Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this ...Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this paper constructs a bio-inspired computer model.It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load.First,the principle of wind power obstruction with the involvement of a high-energy load is examined in this work.In this step,highenergy load model with different regulation characteristics is established.Then,considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed,a multi-time scale model of coordination optimization is built.An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs,as well as to find the most optimal energy configurationwithin the system.Lastly,we take an example of regional power grid in Gansu Province for simulation analysis.Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost.展开更多
大型光伏电站经常面临严重的电压波动问题。传统的集中式控制方案采用中央控制器进行无功优化,以确保系统稳定运行。然而,这种方案存在计算负担过重、容易发生单点故障和网络安全问题的弊端。为了解决这些问题,分布式优化方法被提出并...大型光伏电站经常面临严重的电压波动问题。传统的集中式控制方案采用中央控制器进行无功优化,以确保系统稳定运行。然而,这种方案存在计算负担过重、容易发生单点故障和网络安全问题的弊端。为了解决这些问题,分布式优化方法被提出并应用于大型光伏电站。该方法将电站划分为多个子系统,并使用局部控制器分别解决每个子系统的优化问题。相邻子系统之间的信息交流较少,系统信息更加安全,同时也能处理规模更大的光伏电站。基于交替方向乘子法(alternating direction method of multipliers,ADMM),提出一种适用于大型光伏电站的分布式无功优化方案解决电站电压越限问题,并通过案例验证其有效性。此外,通过分析支路潮流模型约束的线性化处理对潮流求解的影响和罚函数系数对ADMM性能的影响,进一步提升优化参数,优化大型光伏电站的运行结果。展开更多
基金supported by the Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.22IRTSTHN016)the Hubei Natural Science Foundation(No.2021CFB156)the Japan Society for the Promotion of Science(JSPS)Grants-in-Aid for Scientific Research(KAKENHI)(No.JP21K17737).
文摘Bio-inspired computer modelling brings solutions fromthe living phenomena or biological systems to engineering domains.To overcome the obstruction problem of large-scale wind power consumption in Northwest China,this paper constructs a bio-inspired computer model.It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load.First,the principle of wind power obstruction with the involvement of a high-energy load is examined in this work.In this step,highenergy load model with different regulation characteristics is established.Then,considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed,a multi-time scale model of coordination optimization is built.An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs,as well as to find the most optimal energy configurationwithin the system.Lastly,we take an example of regional power grid in Gansu Province for simulation analysis.Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost.
文摘大型光伏电站经常面临严重的电压波动问题。传统的集中式控制方案采用中央控制器进行无功优化,以确保系统稳定运行。然而,这种方案存在计算负担过重、容易发生单点故障和网络安全问题的弊端。为了解决这些问题,分布式优化方法被提出并应用于大型光伏电站。该方法将电站划分为多个子系统,并使用局部控制器分别解决每个子系统的优化问题。相邻子系统之间的信息交流较少,系统信息更加安全,同时也能处理规模更大的光伏电站。基于交替方向乘子法(alternating direction method of multipliers,ADMM),提出一种适用于大型光伏电站的分布式无功优化方案解决电站电压越限问题,并通过案例验证其有效性。此外,通过分析支路潮流模型约束的线性化处理对潮流求解的影响和罚函数系数对ADMM性能的影响,进一步提升优化参数,优化大型光伏电站的运行结果。
