英文）, 6(3): 297-307

Biographies

Siyang Liu

Siyang Liu received the B.S.and M.S degrees from Xi’an Jiaotong University (Xi’an,China) and CentraleSupélec (Paris, France)in 2015 and 2018.She is working in State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute (CEPRI).Her research interests include renewable energy planning & dispatching and electricity market operation.

Yuan Gao

Yuan Gao received the B.S.and M.S degrees in electrical engineering from Hefei University of Technology in 2019 and 2022, Hefei, China.His research interests include power system planning and reliability and demand response.

Hejun Yang

Hejun Yang received the Ph.D.degree in electrical engineering from Chongqing University, Chongqing, China, in 2014.He is currently an associate professor in school of electrical engineering and automation, Hefei University of Technology, Hefei, China.His main research interests include power system planning and reliability and demand response.

Xinghua Xie

Xinghua Xie received the B.S.degree at North China Electric Power University, Hebei, China,in 2018.He is working towards the M.S.degree at Hefei University of Technology, HeFei, China.His research interests include planning and operation of microgrid and demand response.

Yinghao Ma

Yinghao Ma received the Ph.D.degree in electrical engineering from Chongqing University, Chongqing, China.He is currently an Assistant Professor in school of electrical engineering and automation, Hefei University of Technology, Hefei, China.His research interests include power system planning and reliability.

编辑：王彦博

审核：王伟

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Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

【论文推荐】中国电科院 刘思扬等：基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制研究

郑重声明

【论文推荐】中国电科院刘思扬等：基于直接负荷控制和分时电价策略的柔性负荷最优引导性机制研究