计及碳交易机制的电力系统随机优化调度

为应对全球变暖,提高电网运行的经济与环境效益,引入碳交易机制,以系统发电能源消耗成本与碳交易成本之和作为目标函数,建立了碳交易机制下含多种分布式能源的电力系统优化调度模型。针对分布式能源接入和负荷波动给系统带来的相关性与随机性,采用基于Nataf变换的多点估计法将不确定模型转化为确定性模型求解。对IEEE57节点电力系统的仿真分析和对蒙特卡洛法的对比分析验证了所提模型及方法的有效性。最后,在此基础上分析了估计点个数对算法的影响以及碳交易价格对系统运行的影响。

Carbon Trading Based Stochastic Optimal Dispatching of Power System

To solve the global warming and improve economic and environmental benefits of power grid,this paper introduces the carbon trading mechanism to establish a power system optimal dispatching model with multiple distributed energy,which puts the sum of energy consumption cost and carbon transaction cost as the objective function.According to the correlation and randomness of distributed energy resources access and load fluctuation,this paper uses the multi-point estimation method based on Nataf transform to change the uncertain model into deterministic model.The effectiveness of the proposed model and method is verified by the simulation analysis of IEEE 57 power system and the comparison with Monte Carlo method.Finally,on the basis of the analysis,this paper analyzes the influence of the number of points on the algorithm and the influence of the carbon trading price on the system operation.