School of Harbin Institute of Technology, Harbin Heilongjiang, Harbin, China.
PLoS One. 2023 Apr 20;18(4):e0284030. doi: 10.1371/journal.pone.0284030. eCollection 2023.
This study intends to optimize the trading decision-making strategy of the new electricity market with virtual power plants and improve the transmission efficiency of electricity resources. The current problems in China's power market are analyzed from the perspective of virtual power plants, highlighting the necessity of reforming the power industry. The generation scheduling strategy is optimized in light of the market transaction decision based on the elemental power contract to enhance the effective transfer of power resources in virtual power plants. Ultimately, value distribution is balanced through virtual power plants to maximize the economic benefits. After 4 hours of simulation, the experimental data shows that 75 MWh of electricity is generated by the thermal power system, 100 MWh by the wind power system, and 200 MWh by the dispatchable load system. Comparatively, the new electricity market transaction model based on the virtual power plant has an actual generation capacity of 250MWh. In addition, the daily load power of the models of thermal power generation, wind power generation, and virtual power plant reported here are compared and analyzed. For a 4-hour simulation run, the thermal power generation system can provide 600 MW of load power, the wind power generation system can provide 730 MW of load power, and the virtual power plant-based power generation system can provide up to 1200 MW of load power. Therefore, the power generation performance of the model reported here is better than other power models. This study can potentially encourage a revised transaction model for the power industry market.
本研究旨在通过虚拟电厂优化新电力市场的交易决策策略，提高电力资源的传输效率。从虚拟电厂的角度分析中国电力市场当前存在的问题，突出电力行业改革的必要性。基于元素电量合同，优化市场交易决策的发电调度策略，增强虚拟电厂中电力资源的有效转移。最终通过虚拟电厂实现价值分配平衡，最大化经济效益。经过 4 小时的模拟，实验数据表明，火力发电系统产生 75MWh 的电量，风力发电系统产生 100MWh 的电量，可调度负荷系统产生 200MWh 的电量。相比之下，基于虚拟电厂的新型电力市场交易模型的实际发电量为 250MWh。此外，还对火力发电、风力发电和虚拟电厂模型的日负荷功率进行了比较和分析。对于 4 小时的模拟运行，火力发电系统可提供 600MW 的负荷功率，风力发电系统可提供 730MW 的负荷功率，基于虚拟电厂的发电系统可提供高达 1200MW 的负荷功率。因此，这里报告的模型的发电性能优于其他电力模型。本研究可能会鼓励对电力行业市场的交易模型进行修订。
