• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.790-792
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• 1996

According to increase in electric power demand, the increasing rate of peak load compared with that of base load grows larger every year. Thus this paper deals with the optimal dynamic dispatch problem due to power rate limits and spinning reserve with loss or without loss. The first is adjusting module for gradual change of generator power by Object-Oriented Programming. The latter is an efficient dispatch module for the consideration of reasonable spinning reserve requirements. The proposed algorithm has been shown efficiency in real power system with loss.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.832-834
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• 1996

This paper presents the research on the application of the Hopfield Neural Network to the Economic Load Dispatch problem. The ELD problem has convex cost functions as the objective functions, power balance equation and real power lower/upper limits as the constraints. So we have shown that the possibility of the application of the Hopfield Neural Network to the ELD problem. Through the case study, the simulation results are very close to the numerical method and the dynamic programming method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(I)
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• pp.644-647
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• 1987

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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• pp.92-94
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• 1988

One of the recurring problems facing energy control center dispatchers each day is how to operate the system during the periods of high load pick up and fluctuation. This method reduces the problem to a forward - revised by backward - sequence of dispatch problem, with the generator Limits being carefully adjusted between each time interval in the total intervals to be optimized. It is applied to system of 31 units. It is observed that the method presented here achieves that generation fellows the load changes without any mismatch.

• Journal of Electrical Engineering and Technology
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• 제4권1호
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• pp.55-65
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• 2009

Due to the rapid increase of electricity demand, consideration of environmental constraints in optimal power flow (OPF) problems is increasingly important. In Algeria, up to 90% of electricity is produced by thermal generators (vapor, gas). In order to keep the emission of gaseous pollutants like sulfur dioxide (SO2) and Nitrogen (NO2) under the admissible ecological limits, many conventional and global optimization methods have been proposed to study the trade-off relation between fuel cost and emissions. This paper presents an efficient decomposed Parallel GA to solve the multi-objective environmental/economic dispatch problem. At the decomposed stage the length of the original chromosome is reduced successively and adapted to the topology of the new partition. Two subproblems are proposed: the first subproblem is related to the active power planning to minimize the total fuel cost, and the second subproblem is a reactive power planning design based in practical rules to make fine corrections to the voltage deviation and reactive power violation using a specified number of shunt dynamic compensators named Static Var Compensators (SVC). To validate the robustness of the proposed approach, the algorithm proposed was tested on the Algerian 59-bus network test and compared with conventional methods and with global optimization methods (GA, FGA, and ACO). The results show that the approach proposed can converge to the near solution and obtain a competitive solution at a critical situation and within a reasonable time.

• 전기의세계
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• 제21권2호
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• pp.34-40
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• 1972

This paper describes the problem of the shortange-economic-scheduling for unit commitment and load dispatching in thermal power system. For economic operation of thermal system, the optimum time of startup and shoutdown of the generating unit must be determined so as to minimize the sum of generating and starting fuel cost over a given period. The above problems are analyzed for the purpose of the application of Dynamic Programing Method. Also the technique of Dynamic Programming is applied to the problems. For the illustative purpose, a case study was made on a model system composed of eight units and the computing time was about 190 seconds by IBM 360-40 system. Therefore, one can utilize this suggested method on any of the practical power systems.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.522-523
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• 2008

This paper develops optimal operation mechanism of CHP(Combine Heat and Power) for enhancement of energy efficiency. It verify optimal operation of Accumulator using Economic Heat Load Dispatch and Dynamic Programing through case study.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.125-126
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• 2007

This paper presents a CHP Heat Exchange Mechanism considering Economic Load Dispatch with Dynamic Programming. It calculates CHP heat generation cost and Heat load pattern. Also It presents CHP optimal operation through appliance of Heat Exchange Mechanism and investigates CHP optimal operation effects about connected two regions.

• 한국인터넷방송통신학회논문지
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• 제16권1호
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• pp.253-262
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• 2016

본 논문은 경제급전 최적화 문제에 균형-교환 방법을 제안하였다. 제안된 알고리즘은 모든 발전기를 가능한한 밸브지점으로 운영한다고 가정한다. 초기치로 최대 발전량 $P_i{\leftarrow}P_i^{max}$로 설정하고, 각 발전기의 밸브지점 $v_k$까지 발전량을 감소시켰을 때의 평균 발전단가 $c_i=\frac{F(P_i)-F(P_{iv_k})}{(P_i-P_{iv_k})}$가 최대가 되는 $_{max}c_i$ 발전기 i의 발전량을 밸브지점 발전단가 $P_{iv_k}$로 감소시켰으며, ${\Sigma}P_i-P_d$ > 0이면 $c_i=F(P_i)-F(p_i-1)$의 $_{max}c_i$ 발전기 발전량을 $P_i{\leftarrow}P_i-1$로 감소시켜 ${\Sigma}P_i=P_d$의 균형을 맞추었다. 다음으로, $_{min}\{_{max}(P_i-P_i^{min}),\;_{max}(P_i^{max}-P_i)\}$>${\alpha}{\geq}10$의 범위에 대해 "-10" 간격으로 감소시키는 성인걸음법으로, 10>${\alpha}{\geq}1$ 범위에 대해서는 "-1"의 아기걸음법으로, $P_i=P_i{\pm}{\alpha}$에 대한 $_{max}[F(P_i)-F(P_i-{\alpha})]$>$_{min}[F(P_j+{\alpha})-F(P_j)]$, $i{\neq}j$이면 $P_i=P_i-{\alpha}$, $P_j=P_j+{\alpha}$로 발전량을 교환하는 방법으로 최적화를 수행하였다. 다음으로 ${\alpha}=\text{0.1, 0.01, 0.001, 0.0001$에 대해 미세한 교환을 수행하였다. 동적 경제급전 문제의 시험 사례에 제안된 알고리즘을 적용한 결과 기존의 휴리스틱 알고리즘 최적화 발전비용을 크게 감소시켜 경제적인 이익을 극대화 시켰다.

• Journal of Electrical Engineering and Technology
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• 제4권3호
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• pp.346-352
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• 2009

The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient