多重不确定性环境下的新能源电力系统优化调度研究

Research on Optimal Dispatching of New Energy Power Systems under Multiple Uncertainties

中文关键词:多重不确定性环境  新能源电力系统  优化调度  整数线性规划函数

keywords:multiple uncertain environments  new energy power system  optimal scheduling  integer linear programming function

中文摘要:针对多重不确定性环境因素的影响，提出一种降低新能源电力系统优化调度运行成本的方法。基于新能源电力系统的发电成本、惩罚成本等，构建优化调度目标函数；根据目标总成本函数，在考虑多重不确定环境因素下，使用神经网络结构来建立转移函数，对适应值进行动态调整，并按照允许的最大限制，构建出新能源电力系统优化调度模型；利用所构建模型对数据进行处理，将关系函数转化为混合整数线性规划函数，对其进行迭代计算，得到新能源系统优化调度结果，进而对新能源电力系统进行优化调度。仿真实验结果表明：使用所提方法对新能源电力系统进行优化调度后，能够减少系统冗余，且运行成本较低、经济性较好。

Abstract:In response to the impacts of multiple uncertain environmental factors，this paper proposes a method to reduce the operational cost of optimal dispatching of new energy power systems. Based on the power generation cost，penalty cost，and other relevant costs of the new energy power system，the objective function for optimal dispatching is established. Considering multiple uncertain environmental factors，a neural network structure is adopted to construct a transfer function based on the total objective cost function，dynamically adjust the fitness value，and build an optimal dispatching model for the new energy power system in accordance with the maximum allowable constraints. Using the constructed model to process data，the relational function is transformed into a mixed-integer linear programming （MILP） function，and iterative calculations are performed to obtain the optimal dispatching results of the new energy system，thereby realizing the optimal dispatching of the new energy power system. Simulation results show that after applying the proposed method to the optimal dispatching of new energy power systems，system redundancy can be reduced，and lower operational costs and better economic efficiency can be achieved.