Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response

YANG Xiyong; ZHANG Yangfei; LIN Gang; ZHANG Yuzhuo; AN Yunzhan; YANG Haotian

doi:10.12096/j.2096-4528.pgt.22119

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Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response

Smart Grid | 更新时间：2025-06-06

- Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response
- Power Generation Technology Vol. 44, Issue 2, Pages: 253-260(2023)
- 作者机构：
  
  1.南京工程学院电力工程学院,江苏省南京市 211167
  2.国网福建省电力有限公司泉州供电公司,福建省泉州市 362000
  3.国网浙江省电力有限公司绍兴供电公司,浙江省绍兴市 312000
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52107098)
- DOI：10.12096/j.2096-4528.pgt.22119
  CLC： TK 01;TM 715
- Received：09 July 2022，
  
  Published：30 April 2023
- 稿件说明：
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杨锡勇,张仰飞,林纲等.考虑需求响应的源-荷-储多时间尺度协同优化调度策略[J].发电技术,2023,44(02):253-260.

YANG Xiyong,ZHANG Yangfei,LIN Gang,et al.Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response[J].Power Generation Technology,2023,44(02):253-260.
杨锡勇,张仰飞,林纲等.考虑需求响应的源-荷-储多时间尺度协同优化调度策略[J].发电技术,2023,44(02):253-260. DOI： 10.12096/j.2096-4528.pgt.22119.

YANG Xiyong,ZHANG Yangfei,LIN Gang,et al.Multi-Time Scale Collaborative Optimal Scheduling Strategy for Source-Load-Storage Considering Demand Response[J].Power Generation Technology,2023,44(02):253-260. DOI： 10.12096/j.2096-4528.pgt.22119.

摘要

为应对未来高比例新能源接入带来的挑战，需充分挖掘不同类型调度资源的可调潜力。为此，提出了一种考虑需求响应的源-荷-储多时间尺度优化调度策略，旨在通过源-荷-储参与电网协同优化调度，提高系统运行的经济性和可靠性。首先，分析了不同类型可调资源的特性，构建了多时间尺度滚动调度总体框架，将整体调度分为日前调度和日内调度2个阶段；其次，基于多场景随机规划方法，建立了以系统总运行成本最小为目标的日前、日内优化调度模型，并在保证系统可靠运行的前提下对模型进行求解；最后，采用改进IEEE-30节点系统进行仿真分析，验证了所提策略的可行性和有效性。

Abstract

In order to meet the challenges brought by the high proportion of new energy access in the future

it is necessary to fully tap the adjustable potential of different types of scheduling resources. Therefore

a multi-time scale optimal scheduling strategy of source-load-storage considering demand response was proposed to improve the economy and reliability of system operation by participating in the coordinated optimal scheduling of power grid. Firstly

the characteristics of different types of adjustable resources were analyzed

and the overall framework of multi-time scale rolling scheduling was constructed. The overall scheduling was divided into two stages: day-ahead scheduling and intra-day scheduling. Secondly

based on the multi-scenario stochastic programming method

the day-ahead and intra-day optimal scheduling models with the goal of minimizing the total operating cost of the system were established

and the models were solved under the premise of ensuring the reliable operation of the system. Finally

the improved IEEE-30 node system was used for simulation analysis to verify the feasibility and effectiveness of the proposed strategy.

关键词

Keywords

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