• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.54 no.2
• /
• pp.61-66
• /
• 2005

This paper presents an unified method which solves real and reactive power dispatch problems for the economic operation of power systems using evolutionary computation such as genetic algorithms(GA), evolutionary programming(EP), and evolution strategy(ES). Many conventional methods to this problem have been proposed in the past, but most of these approaches have the common defect of being caught to a local minimum solution. The proposed methods, applied to the IEEE 30-bus system, were run for 10 other exogenous parameters and composed of P-optimization module and Q-optimization module. Each simulation result, by which evolutionary computations are compared and analyzed, shows the possibility of applications of evolutionary computation to large scale power systems.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.822-823
• /
• 2007

It is easily can be expected that Korea cannot be free under the regulation, because Korea is one of the major $CO_2$ emitter in the world. Even though Korea currently doesn't have any obligation to mitigate the carbon emission, power industry needs to study the effect of that. this paper aims to analyze the change of economic loading order for generation dispatch by various carbon price, looking at each plant's or generator's variable generation cost per unit electricity(kWh) that consists of basic generation price calculated by automatic generation system planning model, WASP 4.0, and $CO_2$ price per unit electricity generation.

• Journal of information and communication convergence engineering
• /
• v.1 no.2
• /
• pp.93-97
• /
• 2003

This paper proposes a new generation scheduling algorithm which can consider total quantity of contamination and energy limits based on Lagrangian Relaxation. First, we formulate a Lagrangian function which consider quantity of contamination including substitution of fuel, and quantity of fuel. Second, we developed Multi-state S.U.D.P. which can treat multiple fuels. Third, we propose an effective generation scheduling algorithm including Multi-state S.U.D.P.. As a results, unit commitment and generating power can be obtained to meet the environmental and fuel constraints with fuel substitution. By applying it to the test system, effectiveness of the method is verified.

• Proceedings of the KIEE Conference
• /
• 1998.11a
• /
• pp.204-207
• /
• 1998

This paper presents a software development technique for EMS applications. The definite client-server configuration is proposed and EMS software package is developed. The developed EMS software package consists of AGC(Automatic Generation Control). Economic Dispatch. State Estimator. Contingency Analysis Simulator and Database Applications. In order to integrate each of the developed modules, EMS Network Server is developed. The proposed package is tested with a sample system. It is expected that the developed package can be easily applicable to the practical system.

• Proceedings of the KIEE Conference
• /
• 2004.11b
• /
• pp.201-203
• /
• 2004

본 논문에서는 먼저 유효전력 시장과 무효전력 시장을 분리하여 운영한다는 가정하에서 발전기의 무효전력 생산을 위한 최적의 전압값을 산정하고자 한다. 유효전력 시장에서 경제 급전(Economic Dispatch)을 통해 발전기의 유효전력 생산 비용을 최소화시키는 최적의 유효전력량 결정원리를 응용하여, 무효전력 시장에서의 발전기의 무효전력 생산 비용을 최소화시키는 최적의 발전기 전압 profile을 결정하는 무효전력시장 구축 알고리즘을 제시한다. 이 알고리즘에는 기본적으로 주효전력-전압의 조류방정식과 목적함수로서 무효진력 비용의 최소화 문제, 그리고 부하측 전압과 관련된 부등식제약조건의 선형화 문제 등이 포함된다. 이렇게 산출된 발전전압에 의한 무효전력의 가격은 실제 전압제어에 의한 가격산정이라는 측면에서 그 의미를 찾아볼 수가 있다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.1
• /
• pp.40-45
• /
• 2014

This paper suggests the optimal generation dispatch algorithm for ensuring voltage stability margin considering high wind energy injection. Generally, with wind generation being installed into the power system, we would have to consider several factors such as the voltage stability margin because wind turbine generators are mostly induction machines. If the proportion of wind generation increases in the power system increases this would affect the overall stability of the system including the voltage stability. This paper considers a specific system that is composed of two areas: area 1 and area 2. It is assumed that generation cost in area 1 is relatively higher than that in area 2. From an economic point of view generation in area 1 should be decreased, however, in the stability point of view the generation in area 2 should be decreased. Since the power system is a nonlinear system, it is very difficult to find the optimal solution and the genetic algorithm is adopted to solve the objective function that is composed of a cost function and a function concerned with voltage stability constraints. For the simulations, the New England system was selected. The algorithm is implemented and Python 2.5.

• Proceedings of the KIEE Conference
• /
• 2007.11b
• /
• pp.9-11
• /
• 2007

우리나라는 정부의 전력시장 구조개편 계획에 의거 2001년부터 전력시장을 도입하도록 하는 결정에 따라 초기단계 전력시장을 운영하기 위한 "발전경쟁 (CBP Cost Based Pool)시스템"을 국내기술로 개발하여 현재까지 운영중에 있다. 또한 단계적인 시장도입 정책에 따라 2004년 4일부터 운영할 예정이었던 전력시장운영시스템(MOS : Market Operating System)은 정부의 도매전력시장 개설중단이란 정책변경으로 우수한 성능과 기능을 보유하고 있음에도 불구하고 활용이 불투명하기 도 하였으나, 2007년 세계최초로 발전경쟁시장시스템에 접목하여 MOS 상업운전을 개시하여 경제급전 효과를 극대화 할 수 있게 되었다. 경제급전 및 계통안정운영을 위한 MOS 시스템의 기능중 하나인 급전지시시스템(MX : Massage Exchange)은 미국 ABB사에서 개발하였던 초기의 기능은 매우 초보적인 단계로 단순히 5분 에너지 급전지시값만 전달하는 것으로서 국내 급전운영체계의 반영이 미흡하였다. 이에 따라, 2005년 국내기술로 초기 시스템을 개발한 이후 2007년에는 에너지 급전지시값 외에 보조서비스 데이터 제공 등의 성능 개선을 통해 중앙급전소 급전원, 현장 발전운전원 등에게 정확하고 신속한 계통운영관련 DATA를 실시간으로 제공하여, 계통운전에 활용함으로서 전력계통의 안정운영과 효율적인 시장운영에 많은 도움을 주고 있다. 본 논문에서는 이와 같이 완벽한 계통운전의 실현과 효율적 시장운영에 중요한 요소로서 역할을 수행하고 있는 급전지시 시스템의 개요와 주요 내용에 대해 살펴보도록 하겠다.

• Journal of Electrical Engineering and Technology
• /
• v.2 no.4
• /
• pp.413-419
• /
• 2007

The optimal power flow (OPF) problem was introduced by Carpentier in 1962 as a network constrained economic dispatch problem. Since then, it has been intensively studied and widely used in power system operation and planning. In the past few decades, many stochastic optimization methods such as Genetic Algorithm (GA), Evolutionary Programming (EP), and Particle Swarm Optimization (PSO) have been applied to solve the OPF problem. In particular, PSO is a newly proposed population based stochastic optimization algorithm. The main idea behind it is based on the food-searching behavior of birds and fish. Compared with other stochastic optimization methods, PSO has comparable or even superior search performance for some hard optimization problems in real power systems. Nowadays, some modifications such as breeding and selection operators are considered to make the PSO superior and robust. In this paper, we propose the Modified PSO (MPSO), in which the mutation operator of GA is incorporated into the conventional PSO to improve the search performance. To verify the optimal solution searching ability, the proposed approach has been evaluated on an IEEE 3D-bus test system. The results showed that performance of the proposed approach is better than that of the standard PSO.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.10
• /
• pp.1699-1708
• /
• 2007

The optimal power flow(OPF) problem was introduced by Carpentier in 1962 as a network constrained economic dispatch problem. Since then, the OPF problem has been intensively studied and widely used in power system operation and planning. In these days, OPF is becoming more and more important in the deregulation environment of power pool and there is an urgent need of faster solution technique for on-line application. To solve OPF problem, many heuristic optimization methods have been developed, such as Genetic Algorithm(GA), Evolutionary Programming(EP), Evolution Strategies(ES), and Particle Swarm Optimization(PSO). Especially, PSO algorithm is a newly proposed population based heuristic optimization algorithm which was inspired by the social behaviors of animals. However, population based heuristic optimization methods require higher computing time to find optimal point. This shortcoming is overcome by a straightforward parallel processing of PSO algorithm. The developed parallel PSO algorithm is implemented on a PC cluster system with 6 Intel Pentium IV 2GHz processors. The proposed approach has been tested on the IEEE 30-bus system. The results showed that computing time of parallelized PSO algorithm can be reduced by parallel processing without losing the quality of solution.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.25 no.10
• /
• pp.28-37
• /
• 2011

Though Korea has introduced CBP(Cost Based pool) power trading system since 2001, long-term Generation system planning has been executed by government for Cost minimization every 2 years. Until currently the model which is used for Generation system planning and best-mix only considers cost minimization and total yearly or quarterly electricity demand every year. In a view point of one day power supply operation, technical characteristics, like the ramp up/down rate of total generation system, minimum up/down time and GFRQ(Governor Free Response Quantity), are very important. this paper analyzes Optimal Fuel-Mix for 2022 Korea generation system satisfying these constraints of each fuel type and considering pump storage plants, construction cost and $CO_2$ emission charge Using MILP(Mixed Integer Linear Programming) method. Also the sensitivity analysis which follows in future power industry environmental change accomplished.