基于并行遗传算法的含风电场电力能源调度系统设计  

Design of Power Energy Dispatching System with Wind Farm Based on Parallel Genetic Algorithm

作　　者：彭嘉宁 房娟 杨家麒 PENG Jia-ning;FANG Juan;YANG Jia-qi(State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750000 China)

机构地区：[1]国网宁夏电力有限公司,宁夏银川750000

出　　处：《自动化技术与应用》2024年第12期75-79,共5页Techniques of Automation and Applications

基　　金：国网宁夏省电力有限公司科技项目(5229NX29008R)。

摘　　要：随着风力发电技术的不断发展,其并入大电网的规模也在不断地扩大。由于风速无法确定,致使风电场出力具有极大的不确定性,对电网稳定性和电能质量方面带来极大威胁,提出基于并行遗传算法的含风电场电力能源调度系统设计研究。研究分析风电场并网对电网的影响,构建了准入容量线性模型计算风电场准入最大容量。以经济性和可靠性为目标,确定含风电场电力能源调度目标函数,引入并行遗传算法优化求解,得到最优解。实验结果表明,该系统加速比最大值达到9.4,电压控制在合理范围内,含风电场电力能源调度系统具有更好的电力能源调度能力。With the continuous development of wind power generation technology,the scale of its integration into the large power grid is also constantly expanding.Due to the uncertainty of wind speed,the output of wind farms is highly uncertain,posing a great threat to the stability and power quality of the power grid.Therefore,a parallel genetic algorithm based design and research on power energy dispatch system for wind farms is proposed.The study analyzes the impact of wind farm grid connection on the power grid,and constructes a linear model of admission capacity to calculate the maximum admission capacity of wind farms.Taking economy and reliability as the objectives,it determines the objective function of power energy scheduling including wind farms,introduces parallel genetic algorithm optimization solution,and obtains the optimal solution.The experimental data shows that the maximum acceleration ratio of the system reaches 9.4,the voltage control is within a reasonable range,and the designed system has better power energy scheduling ability.

关 键 词：电力能源 风力发电场 电能优化调度 并行遗传算法 电力能源质量 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]