Optimization Design Based On Self-Adapted Ant Colony and Genetic Mix Algorithm for Parameters of PID Controller

Wang Xiao-Yu 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.7

This paper presents a method of optimized PID parameter self-adapted ant colony algorithm with aberrance gene, based on ant colony algorithm. This method overcomes genetic algorithm’s defects of repeated iteration, slower solving efficiency, ordinary ant colony algorithm’s defects of slow convergence speed, easy to get stagnate, and low ability of full search. For a given system, the results of simulation experiments which compare to the result of Z-N optimization and evolution of genetic algorithm optimization and evolution of ant colony system optimization, it has more excellent performance in finding best solution and convergence, the PID parameters also have optimality, system possesses dynamic controlling and performance. The experiments show that this method has its practical value on controlling other objection and process.

TLBO-CS 알골리즘을 이용한 독립형 하이브리드 에너지시스템의 최적설계에 관한 연구

조재훈(Jae-Hoon Cho),홍원표(Won-Pyo Hong) 한국조명·전기설비학회 2018 조명·전기설비학회논문지 Vol.32 No.5

In this paper, a new design optimal economical sizing of a Hybrid PV/WT/Diesel/Battery energy system is presented in order to assist the designers to take into consideration both the economical and ecological aspects. The reliability and cost of a hybrid system are two main criteria for designing a stand-alone hybrid system. The aim of this design is minimization of total annual cost(TAC) considered loss power supply probability and annual fuel cost of diesel generation system. A hybrid Teaching-Learning-Based Optimization algorithm is used for choosing the optimal number and type of units and the Total Annual Cost and Loss of Power Supply Probability are taken as the multi-objective functions of the proposed optimization algorithm. The effectiveness of the proposed method is verified using Matlab software and the simulation results confirm that the proposed method is more efficient than conventional methods and a feasible solution for stand-alone applications at the remote location.

Comparative Study for Optimal Sizing of a Hybrid PV/Wind/Diesel/Battery Storage System by Metaheuristic Optimization Methods

조재훈,홍원표 한국조명.전기설비학회 2016 조명·전기설비학회논문지 Vol.30 No.4

In a hybrid energy system, different energy sources (photovoltaic (PV), wind, diesel, etc.) as well as energy storage devices are connected together to supply the electrical load. Since the produced power of PV and wind turbine (WT) is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, the main attribute of such hybrid systems is the ability of satisfying the load at any time and storing the excess energy for the later use in deficit conditions. This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Total annual cost and Loss of Power Supply Probability (LPSP) using a GA and PSO based optimization algorithm respectively. The effectiveness of the proposed method was verified by Matlab software.In this paper, first the mathematical model of various parts of hybrid system is presented. Then, the proposed algorithm is used. Finally, simulation results (number of PV panels, number of wind turbines, number of battery storages, system total cost,power diagram of hybrid power system components) for solar-wind -diesel systems is presented.The simulation results of the proposed approach show that the use of PSO can be more efficient than GA in the size optimization of hybrid energy system.

Comparative Study for Optimal Sizing of a Hybrid PV/Wind/Diesel/Battery Storage System by Metaheuristic Optimization Methods

Jae-Hoon Cho,Won-Pyo Hong 한국조명·전기설비학회 2016 조명·전기설비학회논문지 Vol.30 No.4

In a hybrid energy system, different energy sources (photovoltaic (PV), wind, diesel, etc.) as well as energy storage devices are connected together to supply the electrical load. Since the produced power of PV and wind turbine (WT) is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, the main attribute of such hybrid systems is the ability of satisfying the load at any time and storing the excess energy for the later use in deficit conditions. This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Total annual cost and Loss of Power Supply Probability (LPSP) using a GA and PSO based optimization algorithm respectively. The effectiveness of the proposed method was verified by Matlab software.In this paper, first the mathematical model of various parts of hybrid system is presented. Then, the proposed algorithm is used. Finally, simulation results (number of PV panels, number of wind turbines, number of battery storages, system total cost,power diagram of hybrid power system components) for solar-wind -diesel systems is presented.The simulation results of the proposed approach show that the use of PSO can be more efficient than GA in the size optimization of hybrid energy system.

Comparative Study for Optimal Sizing of a Hybrid PV/Wind/Diesel/Battery Storage System by Metaheuristic Optimization Methods

Cho, Jae-Hoon,Hong, Won-Pyo The Korean Institute of IIIuminating and Electrica 2016 조명·전기설비학회논문지 Vol.30 No.4

In a hybrid energy system, different energy sources (photovoltaic (PV), wind, diesel, etc.) as well as energy storage devices are connected together to supply the electrical load. Since the produced power of PV and wind turbine (WT) is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, the main attribute of such hybrid systems is the ability of satisfying the load at any time and storing the excess energy for the later use in deficit conditions. This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Total annual cost and Loss of Power Supply Probability (LPSP) using a GA and PSO based optimization algorithm respectively. The effectiveness of the proposed method was verified by Matlab software.In this paper, first the mathematical model of various parts of hybrid system is presented. Then, the proposed algorithm is used. Finally, simulation results (number of PV panels, number of wind turbines, number of battery storages, system total cost,power diagram of hybrid power system components) for solar-wind -diesel systems is presented.The simulation results of the proposed approach show that the use of PSO can be more efficient than GA in the size optimization of hybrid energy system.

전력 시스템의 동요 억제를 위한 TCSC용 안정화 장치 설계

정형환,허동렬,왕용필,박희철,이동철 한국조명전기설비학회 2002 조명·전기설비학회논문지 Vol.16 No.2

본 논문에서는 FACTS 기기의 일종인 전력조류 극대화 및 제어 기능과 함께 외란에 의한 과도시의 전력계통 안정화 기능을 수행할 수 있는 TCSC용 전력시스템 안정화 장치 설계에 대하여 연구하였다. TCSC용 전력시스템 안정화 장치 설계시 파라미터 선정은 복잡한 수식이 필요 없고 계산시간을 감소시키며 적은 반복횟수로도 최적해를 찾을 수 있는 자연 생태계의 진화를 모의한 유전 알고리즘을 이용하였다. 전력 시스템의 저주파 진동에 강인성을 갖는 TCSC는 TCR(Thyristor Controlled Reactor)과 커패시터의 병렬구조에 의해 용량성과 유도성에 걸친 범위가지 연속적으로 제어할 수 있는 구조로 이루어져 있다. 이러한 제안된 방법의 강인성을 검증하기 위해 여러 가지 운전조건에 대해 전력계통 안정도 및 고유치를 해석하여 기존의 안정화 장치를 적용한 경우와 비교함 으로써 유용성을 입증하였다. In this paper, it is suggested that the selection method of parameter of Power System Stabilizer(PSS) with robustness in low frequency oscillation for Thyristor Controlled Series Capacitor(TCSC) using Geletic Algorithm(GA). A TCSC meddle consists of a stories capacitor and a parallel path with a thyristor valve and a series inductor. Also in in parallel, as is typical with series capacitor applications, is a metal-oxide varistor(MOV) for overvoltage protection. The proposed PSS parameters are optimized using GA in order to maintain optimal operation of TCSC which is expected to be applied in transmission system to achieve a number of benefits under the various operating conditions. In order to verify the robustness of the proposed method, we considered the dynamic response of angular velocity deviation and terminal voltage deviation under a power fluctuation and rotor angle variation.