摘要
将参与用户侧管理负荷分为两类:可平移负荷和随机负荷,建立了基于负荷平移的用户侧负荷管理数学模型。运行周期分为谷、平、峰3个时段,在分布式电源经济出力及用户侧负荷优化调度协同作用的基础上,建立了考虑用户侧负荷平移的以微网运行成本最低为目标函数的微网经济运行模型。利用线性逼近法将非线性目标函数简化,采用最佳保留策略选择算子,通过改进遗传算法对上述模型进行求解。仿真结果验证了遗传算法的适用性和该模型的有效性,考虑用户侧负荷平移的微网较不考虑时的成本降低了4.01%,表明微网分布式电源和用户侧负荷协同优化具有较高的经济效益。
The loads that participate in the user- side management are divided into two categories： transferable load and user - action load, and the mathematical model of user - side load management is established based on load transfer. The run cy- cle is divided into three periods, that is, valley time, fiat time and peak time, and based on the cooperation of economic out- put of the distributed generations and optimal dispatch of the user - side load, an economic operation model of micro - grid is established, in which the user - side load transfer is taken into account and the minimum operation cost of micro - grid is taken as objective function. Using the linear approximation method to simplify the nonlinear objective function and the best re- tention strategy to select the operators, the proposed model is solved by the improved genetic algorithm. The simulation results verify that the genetic algorithm is applicable and the proposed model is effective. The total cost of micro - grid reduces by 4.01% considering user- side load transfer, which indicates that a higher economy can be achieved with cooperation optimi- zation of distributed generations and user - side load in micro - grid.
出处
《四川电力技术》
2016年第1期45-50,62,共7页
Sichuan Electric Power Technology
关键词
用户侧可平移负荷管理
微网
经济优化模型
线性逼近
遗传算法
user- side transferable load management
micro- grid
economic optimization model
linear approximation
genetic algorithm
