风光互补综合能源系统结构与容量协同优化

doi:doi:10.19912/j.0254-0096.tynxb.2024-0765

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风光互补综合能源系统结构与容量协同优化

更新时间：2025-10-22

- 风光互补综合能源系统结构与容量协同优化
- Vol. 46, Issue 9, Pages: 669-677(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0765
  CLC： TM73
- Published Online：14 October 2025，
  
  Published：2025
- 稿件说明：
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[J]. 2025, 46(9): 669-677.
DOI：

[J]. 2025, 46(9): 669-677. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0765.

摘要

针对风光互补综合能源系统的优化设计问题

提出系统结构与设备容量协同优化方法。基于能量梯级利用原理建立综合能源系统分层模型

并以年综合成本最低为目标

将结构与容量协同优化问题构建为双层迭代优化模型。上层优化可再生能源发电、能量转换和储能设备投资和设备间的连接方案

下层优化所选设备的容量和运行方案。利用遗传算法和商业求解器CPLEX求解该问题。结果表明

与基于定结构的容量配置方法相比

所提方法优化方案的年综合成本降低8.7%

验证了其有效性。

Abstract

To address the optimal design of a wind-solar complementary integrated energy system （IES）

a coordinated optimization method of system structure and equipment capacity is proposed. A layered model for IES is firstly established using the principle of energy cascade utilization. The coordinated optimization problem of system structure and capacity that minimizes annual total cost is then formulated as a bi-level iterative optimization problem. The upper level optimizes the investment in renewable energy resources

energy conversion and storage equipment

and their interconnection scheme. The lower level optimizes the capacity and operation scheme of the selected equipment. A genetic algorithm and commercial solver CPLEX are applied to solve the problem. Finally

simulation results show that the proposed method reduces the annual total cost by 8.7% compared with the capacity configuration method based on the predefined system structure

which verifies the effectiveness of the proposed method.

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