Research on the Economic Mathematical Prediction Model of User Side Light Storage Energy Generation and its on-Site Validation Analysis

Under specific boundary conditions, considering different “self use” ratios, the total power generation, total revenue, total profit, average electricity profit, cost recovery period, total profit margin, and annual average profit margin of 1kW photovoltaic project can be calculated over its entire life cycle(25 years). According to calculations, with annual utilization time of 603 hours and all self use, the total installed power generation of 1kW photovoltaic is 15000 kilowatt hours, and the discounted total income over 25 years is 8548 yuan. Compared with the comprehensive investment of 4200 yuan per unit of installed capacity construction, the total profit margin is 103.52%, the annual average profit margin is 4.14%, and the cost recovery period is 9 years. After calculation and simulation, the charging and discharging characteristic curve of group user side energy storage photovoltaic system can be obtained. For photovoltaic characteristic curves, this article collected typical power system characteristic load curves and found that the photovoltaic output curve presents an inverted “U” shaped distribution, but the electricity consumption curve presents an irregular distribution feature. And based on Hop-field Lagrange neural network, a single photovoltaic cell capacitor is used as a neural network node, and the daily distribution curves of photovoltaic cell are obtained through continuous iterative optimization. The optimization result is to optimize the power load curve from the traditional “M” type characteristic curve to a stable horizontal curve. Calculated based on comprehensive construction investment of 4200 yuan/kilowatt (excluding operating costs) per unit of installed capacity, 603 hours of annual utilization, and all self use, the total profit margin is 103.52%, the average electricity profit is 0.2884 yuan, and the cost recovery period is 9 years. The break-even point of the converted average electricity price is 0.48195 yuan/kilowatt hour, which is lower than the current time of use electricity price's converted average electricity price (0.98084 yuan/kilowatt hour), with a difference of 0.49889 yuan/kilowatt hour.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/ccnis64984.2024.00037
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Economic Mathematical Prediction Model of User Side Light Storage Energy Generation and its on-Site Validation Analysis

Jizhong Chen, Shiling Zhang, Ye Fan, Wu Jungang et al.
Power Systems and Renewable Energy
article

Research on the Economic Mathematical Prediction Model of User Side Light Storage Energy Generation and its on-Site Validation Analysis

Jizhong Chen, Shiling Zhang, Ye Fan, Wu Jungang, Nian Liu, Haoyu Wang, Qiang Xiao
article en

Abstract

Under specific boundary conditions, considering different “self use” ratios, the total power generation, total revenue, total profit, average electricity profit, cost recovery period, total profit margin, and annual average profit margin of 1kW photovoltaic project can be calculated over its entire life cycle(25 years). According to calculations, with annual utilization time of 603 hours and all self use, the total installed power generation of 1kW photovoltaic is 15000 kilowatt hours, and the discounted total income over 25 years is 8548 yuan. Compared with the comprehensive investment of 4200 yuan per unit of installed capacity construction, the total profit margin is 103.52%, the annual average profit margin is 4.14%, and the cost recovery period is 9 years. After calculation and simulation, the charging and discharging characteristic curve of group user side energy storage photovoltaic system can be obtained. For photovoltaic characteristic curves, this article collected typical power system characteristic load curves and found that the photovoltaic output curve presents an inverted “U” shaped distribution, but the electricity consumption curve presents an irregular distribution feature. And based on Hop-field Lagrange neural network, a single photovoltaic cell capacitor is used as a neural network node, and the daily distribution curves of photovoltaic cell are obtained through continuous iterative optimization. The optimization result is to optimize the power load curve from the traditional “M” type characteristic curve to a stable horizontal curve. Calculated based on comprehensive construction investment of 4200 yuan/kilowatt (excluding operating costs) per unit of installed capacity, 603 hours of annual utilization, and all self use, the total profit margin is 103.52%, the average electricity profit is 0.2884 yuan, and the cost recovery period is 9 years. The break-even point of the converted average electricity price is 0.48195 yuan/kilowatt hour, which is lower than the current time of use electricity price's converted average electricity price (0.98084 yuan/kilowatt hour), with a difference of 0.49889 yuan/kilowatt hour.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 67%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.