Optimization Scheduling Research of Water-Photovoltaic- Energy Storage Multi-energy Complementary System Based on Cascade Hydropower Regulation

GUI Qianjin; WANG Yang; ZHANG Erlong; LI Xiaoyang; XU Wenfa

doi:10.19805/j.cnki.jcspe.2025.250244

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Optimization Scheduling Research of Water-Photovoltaic- Energy Storage Multi-energy Complementary System Based on Cascade Hydropower Regulation

更新时间：2025-10-22

- Optimization Scheduling Research of Water-Photovoltaic- Energy Storage Multi-energy Complementary System Based on Cascade Hydropower Regulation
- Chinese Journal of Power Engineering Vol. 45, Issue 10, Pages: 1637-1647(2025)
- 作者机构：
  
  国网安徽省电力有限公司安庆供电公司,安徽,安庆,246000
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250244
  CLC：
- Published Online：21 May 2025，
  
  Published：2025
- 稿件说明：
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桂前进,王洋,张二龙,李晓阳,徐文法. 基于梯级水电调节的水-光-储多能互补系统优化调度研究动力工程学报, 2025, 45(10): 1637-1647 https://doi.

org/10.19805/j.cnki.jcspe.2025.250244
桂前进,王洋,张二龙,李晓阳,徐文法. 基于梯级水电调节的水-光-储多能互补系统优化调度研究动力工程学报, 2025, 45(10): 1637-1647 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250244.

org/10.19805/j.cnki.jcspe.2025.250244 DOI：

摘要

为充分发挥流域梯级水电的天然调节能力

构建梯级水-光-储多能互补系统成为了提升清洁能源消纳经济性和可靠性的重要手段。以系统总运行成本最低为目标

综合考虑光伏输出功率和储能充放电特性

建立了梯级水-光-储联合优化调度模型。该模型精细化考虑了4个梯级水电站(共有15台机组)、2个光伏发电群和2个储能系统的运行约束

通过优化储能容量配置和实时调度策略

充分发挥水电的灵活调节能力与储能的快速响应特性

实现多能互补协同优化。在建模方法上

采用混合整数线性规划(MILP)框架

对水电机组启停等非线性约束进行线性化处理

并且基于MATLAB软件平台调用CPLEX求解器实现了高效求解。仿真结果表明:所提出的模型能够有效降低系统运行成本

提高可再生能源消纳比例;水-光-储系统总成本由603.3万元降低至573.6万元

并且在环境效益方面

相比于传统火力发电量化指标节约1 345万元。该方法揭示了水-光-储互补特性对系统经济性和环境排放的影响规律

可以为多能互补系统的优化设计和低碳运行提供理论支撑。

Abstract

To fully leverage the natural regulation capacity of cascade hydropower in river basins

constructing a cascade hydro-photovoltaic (PV)-energy storage multi-energy complementary system has become an important means to enhance the economic efficiency and reliability of clean energy consumption. With the objective of minimizing the total system operating cost

and based on a comprehensive consideration of the PV output power and charge-discharge characteristics of energy storage

a joint optimal scheduling model for cascade hydro-PV-energy storage system was established. The operational constraints of four cascade hydropower stations (with a total of 15 generating units)

two PV power generation clusters

and two energy storage systems were delicately considered in this model. By optimizing the energy storage capacity allocation and real-time scheduling strategies

the flexible regulation capability of hydropower and the rapid response characteristics of energy storage have been fully demonstrated

thereby achieving the collaborative optimization by multi-energy complementarity. In terms of modeling methodology

a mixed integer linear programming (MILP) framework was adopted

with linearization applied to nonlinear constraints such as the start-up and shutdown of hydropower generating units

and the model has been efficiently solved by invoking CPLEX solver based on MATLAB software platform. Simulation results demonstrate that the proposed model can effectively reduce the system operating cost and increase the proportion of renewable energy consumption. The total cost of the hydro-PV-energy storage system decreased from 6.033 million yuan to 5.736 million yuan. Moreover

in terms of environmental benefits

the model can achieve the savings of 13.45 million yuan in quantitative indicators compared with traditional thermal power generation. This method reveals the impact patterns of hydro-PV-energy storage complementarity characteristics on the system economic efficiency and environmental emissions

providing a theoretical support for the optimal design and low-carbon operation of multi-energy complementary systems.

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