Multi-Time-Scale Low-Carbon Economic Dispatch Method for Virtual Power Plants Considering Pumped Storage Coordination

Author:

Zhang Junwei1,Liu Dongyuan23,Lyu Ling3,Zhang Liang3,Du Huachen3,Luan Hanzhang3,Zheng Lidong3

Affiliation:

1. SPIC Green Energy Science & Technology Development Co., Ltd., Beijing 100095, China

2. State Grid Jibei Electric Power Co., Ltd. Chengde Power Supply Company, Chengde 067000, China

3. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Abstract

Low carbon operation of power systems is a key way to achieve the goal of energy power carbon peaking and carbon neutrality. In order to promote the low carbon transition of energy and power and the coordinated and optimized operation of distributed energy sources in virtual power plants (VPP), this paper proposes a framework for collaborative utilization of pumped storage–carbon capture–power-to-gas (P2G) technologies. It also constructs a multi-time scale low carbon economic dispatch model for VPP to minimize the internal resource operation cost of VPP in each time period. During the intraday scheduling stage, the day-ahead scheduling results as the planned output and the energy flow is then dynamically corrected at a short-term resolution in the framework. This allows for the exploration of the low-carbon potential of each aggregation unit within the virtual power plant. The results of the simulation indicate that the strategy and model proposed in this paper can effectively encourage the consumption of renewable energy sources, promote the low-carbon operation of power system power, and serve as a valuable reference for the low-carbon economic operation of the power system.

Funder

International Science and Technology Cooperation Project of Jilin Province and Technology De-partment

Publisher

MDPI AG

Reference33 articles.

1. Integrated Relative-Measurement-Based Network Localization and Formation Maneuver Control;Fang;IEEE Trans. Autom. Control,2024

2. Distributed Formation Maneuver Control Using Complex Laplacian;Fang;IEEE Trans. Autom. Control,2024

3. WSC Capture Coordination in Virtual Power Plant Considering Source-Load Uncertainty;Zhong;Power Syst. Technol.,2020

4. Coordinated Optimal Dispatching of Power-Heat-Gas for Virtual Power Plant Participating in Multiple Markets;Fulu;Proc. CSU-EPSA,2019

5. Multi-Time Scale Source-Load Dispatch Method of Power System with Wind Power Considering Low-Carbon Characteristics of Carbon Capture Power Plant;Cui;Proc. CSEE,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3