Application of Particle Swarm Optimization to a Scheduling Strategy for Microgrids Coupled with Natural Gas Networks

Energies

Yang Gao¹  Muhammad Yousif¹  WaqasAhmad Wattoo¹  Ran Hao¹  Ziqing Jiang¹  Qian Ai¹ 

[1]Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China

关键词: natural gas and electricity integrated energy system;    power scheduling strategy;    distribution networks;    PSO;    renewable energy sources;    optimal power dispatch;   

DOI  :  10.3390/en11123499

来源: DOAJ

【 摘 要 】

This article focuses on the minimization of operational cost and optimal power dispatch associated with microgrids coupled with natural gas networks using particle swarm optimization (PSO). Introducing a natural gas turbine in a microgrid to overcome the drawbacks of renewable energy resources is a recent trend. This results in increased load and congestion in the gas network. To avoid congestion and balance the load, it is necessary to coordinate with the electric grid to plan optimal dispatch of both interactive networks. A modification is done in applying PSO to solve this coupled network problem. To study the proposed approach, a 7-node natural gas system coupled with the IEEE bus 33 test system is used. The proposed strategy provides the optimal power dispatch. Moreover, it indicates that power sharing between the main grid and microgrid is reduced in such a way that it may help the main grid to shave the load curve peaks.

【 授权许可】

Unknown