Improved PSO Algorithm based Optimal Operation in Power Systems Integrating Solar and Wind Energy Sources

Author(s):  
Duy C. Huynh ◽  
Loc D. Ho
Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5482
Author(s):  
Shabir Ahmad ◽  
Israr Ullah ◽  
Faisal Jamil ◽  
DoHyeun Kim

Renewable energy sources are environmentally friendly and cost-efficient. However, the problem with these renewable resources is their heavy reliance on weather conditions. Thus, at times, these solutions are not guaranteed to meet the required demand all the time. For this, hybrid microgrids are introduced, which have a combination of both renewable energy sources and non-renewable energy resources. In this paper, a cost-efficient optimization algorithm is proposed that minimizes the use of non-renewable energy sources. It maximizes the use of renewable energy resources by meeting the demand for utility grids. Real data based on the load and demand of the utility grids in Italy is used, and a system that determines the optimal sizing of the microgrid and a daily plan is introduced to optimize the renewable resources operations. As part of the proposal, the objective function for the operation and planning of the microgrid in such a way to minimize cost is formulated. Moreover, a variant of the PSO algorithm named recurrent PSO is implemented. The recurrent PSO algorithm solves the proposed optimization objective function by minimizing the cost for the installation and working of the microgrid. Afterwards, the energy management system algorithm lays out a plan for the daily operation of the microgrid. The performance of the system is evaluated using different state-of-the-art optimization methods. The proposed work can help minimize the use of diesel generators, which not only saves financial resources but also contributes toward a green environment.


Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 970
Author(s):  
Zhao ◽  
Jiang ◽  
Liu

With the extensive development and use of new energy sources, it has become an urgent issue to solve the problem how to effectively use such energy sources. This paper designs a single-phase electric energy router (SPEER) whose main goal is to solve the problem of optimal operation of the home power system under a high penetration rate of new energy. First, a SPEER structure is presented which has an AC-DC hybrid form to meet the power requirements of all household electrical equipment. Compared with the existing structures, its structural design is more suitable for small-capacity systems, such as home power systems. Next, a reasonable, detailed, and feasible control scheme was designed for each part of the SPEER, so that it has the functions of plug and play, power routing, island detection, and synchronous grid connection, and a seamless coordination management scheme between subsystems was designed. Complete functions make it more intelligent in response to various conditions. Finally, the correctness of the designed SPEER and control strategy was verified by experiment.


2010 ◽  
Vol 40-41 ◽  
pp. 298-303
Author(s):  
Wen Zhi Dai ◽  
Hong Chao Yin

In order to meet varied requirements of gas and electricity in petrochemical enterprises, as well as reducing the operation cost and minimizing energy use, optimal operation of steam power systems is a must. Based on previous work, this research proposes a mixed integral non-linear planning model (MILNP), which accounts for expenses of operation, maintenance, depreciation, and changeover cost in between startup and shutdown stage. The model is validated against operative data. The results show optimal control strategy can be quickly obtained with improved PSO algorithm, accompanied with considerable cost saving.


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