Calculation of maximum permitted capacity of photovoltaic based on flower pollination algorithm combined with genetic algorithm (GA-FPA) in distribution network

2018 International Conference on New Energy and Future Energy System

Wang, C.^1 ; Sun, H.X.^2 ; Yang, J.S.^2 ; Zhang, H.^2 ; Zong, Y.^2 ; Liang, H.P.^1

School of Electrical and Electronic Engineering, North China Electric Power University, Baoding

071003, China^1

Cangzhou Power Supply Company of State Grid Corporation of China, Cangzhou

061001, China^2

关键词: Adverse effect;    Convergence speed;    Distributed pv;    Feeder currents;    Flower pollination algorithms;    Mathematical optimization model;    Optimization algorithms;    Safe operation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/188/1/012081/pdf
DOI  :  10.1088/1755-1315/188/1/012081

来源: IOP

【 摘 要 】

The interconnection of distributed photovoltaic (PV) power in the distribution network will bring plenty of adverse effects. It is critical of researching on maximum permitted capacity (MPC) of distribution network to maintain the safe operation of distribution network. A mathematical optimization model was constructed for the MPC of distributed PV with the objective of maximizing the difference between the sum of distributed PV introduction and the network loss, and the constraints of system power flow, node voltage, feeder current, and short-circuit current. At the same time, an improved Flower Pollination Algorithm (FPA) that is Flower Pollination Algorithm combined with Genetic Algorithm (GA-FPA) was proposed to analyse IEEE 33-bus system. Further, by comparing with other optimization algorithms in terms of convergence speed and convergence accuracy, like original FPA and Genetic Algorithm (GA), the correctness of the model and the effectiveness of the algorithm are verified.