School of Culture Tourism and Public Administration, Fujian Normal University, Fuzhou, 350117, China.
School of Economics and Management, Fuzhou University, Fuzhou, 350116, China.
J Environ Manage. 2024 Nov;370:122988. doi: 10.1016/j.jenvman.2024.122988. Epub 2024 Oct 23.
In the face of diminishing traditional subsidy models and the constraints of grid-dependent transactions, this study explores trading models as a catalyst for rural electrification and sustainable development in China. Highlighting the emergence of rural photovoltaic (PV) prosumers, we propose trading models through cooperative alliances to facilitate market engagement within a peer-to-peer (P2P) framework. By applying the Shapley value for the equitable distribution of internal revenues, the study elucidates the complex interrelations between rural prosumers and the electrical grid, fostering a better understanding of their mutual interests. Further, we introduce a dynamic game-theoretic model to investigate the evolving market behaviors under diverse strategic influences among rural prosumer groups and the grid. Using numerical simulations based on real-world data from Shanghang County, Fujian Province, we analyze surplus and deficit electricity production scenarios within these alliances. The findings underscore the effectiveness of the cooperative alliance trading model in aligning individual, collective, and societal benefits. This comparative analysis of strategic outcomes validates the model's feasibility and role in advancing sustainable rural electrification strategies.
面对传统补贴模式的减少和对电网交易的限制，本研究探讨了交易模式在中国农村电气化和可持续发展中的催化作用。本研究强调了农村光伏（PV）自生产者的出现，并通过合作联盟提出了交易模式，以促进在点对点（P2P）框架内的市场参与。通过应用夏普利值（Shapley value）公平分配内部收入，本研究阐明了农村自生产者和电网之间复杂的相互关系，更好地理解了他们的共同利益。此外，我们引入了一个动态博弈论模型，以研究不同农村自生产者群体和电网之间的战略影响下，市场行为的演变。我们使用来自福建省上杭县的实际数据进行数值模拟，分析了这些联盟内剩余和短缺电力生产的情景。研究结果强调了合作联盟交易模式在协调个人、集体和社会利益方面的有效性。对战略结果的比较分析验证了该模型在推进可持续农村电气化战略方面的可行性和作用。
