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Probabilistic Optimal Power Flow of an ac/dc system with a Multiport Current Flow Controller

CSEE Journal of Power and Energy systems 2021年第4期7卷 744-752页

作者： Jing Bian He Wang Limeng Wang Guoqing Li Zhenhao Wang Department of Electrical Engineering Northeast Electric Power UniversityJilin 132000China

To evaluate the impact of the randomness and correlation of photovoltaic(PV)and load on ac/dc systems with a multiport current flow controller(M-CFC),this paper proposes a probabilistic optimal power flow calculation for ac/dc systems,based on a nonparametric kernel density ***,according to the M-CFC model,the dc power flow calculation method with M-CFC was inferred,and its influence on line loss was ***,a nonparametric kernel density estimation with an adaptive bandwidth is used to accurately describe the probability distribution of the PV and load,and correlation samples of the PV and load are obtained by the mixed copula *** an optimization model that considers system loss and static security is established,and a fast nondominated sorting genetic algorithm based on the elite strategy(NSGA-II)is used to calculate the multi-objective probability optimal power flow of the ac/dc ***,a case study is performed on a modified IEEE39 bus system using measured PV and load *** verified that the nonparametric kernel density estimation with an adaptive bandwidth can better adapt to random component uncertainty,and M-CFC can improve the static security of the system.

关键词： ac/dc system correlation multiport current controller probabilistic optimal power flow PV

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Graph Computing Based Distributed Parallel Power Flow for ac/dc systems with Improved Initial Estimate

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Journal of Modern Power systems and Clean Energy 2021年第2期9卷 253-263页

作者： Wei Feng Chen Yuan Qingxin Shi Renchang Dai Guangyi Liu Zhiwei Wang Fangxing Li the University of Tennessee 1525 Coleman Road KnoxvilleTennessee 37909USA Global Energy Interconnection Research Institute North America San JoseCalifornia 95134USA

The sequential method is easy to integrate with existing large-scale alternating current(ac)power flow solvers and is therefore a common approach for solving the power flow of ac/direct current(dc)hybrid *** this paper,a highperformance graph computing based distributed parallel implementation of the sequential method with an improved initial estimate approach for hybrid ac/dc systems is *** proposed approach is capable of speeding up the entire computation process without compromising the accuracy of ***,the ac/dc network is intuitively represented by a graph and stored in a graph database(GDB)to expedite data *** the interconnection of ac grids via high-voltage direct current(HVdc)links,the network is subsequently partitioned into independent areas which are naturally fit for distributed power flow *** each area,the fast-decoupled power flow(FDPF)is employed with node-based parallel computing(NPC)and hierarchical parallel computing(HPC)to quickly identify system ***,to reduce the alternate iterations in the sequential method,a new decoupled approach is utilized to achieve a good initial estimate for the Newton-Raphson *** the improved initial estimate,the sequential method can converge in fewer ***,the proposed approach allows for significant reduction in computing time and is able to meet the requirement of the real-time analysis platform for power *** performance is verified on standard IEEE 300-bus system,extended large-scale systems,and a practical 11119-bus system in China.

关键词： ac/dc system distributed parallel computing graph computing initial estimate power flow analysis

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