• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.390-391
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• 2006

The economic dispatch problem is important in both power system planning and operation, although there have been major advances in defining and solving more complete Optimal Power Flow(OPF) problems, there exists a need for constrained economic dispatch techniques which, though not as rigorous or as exact an OPF, are fast enough to be used on desktop computers. This paper presents a DC-OPF algorithm that is based upon Relative-Contribution Index in Generators. The transmission constraints are modeled as linear constraint based on a DC-Power-Flow model. An detailed illustrative example is presented.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.366-368
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• 2002

This paper presents a technique that can obtain an optimal solution for the Security-Constrained Economic Dispatch (SCED) problems using the Interior Point Method (IPM) while taking into account of the power flow constraints. The SCED equations are formulated by using only the real power flow equations from the optimal power flow. Then an algorithm is presented that can linearize the SCED equations based on the relationships among generation real power outputs, loads, and transmission losses to obtain the optimal solutions by applying the linear programming (LP) technique. Finally, the application of the Primal Interior Point Method (PIPM) for solving the optimization problem based on the proposed linearized objective function is presented. The results are compared with the Simplex Method and the Promising results ard obtained.

• Journal of Advanced Marine Engineering and Technology
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• v.33 no.3
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• pp.395-402
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• 2009

This paper presents the newly developed Pareto-based multi-objective Bees Algorithm with weighted sum technique for solving a power system multi-objective nonlinear optimization problem. Specifically, the Pareto-based Bees Algorithm with memorized zone has been developed to alleviate both difficulties from classical techniques and intelligent techniques for multi-objective problems (MOP) and successfully applied to an Environmental/Economic (electric power) dispatch (EED) problem. This multi-objective Bees Algorithm has been examined and applied to the standard IEEE 30-bus six-generator test system. Simulation results have been compared to those obtained using other approaches. The comparison shows the potential and effectiveness of the proposed Bees Algorithm for solving the multi-objective EED problem.

• Journal of Advanced Marine Engineering and Technology
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• v.33 no.3
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• pp.403-410
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• 2009

The aim of this research is to develop the Bees Algorithm named 'the dynamic allocated Bees Algorithm' for multi-objective problem, especially in order to be suit for Pareto optimality. In addition two new neighbourhood search methods have been developed to produce enhanced solutions for a multi-objective problem named 'random selection neighbourhood search' and 'weighted sum neighbourhood search' and they were compared with the basic neighbourhood search in the dynamic allocated Bees Algorithm. They were successfully applied to an Environmental/Economic (electric power) dispatch (EED) problem and simulation results presented for the standard IEEE 30-bus system and they were compared to those obtained using other approaches. The comparison shows the superiority of the proposed dynamic allocated Bees Algorithms and confirms its suitability for solving the multi-objective EED problem.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.40-41
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• 2008

본 논문에서는 한국형 통합 에너지관리시스템(K-EMS)용 발전계획 응용프로그램 중에서 경제급전(Economic Dispatch) 프로그램 개발의 상세 내용을 소개한다. 특히 복합화력에서 가스터빈(GT)과 스팀 터빈(ST)의 현재출력을 고려하여 등가복합화력기로 변환하여 경제배분에 포함시키는 방안 및 데이터 이상 또는 데이터 미비 처리 방안 등을 소개한다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.523-524
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• 2015

신재생 에너지는 발전 시 연료가 들지 않는다는 특징과 친환경적인 이유로 각광 받고 있다. 이러한 특징으로 인해 에너지 독립 계통을 구성하는 데 주요 역할을 한다. 풍력, 태양광, 에너지 저장 장치 등이 분산 전원으로서 계통을 구성하게 되는데, 낮은 효율과 높은 초기 설치비용으로 인해 디젤 발전기나 마이크로 터빈 등 소형 발전기를 예비 전력으로서 부착하는 경우가 대부분이다. 이러한 분산 전원들은 가격이 제각각이며 기존의 화석연료 발전기처럼 비용 함수 모델링이 어려워 경제적 분석이 어려웠다. 이 논문은 이러한 신재생 에너지를 사용한 독립 마이크로그리드를 경제적 관점에서 분석하는 것이 목적이다. 따라서 계통을 분석하는 가장 보편적인 방법인 최적 조류 계산(OPF, Optimal Power Flow)방법과 가격을 최소화하는 점을 찾는 경제급전(ED, Economic Dispatch)방법을 사용하였다. 두 가지 방법의 결과를 비교하여 발전 비용을 줄일 수 있는지에 대해 조사하였다. 7-Bus 가상 계통을 만들어 사용하였고, OPF와 ED의 발전 비용은 PowerFactory$^{(R)}$ 프로그램을 통해 시뮬레이션 하여 데이터를 얻었다.

• Proceedings of the KIEE Conference
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• 1999.11b
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• pp.206-209
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• 1999

This paper presents an improved method of calculating the penalty factors for economic load dispatch based on B-coefficient and AC load flow and their performance comparison. The algorithm for calculating B-coefficients by Meyer is improved and its performance is compared with that of AC load flow. The B-coefficient method is superior to the load flow method in its simplicity and computation speed. However accuracy of the B-coefficient method is not satisfactory when it is applied to the ill-conditioned systems where generators produce excessive reactive power.

• Proceedings of the KIEE Conference
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• 1987.11a
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• pp.101-105
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• 1987

A new probabilistic production costing simulation model has been developed based on the effective load and economic load dispatch. The best model must be able to simulate the real world exactly and the computing efficiencies are also reasonable. This proposed model is a new concept for the probabilistic production costing simulation model. This model is compared with the available existing ones through two sample systems, and the excellent results are shown.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.10
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• pp.418-425
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• 2006

This paper describes a simulation package for a power system using objected-oriented programming. The package includes four parts which are a power flow, a short circuit calculation, a transient simulation program, and an economic dispatch. The graphical user interface(GUI) is designed as a common platform which allows the user to create one-line diagrams of systems, specify components of power systems as well as simulation parameters, and view the output produced by the chosen application. The paper presents the data structure of the functional modules such as the draw module, power system data module, the power system simulation module, and the utility module using the object oriented programming. This package may be useful for educational and research purposes.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.9
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• pp.406-410
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• 2001

This paper develops an efficient evolutionary programming based algorithm for solving the environmentally constrained economic dispatch problem in thermal power system. The proposed algorithm can deal with the power balance constraints and the emission constraints which are equality and inequality constraints, respectively. Numerical results show that the proposed algorithm can provide superior solutions within reasonable time through its application to a test system.