Power System Design using Firefly Algorithm for Dynamic Stability Enhancement

J. Mechatron. Electr. Power Veh. Technol.

Imran

2017

Self Cite

Micro hydro has been chosen because it has advantages both economically, technically and as well as in terms of environmental friendliness. Micro hydro is suitable to be used in areas that difficult to be reached by the grid. Problems that often occur in the micro hydro system are not the constant rotation of the generator that caused by a change in load demand of the consumer. Thus causing frequency fluctuations in the system that can lead to damage both in the plant and in terms of consumer electrical appliances. The appropriate control technology should be taken to support the optimum performance of micro hydro. Therefore, this study will discuss a strategy of load frequency control by using Energy Storage. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are devices that can store energy in the form of a fast magnetic field in the superconducting coil. For the optimum performance, it is necessary to get the optimum tuning of SMES and CES parameters. The artificial intelligence methods, Cuckoo Search Algorithm (CSA) are used to obtain the optimum parameters in the micro hydro system. The simulation results show that the application of the CSA that use to tune the parameters of hybrid SMES-CES-PID can reduce overshoot oscillation of frequency response in micro hydro power plant.

Section: B Superconducting Magnetic Energy Storagementioning

confidence: 99%

“…Based on the three rules, the basic steps Cuckoo Search (CS) can be summarized as pseudo code below [20,21]. The mathematical representation to generate a new solution considering Levy flight can be described using equation (13) [20,21].…”

Section: Mr Djalal Et Al / Journal Of Mechatronics Electrical Powmentioning

confidence: 99%

Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm

Djalal¹,

J. Mechatron. Electr. Power Veh. Technol.

Imran

2017

Self Cite

“…If this oscillation is not well damped, the magnitude of this oscillation may keep growing until the system loses synchronism [2]. This oscillation can be decreased by putting damper windings in the rotor.…”

Section: Introductionmentioning

confidence: 99%

Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system

Lastomo

J. Mechatron. Electr. Power Veh. Technol.

Djalal

2017

Self Cite

Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or lowfrequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.

“…Hence, intelligent controller design based on a nature-inspired algorithm or metaheuristic algorithm can be the solution to handle the complexity of MIMO system. Metaheuristic algorithm can be classified into three group: biological inspiration, physical inspiration and social inspiration [3]. The example of social inspiration is tabu search algorithm and imperialist competitive algorithm [4].…”

Section: Introductionmentioning

confidence: 99%

Optimization pitch angle controller of rocket system using improved differential evolution algorithm

Lastomo

Int. J. Adv. Intell. Informatics

Djalal³

2017

Self Cite

Pitch angle of rocket system is the important parts of the rocket. This part corresponds to the movement of the rocket system. Rocket system is fell into multi-input and multi-output (MIMO) system. The most challenge factor in MIMO system is designing the controller, if the design is not appropriate, it may lead to the unstable condition. Hence, appropriate and robust control design is inevitable. This paper introduces PID controller as pitch angle control of rocket system. Furthermore, PID controller parameter is optimized using improved differential evolution algorithm (IDEA). To analyze the performance of rocket system, time domain simulation is implemented. From the simulation result, it is found by using PID controller based on IDEA, the performance of pitch angle of rocket system is enhanced.