考虑网络约束的风电水电协同果蝇优化控制
发布时间：2018-08-27 06:28
【摘要】：风力发电严重受气候影响且随机波动性强使得风电的调度困难经常导致弃风。该文利用水电的调峰调频特性平抑风电输出功率的波动,使水电厂和风电场向电力系统提供的功率之和按照计划输出,将随机波动性强的风电的出力转化成可以参与电力系统运行计划的稳定出力,这种方式称之为风水协同运行策略。风电场和水电厂一般不在同一地点,因此,该文考虑了协同运行中的网络约束。为了提高协同运行的有效性,提出了采用果蝇算法优化水轮机的PID控制器参数。仿真结果表明,采用果蝇优化后的PID控制比常规PID控制方案具有更好的控制效果;采用果蝇算法优化后的水电可快速、稳定地跟踪风电的变化,使风电与水电出力之和基本保持在预定范围之内,减少对电网的冲击,有利于电网的长期稳定运行。仿真结果验证了该文方法的有效性。
[Abstract]:Wind power generation is seriously affected by climate and random volatility makes wind power scheduling difficult often lead to abandon wind. In this paper, the fluctuation of output power of wind power is stabilized by using the characteristic of peak shaving and frequency modulation of hydropower, so that the sum of the power supplied by hydropower plant and wind farm to the power system is output according to the plan. It is called the geomantic cooperative operation strategy that the wind power with strong random volatility can be transformed into the stable output force which can participate in the operation plan of the power system. Wind farms and hydropower plants are usually not in the same location, so the network constraints in cooperative operation are considered in this paper. In order to improve the effectiveness of cooperative operation, the Drosophila algorithm is proposed to optimize the parameters of PID controller of hydraulic turbine. The simulation results show that the optimized PID control scheme has better control effect than the conventional PID control scheme, and the hydropower optimized by the Drosophila algorithm can track the change of wind power quickly and stably. The sum of wind power and hydropower output is kept within a predetermined range, and the impact on power grid is reduced, which is beneficial to the long-term stable operation of power grid. Simulation results show the effectiveness of the proposed method.
【作者单位】： 北京信息科技大学;中国电力科学研究院;中国电子科技集团五十五所;
【基金】：国家自然科学基金项目(51377011)~~
【分类号】：TM73
，
本文编号：2206407
[Abstract]:Wind power generation is seriously affected by climate and random volatility makes wind power scheduling difficult often lead to abandon wind. In this paper, the fluctuation of output power of wind power is stabilized by using the characteristic of peak shaving and frequency modulation of hydropower, so that the sum of the power supplied by hydropower plant and wind farm to the power system is output according to the plan. It is called the geomantic cooperative operation strategy that the wind power with strong random volatility can be transformed into the stable output force which can participate in the operation plan of the power system. Wind farms and hydropower plants are usually not in the same location, so the network constraints in cooperative operation are considered in this paper. In order to improve the effectiveness of cooperative operation, the Drosophila algorithm is proposed to optimize the parameters of PID controller of hydraulic turbine. The simulation results show that the optimized PID control scheme has better control effect than the conventional PID control scheme, and the hydropower optimized by the Drosophila algorithm can track the change of wind power quickly and stably. The sum of wind power and hydropower output is kept within a predetermined range, and the impact on power grid is reduced, which is beneficial to the long-term stable operation of power grid. Simulation results show the effectiveness of the proposed method.
【作者单位】： 北京信息科技大学;中国电力科学研究院;中国电子科技集团五十五所;
【基金】：国家自然科学基金项目(51377011)~~
【分类号】：TM73
，
本文编号：2206407
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