针对风电并网时的随机波动功率、负荷频率控制(load frequency control, LFC)系统参数变化所引起的电力系统频率稳定问题,提出了一种基于智能优化算法与改进目标函数的互联电网LFC系统最优PID控制器设计方法。首先,分析了基于PID控制的...针对风电并网时的随机波动功率、负荷频率控制(load frequency control, LFC)系统参数变化所引起的电力系统频率稳定问题,提出了一种基于智能优化算法与改进目标函数的互联电网LFC系统最优PID控制器设计方法。首先,分析了基于PID控制的含风电互联电力系统LFC闭环模型。其次,在时间乘误差绝对值积分(integral of time multiplied absolute error, ITAE)性能指标的目标函数中考虑了区域控制器的输出信号偏差,对优化目标函数进行改进。采用性能优良的多元宇宙优化(multi-verse optimizer, MVO)算法先计算后验证的思路,寻优获得最优PID控制器参数。最后,以两区域4机组互联电力LFC系统为例,仿真验证了基于MVO算法结合改进目标函数所获得的PID控制器,比基于MVO算法所获得的PID控制器,对阶跃负荷扰动、随机负荷扰动、风电功率偏差扰动以及系统的参数变化,具有相对较好的鲁棒性能。并且,对控制器参数也具有相对较好的非脆弱性指标。展开更多
短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规...短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.展开更多
文摘针对风电并网时的随机波动功率、负荷频率控制(load frequency control, LFC)系统参数变化所引起的电力系统频率稳定问题,提出了一种基于智能优化算法与改进目标函数的互联电网LFC系统最优PID控制器设计方法。首先,分析了基于PID控制的含风电互联电力系统LFC闭环模型。其次,在时间乘误差绝对值积分(integral of time multiplied absolute error, ITAE)性能指标的目标函数中考虑了区域控制器的输出信号偏差,对优化目标函数进行改进。采用性能优良的多元宇宙优化(multi-verse optimizer, MVO)算法先计算后验证的思路,寻优获得最优PID控制器参数。最后,以两区域4机组互联电力LFC系统为例,仿真验证了基于MVO算法结合改进目标函数所获得的PID控制器,比基于MVO算法所获得的PID控制器,对阶跃负荷扰动、随机负荷扰动、风电功率偏差扰动以及系统的参数变化,具有相对较好的鲁棒性能。并且,对控制器参数也具有相对较好的非脆弱性指标。
文摘短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.
