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鄭允源(Yun-Won Jeong),朴宗培(Jong-Bae Park),曺基善(Ki-Seon Cho),金亨中(Hyeong-Jung Kim),愼重麟(Joong-Rin Shin) 대한전기학회 2007 전기학회논문지 Vol.56 No.6
This paper presents a new and efficient approach for solving the economic dispatch (ED) problems with nonconvex cost functions using particle swarm optimization (PSO). Although the PSO is easy to implement and has been empirically shown to perform well on many optimization problems, it may easily get trapped in a local optimum when solving problems with multiple local optima and heavily constrained. This paper proposes an improved PSO, which combines the conventional PSO with chaotic sequences (CPSO). The chaotic sequences combined with the linearly decreasing inertia weights in PSO are devised to improve the global searching capability and escaping from local minimum. To verify the feasibility of the proposed method, numerical studies have been performed for two different nonconvex ED test systems and its results are compared with those of previous works. The proposed CPSO algorithm outperforms other state-of-the-art algorithms in solving ED problems, which consider valve-point and multi-fuels with valve-point effects.
지연 허용 네트워크에서 노드 밀도 기반 향상된 메시지 전달 기법
김민정(Min Jeong Kim),정윤원(Yun Won Chung) 한국정보기술학회 2014 한국정보기술학회논문지 Vol.12 No.10
Delay tolerant network (DTN) is a network where messages are delivered using a store-carry-forward way in an environment that connectivity between a source node and a destination node is not guaranteed. In this paper, an improved message delivery scheme based on node density was proposed, where Epidemic and PRoPHET protocols are employed when the number of simultaneous neighboring contact nodes is less than or equal to the predefined number and larger than the predefined number, respectively. Performance results via simulation show that the proposed scheme has appropriate delivery probability and good delivery latency, although it has high traffic overhead than PRoPHET protocol, by selecting the advantages of Epidemic and PRoPHET protocols appropriately.
박종배(Jong-Bae Park),정윤원(Yun-Won Jeong),주행로(Haeng-Ro Joo),이명희(Myoung-Hee Yi),신점구(Jum-Gu Shin) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.7
This paper presents development of program for generator maintenance scheduling. The maintenance scheduling of generating units is a dynamic discrete combinatorial optimization problem with constraints to determine the optimal maintenance periods of each generating units for a given planning periods. The developed program is designed so as to provide the maintenance schedule satisfying the operating reserve margin levelization and the procurement of proper reliability. In order to verify the effectiveness of the developed program, the numerical study has been performed with the practical data in 2005.
이우남(Woo-Nam Lee),정윤원(Yun-Won Jeong),이주원(Joo-Won Lee),박종배(Jong-Bae Park),신중린(Joong-Rin Shin) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
This paper presents a development of an educational simulator of particle swarm optimization (PSO) and application for solving the test functions and economic dispatch (ED) problems with nonsmooth cost functions. A particle swarm optimization is one of the most powerful methods for solving global optimization problems. It is a population-based search algorithm and searches in parallel using a group of particles similar to other AI-based heuristic optimization techniques. In developed simulator, lecturers and students can select the functions for simulation and set the parameters that have an influence on PSO performance. To improve searching capability for ED problems, a crossover operation is proposed to the position update of each individual (CR-PSO). To verify the feasibility of CR-PSO method, numerical studies have been performed for two different sample systems. The proposed CR-PSO method outperforms other algorithms in solving ED problems.