Compromise Between Cost and Reliability In Optimum Design of An Autonomous Hybrid Power System Using Mixed-Integer PSO Algorithm

2020 ◽

Vol 39 (6) ◽

pp. 8273-8283

Author(s):

N. Kirn Kumar ◽

V. Indra Gandhi

Keyword(s):

Fuzzy Logic ◽

Power System ◽

Fuzzy Logic Controller ◽

Frequency Control ◽

Pso Algorithm ◽

Green Energy ◽

Load Frequency Control ◽

Control Technique ◽

Hybrid Power System ◽

Hybrid Power

As the world is moving towards green energy generation to reduce the pollution by renewable sources such as wind, solar, geothermal and more. These sources are intermittent in nature, to coordinate and control with traditional power generating units a control technique is necessary. This paper mainly focuses on the design of fuzzy based classical controller using a PSO algorithm for optimal controller gains to control the frequency variations in island hybrid power system. The considered mathematical model comprises of a diesel generating model, wind turbine generator and a battery storage system. Fuzzy is an intelligent controller which is designed with trial and error rules or on the basis of past experience provided by experts or by optimization methods for optimized gains using computational algorithms. To give best solution for these kinds of problems with FLCs traditional controllers are integrated with fuzzy logic. The PSO algorithm is applied to tune the classical controller gains to decrease the frequency deviation of the island power system, during the different load and wind disturbances. The Fuzzy PID classical controller shows the best performance compared with the only fuzzy and Fuzzy-PI controller configurations by illustrating the under shoot, overshoot and settling time and the proposed method is robust for various loading conditions and different wind changes.

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An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System

Energies ◽

10.3390/en12050833 ◽

2019 ◽

Vol 12 (5) ◽

pp. 833 ◽

Cited By ~ 43

Author(s):

Bo Fu ◽

Chenxi Ouyang ◽

Chaoshun Li ◽

Jinwen Wang ◽

Eid Gul

Keyword(s):

Linear Programming ◽

Power System ◽

Wind Power ◽

Integer Linear Programming ◽

Mixed Integer Linear Programming ◽

Unit Commitment ◽

Mixed Integer ◽

Programming Approach ◽

Hybrid Power System ◽

Hybrid Power

In this paper, the mixed integer linear programming (MILP) for solving unit commitment (UC) problems in a hybrid power system containing thermal, hydro, and wind power have been studied. To promote its efficiency, an improved MILP approach has been proposed, while the symmetric problem in MILP formulas has been solved by reforming hierarchical constraints. Experiments on different scales have been conducted to demonstrate the effectiveness of the proposed approach. The results indicate a dramatic efficiency promotion compared to other popular MILP approaches in large scale power systems. Additionally, the proposed approach has been applied in UC problems of the hybrid power system. Two indexes, fluctuation degree and output degree, have been proposed to investigate the performance of renewable energy sources (RES). Several experiments are also implemented and the results show that the integration of pumped hydroelectric energy storage (PHES) can decrease the output of thermal units, as well as balance wind power fluctuation according to the load demand.

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Optimum Design of a Stand-alone Hybrid Power System with Demand-side Management

Procedia Manufacturing ◽

10.1016/j.promfg.2016.12.093 ◽

2017 ◽

Vol 7 ◽

pp. 622-629

Author(s):

Mathias Bennet Michael ◽

Amevi Acakpovi

Keyword(s):

Power System ◽

Optimum Design ◽

Demand Side Management ◽

Demand Side ◽

Hybrid Power System ◽

Hybrid Power

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Equivalent Firm Capacity Assessment of HDR-PV Hybrid Power System: A Distributionally Robust Approach

Frontiers in Energy Research ◽

10.3389/fenrg.2021.791818 ◽

2021 ◽

Vol 9 ◽

Author(s):

Yang Si ◽

Linrui Ma ◽

Laijun Chen ◽

Hengrui Ma ◽

Shengwei Mei

Keyword(s):

Power System ◽

Energy System ◽

Assessment Method ◽

Parameter Analysis ◽

Mixed Integer ◽

Capacity Assessment ◽

Hybrid Power System ◽

Hybrid Power ◽

Fluctuation Rate ◽

Distributionally Robust

Aiming at the reliable grid connection of photovoltaic (PV) systems in frigid plateau regions, this work first designs a flexible hot dry rock (HDR) hybrid power system (HPS), making full use of the potential of HDR for energy storage and power generation. Based on the operation of HPS, a comprehensive energy system credible capacity assessment method considering the overall economy of the system and the reliability of the grid is established. In this method, the power allowable fluctuation rate of the grid as the equivalent firm capacity (EFC) constraint is considered. Then, the constraint is converted into a set of linear chance conditions through the distributionally robust method so that the capacity assessment of the HDR-PV HPS can be converted into a mixed-integer linear optimization problem for a solution. The proposed assessment method is verified by real HDR-PV HPS in the Gonghe Basin of Qinghai Province. The results show that the flexible HDR plant increases the credible capacity of the HPS by 113.38%. The profit of the flexible HDR plant was increased by 3.02% at the same time. The parameter analysis shows that the HDR-PV HPS obtains the most profit when the allowable fluctuation rate is 7%, but 10% can fully utilize the geothermal. The assessment method can effectively assess the credible capacity of the system under the premise of ensuring the overall economy of the HPS, thereby guiding power grid dispatching.

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