Coordinated optimal scheduling of multi energy sources and loads based on spatiotemporal complementarity

XU Min; LIU Tao; ZHU Ziwei; CHEN Xiang

doi:10.19666/j.rlfd.202101008

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Coordinated optimal scheduling of multi energy sources and loads based on spatiotemporal complementarity

更新时间：2025-09-28

- Coordinated optimal scheduling of multi energy sources and loads based on spatiotemporal complementarity
- Thermal Power Generation Vol. 50, Issue 8, Pages: 104-111(2021)
- 作者机构：
  
  南昌大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202101008
  CLC： TM73
- Published：2021
- 稿件说明：
移动端阅览
XU Min, LIU Tao, ZHU Ziwei, et al. Coordinated optimal scheduling of multi energy sources and loads based on spatiotemporal complementarity[J]. Thermal power generation, 2021, 50(8): 104-111.
DOI：

XU Min, LIU Tao, ZHU Ziwei, et al. Coordinated optimal scheduling of multi energy sources and loads based on spatiotemporal complementarity[J]. Thermal power generation, 2021, 50(8): 104-111. DOI： 10.19666/j.rlfd.202101008.

摘要

传统的能源利用方式已无法解决高比例可再生能源并网问题。对此

本文利用多种能源之间的时空互补特性

将风、光、水、火与抽水蓄能、高载能负荷协调优化调度

建立以系统运行成本最小、可再生能源消纳最大化和净负荷波动最小为目标的多能源电力系统源荷协调双层调度模型

并采用改进的蝗虫优化算法和粒子群优化算法分别对上、下2层优化调度模型进行求解。通过对比算例中4个调度情景的计算结果

得出所提调度策略能够减小系统净负荷的波动性

提高新能源消纳水平

实现系统的经济运行

验证了该模型和所改进的算法的有效性。

Abstract

The conventional energy utilization methods have been unable to solve the problem of high proportion of renewable energy grid connection. To solve this problem

the space-time complementary characteristics of multiple energy sources are used to coordinate and optimize the dispatch of wind

solar

water

thermal

pumped storage and high-load energy loads

and a multi-energy power system with source-load coordination and two-level scheduling model is established

which takes the minimal system operating costs

the maximal renewable energy consumption and the minimal net load fluctuations as the goal

and employs improved grasshopper optimization algorithm and particle swarm optimization algorithm to solve the upper and lower optimization scheduling models respectively. By comparing the calculation results of four scheduling scenarios

it is concluded that the proposed scheduling strategy can reduce the fluctuation of the system's net load

improve the level of renewable energy consumption and realize the economic operation of the system

which verifies the effectiveness of the above model and the improved algorithm.

关键词

Keywords

references

Views

229

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimization of wind-solar-hydrogen gas turbine complementary system configuration based on MOPSO algorithm

Related Author

WANG Yaping

WANG Yutian

LI Yongyi

WANG Zihan

ZHANG Lei

Related Institution

Guoneng Guohua (Beijing) Gas Thermal Power Co., Ltd

Hebei Province Key Laboratory of Low Carbon and Efficient Power Generation Technology (North China Electric Power University)

Department of Power Engineering, North China Electric Power University

College of Energy, Power and Mechanical Engineering, North China Electric Power University

AI问答

⁰