基于负荷划分的农业园区储能优化配置研究

程龙; 邱爽; 章子谦; 韩冰; 刘路; 宋延

doi:10.19912/j.0254-0096.tynxb.2025-0143

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基于负荷划分的农业园区储能优化配置研究

更新时间：2026-07-22

- 基于负荷划分的农业园区储能优化配置研究
- Vol. 47, Issue 6, Pages: 562-572(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0143
  CLC： TM732
- Online First：08 July 2026，
  
  Published：2026
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程龙, 邱爽, 章子谦, et al. 基于负荷划分的农业园区储能优化配置研究[J]. 2026, 47(6): 562-572.
DOI：

程龙, 邱爽, 章子谦, et al. 基于负荷划分的农业园区储能优化配置研究[J]. 2026, 47(6): 562-572. DOI： 10.19912/j.0254-0096.tynxb.2025-0143.

摘要

针对农业园区新型电力系统中发电侧功率波动以及用电侧负荷需求多样化、不确定导致的系统运行稳定性差和综合经济效益低等问题

构建一种基于负荷划分的储能容量优化配置模型。首先

依据负荷划分确定两阶段储能配置策略

针对常规负荷需求优先由光伏出力补充

分析不平衡功率

采用均方根（RMS）包络技术平抑波动功率;其次

针对农业负荷需求

构建净现值（NPV）为经济优化目标函数

以分时电价策略激励储能容量实现削峰填谷、消纳补偿;最后

以某农业园区夏、冬两季数据为例

且以粒子群算法为优化工具

得到两阶段优化配置结果：夏、冬两季负荷整体功率波动分别下降约32%和27%

负荷峰谷差率分别下降13.1%、14.4%

储能综合经济收益相较于直接配置方法提高21%。算例验证了所提方法能有效降低微电网功率波动问题

提高储能配置带来的综合经济收益。

Abstract

The new power system in agricultural parks faced the problems of poor system operation stability and low comprehensive economic efficiency due to power fluctuation on the generation side and diverse and uncertain load demand on the consumption side. For this reason

this paper constructed a model of optimized allocation of energy storage capacity based on load division

aiming to improve the stability and economic efficiency of the system. Firstly

a two-stage energy storage allocation tactic was determined in accordance with load segmentation. In this regard

the conventional load demand was preferentially supplemented by photovoltaic power

and the root-mean-square （RMS） envelope technique was harnessed to quell the unsteady power oscillations. Secondly

for the agricultural load demand

the net present value （NPV） was constructed as the optimization objective function. This was then conjoined with the time-of-use tariff strategy to impel the energy storage capacity to perform peak shaving

valley filling

and consumption compensation. Finally

by leveraging the summer and winter data of an agricultural park and deploying the particle swarm optimization algorithm

the outcomes of the two-stage allocation were attained. Namely

the overall power oscillations of the summer and winter loads are abated by around 32% and 27% respectively. The peak-to-valley ratios of the loads are lessened by 13.1% and 14.4% respectively. Moreover

the comprehensive economic return of energy storage is enhanced by 21% when compared with the direct allocation method. The exemplifications corroborated that the methodology proposed in this paper could efficaciously attenuate the microgrid power fluctuation quandary and augment the comprehensive economic benefits engendered by energy storage allocation.

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