Application of Multi-Objective PSO Algorithm for Power System Stability Enhancement by Means of SSSC

Ajami, Ali

doi:10.7763/ijcee.2010.v2.237

Cited by 18 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multi-objective intelligent optimization algorithm is an effective way to solve complex multi-objective problems. Many intelligent optimization algorithms, such as PSO, GSA and so on, are widely used in solving multi-objective optimization problems multi-objective particle swarm optimization (MOPSO) [18,19], nondominated sorting genetic algorithm-II (NSGA-II) [20], multiobjective differential evolution (MODE) [21,22], multi-objective gravitational search algorithm (MOGSA) [23,24] and multi-objective bee colony optimization algorithm (MOBCO) [25,26], have been proposed to solve the complex multiobjective optimization problems with practical modeling of coupling constraints efficiently. However, premature phenomenon and local convergence are still common obstacles to the performance of these stochastic searching algorithms.…”

Section: Of 26mentioning

confidence: 99%

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Zhou¹,

Xu²,

Zheng³

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract：The optimization of guide vane closing schemes (OGVCS) of pumped storage hydro unit (PSHU) is the research field of cooperative control and optimal operation of pumped storage, wind power and solar power generation. This paper presents a OGVCS model of PSHU considering the rise rate of the unit rotational speed and the specific node pressure of each hydraulic unit, as well as various complicated hydraulic and mechanical constraints. OGVCS model is formulated as a multi-objective optimization problem to optimize conflictive objectives, i.e., unit rotational speed and water hammer pressure criteria. In order to realize the efficient solution of the OGVCS model, an enhanced multi-objective bacterial-foraging chemotaxis gravitational search algorithm (EMOBCGSA) is proposed to solve this problem, which adopts population reconstruction, adaptive selection chemotaxis operator of local searching strategy and Elite archive set to efficiently solve the multi-objective problem. Especially, novel constraints-handling strategy with eliminating and local search based on violation ranking is used to balance various hydraulic and mechanical constraints. Finally, simulation cases of complex extreme operating conditions (i.e., load rejection and pump outage) of 'single tube-double units' type PSHU system are conducted to verify the feasibility and effectiveness of the proposed EMOBCGSA in solving OGVCS problem. The simulation results indicate that the proposed EMOBCGSA can provide lower rise rate of the unit rotational speed and smaller water hammer pressure than other method established recently while considering various complex constraints in OGVCS problem.Keyword: pumped storage hydro unit; guide vane closing schemes; multi-objective optimization; enhanced multi-objective bacterial-foraging chemotaxis gravitational search algorithm (EMOBCGSA); hydraulic and mechanical constraints

show abstract

Section: Of 26mentioning

confidence: 99%

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Zhou¹,

Xu²,

Zheng³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…It comprises gain block, signal-washout block and lead-lag compensators [5]. Based on singular value decomposition (SVD) analysis in [20,21] modulating has an excellent capability in damping low frequency oscillations in comparison to other inputs of SSSC and STATCOM, thus in this paper, is modulated in order to damping controller design.…”

Section: A Sssc and Statcom Based Proposed Controllers Structurementioning

confidence: 99%

COA Based SSSC and STATCOM Optimal Controllers Designing with The Aim of Better Damping of Oscillations: A Comparative Study

Mohammadzadeh¹,

Gholizadeh-Roshanagh²,

Ravadanegh³

et al. 2016

ijeei

View full text Add to dashboard Cite

In this paper, the designing problem of two flexible AC transmission systems (FACTS)-based stabilizers are formulated for a cuckoo optimization algorithm (COA) with an objective function that includes the damping factor and the damping ratio of oscillations. This new optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement. Also, its performance in 20 times run is the same as in 1 time run. Single machine infinite bus (SMIB) system has been considered to examine the operation of proposed COA based static synchronous series compensator (SSSC) and static synchronous compensator (STATCOM) controllers. Sudden change in the input power of generator is considered as a disturbance. The effectiveness of the proposed COA based SSSC and STATCOM controller for damping of low frequency oscillations is tested on a weakly connected power system with a disturbance and different loading conditions and their results are compared with each other. The eigenvalue analysis and time domain simulation results are presented to show the effectiveness of these FACTS-based stabilizers. The results obtained revealed the effectiveness of SSSC in comparison with STATCOM in damping power system oscillation and the results confirmed the effectiveness of the COA method for controller parameter optimization.

show abstract

“…Due to the complicated and multiobjective nature of the guide vane flow, the optimization process requires fast and intelligent solutions, such as the particle swarm optimization (PSO), gravitational search algorithm (GSA), and nondominated sorting genetic algorithm (NSGA) [21][22][23][24][25]. e NSGA proposed in [26] was one of the first evolutionary algorithms to obtain multiple Pareto-optimal solutions in one single simulation run.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Guide Vane Closure Schemes of High‐Head Pumped Storage Unit during Pump Outage Condition

Zhang

Zheng

et al. 2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

When the pumping operation of pumped storage unit suffers from power outage, the hydraulic transient poses a serious threat to the safe operation of the unit and its pressure pipeline system. For high-head pumped storage power station (PSPS), the water hammer pressure (WHP) and rotational speed rise ratio (RSRR) of each hydraulic unit will be increased during the pump outage condition. In order to limit the fluctuation of rotational speed and WHP in power-off condition, optimizing and choosing a reasonable guide vane closure scheme (GVCS) is an economic and efficient means to improve the dynamic characteristics of pumped storage unit. On the basis of the calculation model of the transition process of single tube-double unit type of a high-head PSPS, an optimization model of GVCS balancing WHP and RSRR objectives is established. Furthermore, the two-stage broken line and three-stage delayed GVCSs are applied to the pump outage condition, and the nondominated sorting genetic algorithm-II (NSGA-II) is introduced to calculate the optimal solution set under different water heads and different closure schemes. For four typical water heads, the multiobjective optimization results of the closure law show that the two-stage broken line law has a better Pareto front under high water head, while the three-stage delayed law has a better performance under low water head. Furthermore, through the results of transition process of typical schemes, the adaptability of GVCS and water head is analyzed. The method proposed in this paper can make the RSRR not more than −0.89, and the three-stage delayed law can even make the RSRR only −0.01. Methods of this paper provide a theoretical basis for optimum guide vane closure mode setting of PSPS.

show abstract

Application of Multi-Objective PSO Algorithm for Power System Stability Enhancement by Means of SSSC

Cited by 18 publications

References 17 publications

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

COA Based SSSC and STATCOM Optimal Controllers Designing with The Aim of Better Damping of Oscillations: A Comparative Study

Analysis on Guide Vane Closure Schemes of High‐Head Pumped Storage Unit during Pump Outage Condition

Contact Info

Product

Resources

About