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    含风−光−垃圾焚烧/生物质−储的虚拟电厂日前经济调度优化

    Economic dispatch optimization of a virtual power plant with synergistic integration of waste incineration, wind, solar, energy storage, and demand response

    • 摘要: 为促进可再生能源并网消纳、实现垃圾焚烧机组上网,提出含垃圾焚烧机组的风光虚拟电厂协调优化调度模型,考虑可再生能源出力的间歇性和不确定性和生物质能总量的有限性,利用垃圾焚烧机组的灵活调节能力,可有效缓解风光出力的波动性,新能源出力的低碳性又可以提高系统的经济性。利用Matlab软件进行优化求解,该调度模型综合考虑垃圾焚烧发电成本、风电和光伏的运行维护成本、国家补贴收益以及电网安全运行约束等因素,分析虚拟电厂系统配置不同容量发电机组对系统运行经济性的影响,提出优化容量配置的方案以及最优化调度方案。最后,模型仿真计算,得到各发电机组最优配置以及调控策略,能够在满足电网负荷的基础上提高系统效益、促进风电光伏消纳。

       

      Abstract: To facilitate the integration of renewable energy and the disposal of waste incineration units while enabling their grid connection, a coordinated optimization scheduling model was proposed for a hybrid wind-solar virtual power plant incorporating waste incineration units. This model takes into consideration the intermittency and uncertainty of renewable energy output, as well as the finite availability of biomass energy. It leverages the flexible regulation capacity of waste incineration units to effectively mitigate the variability of wind and solar power generation. Furthermore, the low-carbon nature of renewable energy sources enhances the economic viability of the system. The optimization and solution of this scheduling model are conducted using Matlab software. The model comprehensively accounts for factors such as waste incineration power generation costs, operational and maintenance costs of wind and photovoltaic (PV) facilities, national subsidy income, and grid security operational constraints. It analyzes the impact of different capacity configurations of generator units within the virtual power plant on the economic performance of the system. Additionally, the model proposes optimized capacity allocation strategies and scheduling schemes. Finally, through simulation calculations, the model determines the optimal configurations for each generator unit and their control strategies. These strategies aim to enhance the overall system efficiency while ensuring the fulfillment of grid load requirements and promoting the integration of wind and solar power.

       

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