面向多能互补的分布式光伏与气电混合容量规划方法

MA Xiyuan

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面向多能互补的分布式光伏与气电混合容量规划方法

更新时间：2025-08-13

- 面向多能互补的分布式光伏与气电混合容量规划方法
- Automation of Electric Power Systems Vol. 42, Issue 4, Pages: 55-63(2018)
- 作者机构：
  
  南方电网科学研究院有限责任公司,广东省,广州市,510080
- 作者简介：
- 基金信息：
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- Published：2018
- 稿件说明：
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MA Xiyuan. [J]. Automation of electric power systems, 2018, 42(4): 55-63.
DOI：

MA Xiyuan. [J]. Automation of electric power systems, 2018, 42(4): 55-63. DOI：

摘要

提出了一种面向多能互补的分布式光伏与气电混合容量多场景规划方法。考虑到光照强度、负荷均具有显著的时序性和季节性，采用光照强度与负荷的季节性日场景削减结果作为规划模型输入的思想。首先，以多场景下的多能互补系统的基础投资成本和运营成本综合最低为目标，建立了分布式光伏与气电混合容量多场景规划模型的目标函数和约束条件。然后，将季节性多个不同场景下的运行成本与收益进行加权计算，采用细菌觅食算法对所提出的数学优化模型进行求解。最后，通过对含分布式光伏与气电混合的配电网-燃气网协同运行区域的多能互补系统典型算例进行仿真计算，验证了规划方法的有效性，分析了各种价格参数对结果的影响。

Abstract

A scenario-based capacity planning method for distributed photovoltaic power generation(PV)and power-to-gas(P2G)equipment in a multi-energy coupled system is proposed. Based on the significant temporality and seasonality of solar intensity and load

an idea is proposed which uses the reduced scenario results of the seasonal daily solar intensity and load as the input data for the optimal capacity mathematical optimization model. Firstly

the sum of infrastructure investment and operating costs of the multi-energy coupled system under multiple scenarios is regarded as the goal. Secondly

a mathematical optimization model with the objective function and constraints is put forward. The probability-weighted operational cost and benefit are calculated under multiple seasonal scenarios. Then

the bacterial forging algorithm is used to solve this mathematical optimization model. Finally

one benchmark multi-energy coupled system with the co-operation of distribution and gas network including distributed PV and P2G is simulated. The effectiveness of the proposed method is verified and the influence of various price parameters on the results is analyzed.

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