软件部署
光伏系统
系统动力学
储能
分布式发电
计算机科学
动力学(音乐)
系统工程
分布式计算
可再生能源
工程类
功率(物理)
电气工程
物理
操作系统
量子力学
人工智能
声学
作者
Zhiyuan Chen,Tieli Wang,Feng Wang
摘要
This paper investigates the obstacles hindering the deployment of energy storage (ES) in distributed photovoltaic (DPV) systems by constructing a tripartite evolutionary game model involving energy storage investors (ESIs), distributed photovoltaic plants (DPPs), and energy consumers (ECs). Utilizing system dynamics (SD), this study systematically analyzes how parameter changes impact the deployment of DPV-ES systems. The findings reveal several critical impediments: (1) Lack of Incentives for DPPs. Under basic parameters, DPPs show no incentive to adopt positive deployment strategies due to high costs without corresponding returns. (2) Parameter Influence. Factors such as weak electricity supply capacity for ECs, high accident risk charges, and land rent may hinder ESIs or DPPs from adopting positive deployment strategies. However, stakeholders' initial willingness, fines for ECs, profit distribution ratios, and annual investment costs of ES systems do not alter participant strategies. (3) Cooperative Relationships and Economic Factors. Higher unit electricity prices and accident risk charges associated with DPV-ES plants increase electricity costs for ECs, potentially hindering the deployment of ES systems and leading to a circular game among stakeholders without ESS deployment. This study provides valuable insights for government and industry stakeholders to identify and eliminate barriers to the integrated development of DPV and ES systems, thereby promoting more effective deployment strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI