An Optimal Dispatching Model for Day-ahead Operation Considering Coupling of Wind and Photovoltaic Power Generation and Hydrogen Storage System

MA Rui; HAO Xiaoguang; JIN Fei; LI Jianfeng; DU Tianshuo

doi:10.19725/j.cnki.1007-2322.2023.0322

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An Optimal Dispatching Model for Day-ahead Operation Considering Coupling of Wind and Photovoltaic Power Generation and Hydrogen Storage System

更新时间：2025-12-11

- An Optimal Dispatching Model for Day-ahead Operation Considering Coupling of Wind and Photovoltaic Power Generation and Hydrogen Storage System
- Issue 6, Pages: 1339-1348(2025)
- 作者机构：
  
  1. 国网河北省电力有限公司电力科学研究院,河北省,石家庄市,050031
  2. 天津大学电气自动化与信息工程学院, 天津市南开区,300072
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0322
  CLC：
- Published：2025
- 稿件说明：
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MA Rui, HAO Xiaoguang, JIN Fei, et al. An Optimal Dispatching Model for Day-ahead Operation Considering Coupling of Wind and Photovoltaic Power Generation and Hydrogen Storage System[J]. 2025, (6): 1339-1348.
DOI：

MA Rui, HAO Xiaoguang, JIN Fei, et al. An Optimal Dispatching Model for Day-ahead Operation Considering Coupling of Wind and Photovoltaic Power Generation and Hydrogen Storage System[J]. 2025, (6): 1339-1348. DOI： 10.19725/j.cnki.1007-2322.2023.0322.

摘要

风光等可再生能源发电存在的随机性与间歇性问题将直接影响电网的安全稳定运行，采用风光氢储互补系统并结合系统日前调度的方法可以有效解决风光发电波动等问题。为此，以负荷端氢气供应需求为核心，联合考虑电化学储能和氢储能技术，建立了风光互补氢储能系统的运行优化模型，采用反向混沌麻雀优化算法求解，并将结果与传统优化算法进行比较。结果表明：采用改进算法求解的日前运行方案可全天节省约10%的系统运行成本。计算实例的分析结果表明，建立的模型充分考虑了系统中设备的实际运行特点，在分时电价机制下，通过调整从电网购买的电量和蓄电池的充放电功率，可以有效减少弃风弃光。而且通过优化系统的日前调度，在确保制氢电力满足氢气需求的同时，实现了系统日常运行成本的最小化。

Abstract

The randomness and intermittence of renewable energy generation

such as wind and photovoltaic power generation

directly affect the safe and stable operation of the power grid system. The utilization of wind

photovoltaic

and solar hydrogen storage complementary system combined with system day-ahead scheduling can effectively address the issue of wind power generation fluctuation. Therefore

in this paper we focuse on the demand for hydrogen supply at the load end

and combine the electrochemical energy storage and hydrogen energy storage technologies to establish an operational optimization model for the wind-photovoltaic complementary hydrogen energy storage system. The reverse chaotic sparrow optimization algorithm is employed to solve the problem

and a comparison is made with traditional optimization algorithms. The results demonstrate that the day-ahead operation scheme solved by the improved algorithm yields about 28% savings in the system operation cost throughout the day. The analysis results of calculation examples indicate that the established model comprehensively takes into account the actual operation characteristics of the equipment in the system. Under the time-sharing electricity price mechanism

the abandoned wind and photovoltaic can be effectively reduced by adjusting the amount of electricity purchased from the power grid and the charging and discharging power of the battery. The daily operating cost of the system is minimized by optimizing the day-ahead scheduling of the system

while ensuring that the hydrogen production power meets the hydrogen demand.

关键词

Keywords

references

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