考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度

CHENG Shan

doi:10.19783/j.cnki.pspc.240607

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考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度

更新时间：2025-12-08

- 考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度
- Power System Protection and Control Vol. 45, Issue 10, (2025)
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- DOI：10.19783/j.cnki.pspc.240607
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- Published：2025
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CHENG Shan. 考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度[J]. Power System Protection and Control, 2025, 45(10).
DOI：

CHENG Shan. 考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度[J]. Power System Protection and Control, 2025, 45(10). DOI： 10.19783/j.cnki.pspc.240607.

摘要

为提高低碳园区综合能源系统(regional integrated energy system

RIES)的低碳性和可再生能源消纳率，提出一种考虑电转气(power-to-gas

P2G)、碳捕集装置(carbon capture and storage

CCS)和氢燃料电池(hydrogen fuel cell

HFC)协调运行的RIES低碳经济调度方法。首先，根据传统火电机组集中碳排放的特点，加入CCS打造更具灵活性的碳捕集电厂(carbon capture power plant

CCPP)。其次，在两阶段P2G中加入HFC，细化氢能使用，建立P2G-CCS-HFC整体模型，在氢能平衡约束条件下，分析不同设备决策对整体模型优化成本的影响。同时，在供能侧和需求侧分别引入绿证-碳交易和综合需求响应双重市场机制激励。最后，考虑风光不确定性，以风光历史数据为基础，构建考虑场景分析和数据驱动的、以最小化总成本为目标函数的RIES分布鲁棒调度模型。基于算例的仿真结果表明，该方法可有效降低碳排放水平，促进新能源消纳，为区域综合能源系统低碳经济调度等研究提供参考。

Abstract

To enhance the low-carbon characteristic and renewable energy utilization rate of regional integrated energy systems (RIES)

a low-carbon economic scheduling method for RIES considering the coordinated operation of power-to-gas (P2G)

carbon capture and storage (CCS)

and hydrogen fuel cells (HFC) is proposed. First

based on the concentrated carbon emissions of traditional thermal power units

CCS is integrated to create a more flexible carbon capture power plant (CCPP). Second

HFC is incorporated into the two-stage P2G process to refine the utilization of hydrogen energy. A comprehensive P2G-CCS-HFC model is established

and under the constraints of hydrogen energy balance

the impact of different equipment decisions on the overall optimization cost is analyzed. Simultaneously

dual market mechanism incentives of green certificate-carbon trading and comprehensive demand response are introduced on the energy supply and demand sides

respectively. Finally

considering the uncertainty of wind and solar power

and using historical data

a scenario-based and data-driven distributed robust scheduling model is constructed with the objective of minimizing the total cost. Simulation results based on case studies show that the proposed method effectively reduces carbon emissions

promotes renewable energy consumption

and offers a reference for low-carbon economic scheduling in RIES.

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Related Author

ZHAI Suwei

SHEN Fu1

ZHANG Yutao

WANG Jian

YANG Guangbing

Related Institution

ZHAI Suwei(1.?Faculty of Electric Power Engineering, Kunming University of Science and Technology

Training and Evaluation Center of Yunnan Power Grid Co., Ltd.

China Electric Power Research Institute, Yunnan Power Grid Co., Ltd.

WANG Hongtao(1. School of Electrical and Electronic Engineering, North China Electric Power University

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University),,)

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