Complementary Intelligent Optimization Operation Strategy of Wind-Solar-Hydro Multi-energy Power System

Wei HU; Yuchen QI; Hongxuan ZHANG; Ling DONG; Yanhe LI

doi:10.12096/j.2096-4528.pgt.19173

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Complementary Intelligent Optimization Operation Strategy of Wind-Solar-Hydro Multi-energy Power System

Key Technologies for Ubiquitous Power Internet of Things and Integrated | 更新时间：2025-07-04

- Complementary Intelligent Optimization Operation Strategy of Wind-Solar-Hydro Multi-energy Power System
- Power Generation Technology Vol. 41, Issue 1, Pages: 9-18(2020)
- 作者机构：
  
  1.清华大学电机工程与应用电子技术系, 北京市海淀区 100084
  2.国网青海省电力公司, 青海省西宁市 810003
- 作者简介：
- 基金信息：
  
  National Key Research and Development Program of China(2017YFB0902200);Science and Technology Project of State Grid Corporation of China(5228001700CW)
- DOI：10.12096/j.2096-4528.pgt.19173
  CLC： TM71
- Received：26 November 2019，
  
  Published：29 February 2020
- 稿件说明：
移动端阅览
Wei HU, Yuchen QI, Hongxuan ZHANG, et al. Complementary Intelligent Optimization Operation Strategy of Wind-Solar-Hydro Multi-energy Power System[J]. Power Generation Technology, 2020, 41(1): 9-18.
DOI：

Wei HU, Yuchen QI, Hongxuan ZHANG, et al. Complementary Intelligent Optimization Operation Strategy of Wind-Solar-Hydro Multi-energy Power System[J]. Power Generation Technology, 2020, 41(1): 9-18. DOI： 10.12096/j.2096-4528.pgt.19173.

摘要

高比例可再生能源接入电网，采用风光水互补发电可以提供平滑和稳定的电力供应。针对风光水多能源电力系统，采用大数据和人工智能技术，提出基于随机规划的短期优化运行方法。首先，基于变分自编码器（variational autoencoder，VAE）提出了可再生能源场景生成方法，能够生成符合可再生能源出力特性的多样化场景，并精确刻画可再生能源出力的相关性。其次，基于场景法建立了风光水互补短期优化运行模型，并采用分段线性化的方法将多种非线性约束转化为线性约束，可以保证模型精度的同时实现快速求解。最后，通过对雅砻江下游风光水发电基地的算例仿真，验证了所提的智能优化运行策略的有效性。

Abstract

For high-ratio renewable energy access to the grid

the utilization of wind-solar-hydro complementary power generation can provide a smooth and stable power supply. This paper proposed a short-term optimal operation method based on stochastic programming for the windsolar-hydro multi-energy power system

using big data and artificial intelligence technology. Firstly

based on the variational autoencoder (VAE)

a renewable energy scenarios generation method was proposed

which can generate diverse scenarios that meet the characteristics of renewable energy output and accurately describe the correlation of renewable energy output. Secondly

based on the scenarios method

a short-term optimization operation model of wind-solar-hydro was established and a piecewise linearization method was used to transform various nonlinear constraints into linear constraints

which can achieve fast solution while ensuring the accuracy of the model. Finally

through the simulation of the wind-solarhydro power system in downstream of the Yalong River

it demonstrates the effectiveness of the intelligent optimization operation strategy proposed in this paper.

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references

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