首页|光储充组态综合能源投资收益预测模型构建

光储充组态综合能源投资收益预测模型构建

扫码查看
为了实现光储充组态建设的利益最大化,构建光储充组态投资收益预测模型.将光伏发电系统的各种费用和成本、蓄电池废弃处置成本以及电网购电成本作为投资成本,结合充电桩收益构建光储充组态投资收益预测模型.针对所构建的投资收益预测模型,设置功率平衡约束、储能电量约束等约束条件,选取蒙特卡洛模拟方法结合混沌粒子群算法,求解光储充组态投资收益预测模型,实现光储充组态投资收益预测.模型测试结果表明,该模型可以预测光储充组态系统的投资收益,投资人员可以依据投资收益预测结果,制定相关投资策略,获取理想收益.
Construction of Comprehensive Energy Investment Income Prediction Model for Solar Charging and Storage Configuration
In order to maximize the benefits of the construction of the solar charging and storage configuration,a prediction model of the investment income of the solar charging and storage configuration is constructed.Taking the operating cost of pho-tovoltaic power generation system,initial investment cost of energy storage system,annual operation and maintenance cost,battery replacement cost,battery disposal cost,and grid power purchase cost as investment cost,combined with the income of charging piles,an investment income prediction model of solar charging and storage configuration is constructed.In the invest-ment income prediction model,this paper sets constraints such as power balance constraints and energy storage capacity con-straints,selects the Monte Carlo simulation method combined with the chaotic particle swarm algorithm to solve the investment income prediction model of the solar charging and storage configuration,and realize the solar charging and storage group,and prediction of state investment returns.The model test results show that the model can predict the investment income of the so-lar charging and storage configuration system,and investors can formulate relevant investment strategies according to the in-vestment income prediction results to obtain ideal income.

solar charging and storageconfigurationinvestment incomephotovoltaic power generation systembatterycharging pile

朱铁铭、陈大兴、沈凯、王建飞

展开 >

国网浙江省电力有限公司杭州市萧山区供电公司,浙江,杭州 311200

浙江中新电力工程建设有限公司设计分公司,浙江,杭州 310000

光储充 组态 投资收益 光伏发电系统 蓄电池 充电桩

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(7)