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

Muhammad Yousif, Qian Ai, Yang Gao, Waqas Ahmad Wattoo, Ziqing Jiang and Ran Hao
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Muhammad Yousif: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Qian Ai: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Yang Gao: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Waqas Ahmad Wattoo: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Ziqing Jiang: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Ran Hao: Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China

Energies, 2018, vol. 11, issue 12, 1-16

Abstract: 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.

Keywords: natural gas and electricity integrated energy system; power scheduling strategy; distribution networks; PSO; renewable energy sources; optimal power dispatch (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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