Development of PSO based control algorithms for maximizing wind energy penetration

Skariah

2014 International Conference on Advances in Green Energy (ICAGE)

et al. 2014

Self Cite

Distributed Generators are gaining widespread applications around the world to facilitate the need for expanding generation capacity to meet the increasing load demand. However the integration and high penetration of distributed generations into the power system poses many issues that need to be addressed carefully. The main limiting factors for synchronous operation of distributed generators are voltage and angle instability and grid control authorities are limiting the distributed generator penetration level for maintaining grid stability. This paper attempts to identify the maximum safe system loading, with the integration of distributed generators, by the optimization of grid parameters. In this paper, optimal placement & setting of distributed energy resources (DER) is formulated so as to maximize the system loadability using PSO. The impact of optimal integration using PSO algorithm has been analyzed by studying different system parameters like voltage profile, line flows and real power generation. The application of the scheme is illustrated on a standard IEEE 14-bus system and 220 kV Kerala Grid Practical test system using Newton Raphson power flow method and modal analysis. Results presents the maximum system loadability in percentage, optimal location and setting of distributed energy resources, maximum safe bus loading beyond which system becomes unstable.

Section: A System Descriptionmentioning

confidence: 99%

“…Hence in the case of IEEE 14 bus, bus no.s 5, 7, 9, 10, 11, 12, 13 and 14 are suitable for DG placement. For Kerala Grid System, the locations suitable for fuel cell placement considered are bus no.s 2, 6,7,10,13,14,16,17,19,23,24, and 25.…”

Section: A System Descriptionmentioning

confidence: 99%

PSO based controller algorithm for optimal allocation & setting of fuel cell in a wind — PV integrated power system for maximizing loadability

Skariah

2014 International Conference on Advances in Green Energy (ICAGE)

et al. 2014

Self Cite

“…A number of studies have been carried out to identify maximum allowable wind penetration level in an existing power grid [15][16][17][18][19][20][21]. H. Ahmedi et al [15] determined the maximum admissible wind energy penetration level based on evaluation of frequency security constraints and transient stability limits, whereas voltage stability-based analysis using system capacity calculations are utilized for evaluating maximum wind penetration level in [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…H. Ahmedi et al [15] determined the maximum admissible wind energy penetration level based on evaluation of frequency security constraints and transient stability limits, whereas voltage stability-based analysis using system capacity calculations are utilized for evaluating maximum wind penetration level in [16,17]. A Particle Swarm Optimization-based control algorithm is proposed in [18] for maximizing wind energy penetration level and [19] presents a method for effective wind farm sizing in a weak power grid using modal analysis. To assess maximum wind penetration level using available information of the corresponding power generation system, an integrated numerical algorithm is developed and presented in [20].…”

Section: Introductionmentioning

confidence: 99%

A New Tool to Assess Maximum Permissible Solar PV Penetration in a Power System

Rather

Pal

2021

Energies

With diminishing fossil fuel resources and increasing environmental concerns, large-scale deployment of Renewable Energy Sources (RES) has accelerated the transition towards clean energy systems, leading to significant RES generation share in power systems worldwide. Among different RES, solar PV is receiving major focus as it is most abundant in nature compared to others, complimented by falling prices of PV technology. However, variable, intermittent and non-synchronous nature of PV power generation technology introduces several technical challenges, ranging from short-term issues, such as low inertia, frequency stability, voltage stability and small signal stability, to long-term issues, such as unit commitment and scheduling issues. Therefore, such technical issues often limit the amount of non-synchronous instantaneous power that can be securely accommodated by a grid. In this backdrop, this research work proposes a tool to estimate maximum PV penetration level that a given power system can securely accommodate for a given unit commitment interval. The proposed tool will consider voltage and frequency while estimating maximum PV power penetration of a system. The tool will be useful to a system operator in assessing grid stability and security under a given generation mix, network topology and PV penetration level. Besides estimating maximum PV penetration, the proposed tool provides useful inputs to the system operator which will allow the operator to take necessary actions to handle high PV penetration in a secure and stable manner.

Journal of Renewable and Sustainable Energy

Development of a genetic algorithm for maximizing wind power integration rate into the electric grid

Ammous

Jebali

Halima

et al. 2019

In this paper, a new method was proposed with the objective of maximizing the rate of wind power integration into the electric grid. This method was based on the optimization of the parameters of the turbine governors (TGs) by means of a genetic algorithm. The tuning of TGs' parameters was formulated relying on an objective function aiming at reaching the maximum wind power penetration rate. The dynamic grid modeling consisted of synchronous machines, regulators, and wind turbines. The IEEE 14-bus modified test system was adopted to test the grid using the Power System Analysis Toolbox. The simulation results revealed that, with the optimized TGs' parameters, the rate of wind power integration improved considerably.