• Title/Summary/Keyword: dispatch

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Optimal Environmental and Economic Operation using Evolutionary Computation and Neural Networks (진화연산과 신경망이론을 이용한 전력계통의 최적환경 및 경제운용)

  • Rhee, Sang-Bong;Kim, Kyu-Ho;You, Seok-Ku
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.12
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    • pp.1498-1506
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    • 1999
  • In this paper, a hybridization of Evolutionary Strategy (ES) and a Two-Phase Neural Network(TPNN) is applied to the optimal environmental and economic operation. As the evolutionary computation, ES is to search for the global optimum based on natural selection and genetics but it shows a defect of reducing the convergence rate in the latter part of search, and often does not search the exact solution. Also, neural network theory as a local search technique can be used to search a more exact solution. But it also has the defect that a solution frequently sticks to the local region. So, new algorithm is presented as hybrid methods by combining merits of two methods. The hybrid algorithm has been tested on Emission Constrained Economic Dispatch (ECED) problem and Weighted Emission Economic Dispatch (WEED) problem for optimal environmental and economic operation. The result indicated that the hybrid approach can outperform the other computational efficiency and accuracy.

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Function Merger Algorithm for Economic Dispatch (병합연료비함수를 이용한 경제급전 알고리즘 개발)

  • Min, Kyung-Il;Ha, Sang-Hyeon;Lee, Su-Won;Moon, Young-Hyun
    • Proceedings of the KIEE Conference
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    • 2007.11b
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    • pp.115-117
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    • 2007
  • This paper presents a new systematic approach to find a global solution to economic dispatch (ED) with multiple fuel units using a function merger (FM). Currently, no systematic approach has been developed to find a global solution to economic dispatch with multiple fuel units. Various heuristic methods have been proposed, however it is almost impossible to guarantee a global solution by those methods yet. The proposed method uses the FM and $\lambda$-P functions. A FM merges several fuel cost functions into one that satisfies the optimal conditions of an ED. The FM procedures are described in detail with illustrative examples.

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Application of Differential Evolution to Dynamic Economic Dispatch Problem with Transmission Losses under Various Bidding Strategies in Electricity Markets

  • Rampriya, B.;Mahadevan, K.;Kannan, S.
    • Journal of Electrical Engineering and Technology
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    • v.7 no.5
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    • pp.681-688
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    • 2012
  • This paper presents the application of Differential Evolution (DE) algorithm to obtain a solution for Bid Based Dynamic Economic Dispatch (BBDED) problem including the transmission losses and to maximize the social profit in a deregulated power system. The IEEE-30 bus test system with six generators, two customers and two trading periods are considered under various bidding strategies in a day-ahead electricity market. By matching the bids received from supplying and distributing entities, the Independent System Operator (ISO) maximize the social profit, (with the choices available). The simulation results of DE are compared with the results of Particle swarm optimization (PSO). The results demonstrate the potential of DE algorithm and show its effectiveness to solve BBDED.

Multi Case Non-Convex Economic Dispatch Problem Solving by Implementation of Multi-Operator Imperialist Competitive Algorithm

  • Eghbalpour, Hamid;Nabatirad, Mohammadreza
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1417-1426
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    • 2017
  • Power system analysis, Non-Convex Economic Dispatch (NED) is considered as an open and demanding optimization problem. Despite the fact that realistic ED problems have non-convex cost functions with equality and inequality constraints, conventional search methods have not been able to effectively find the global answers. Considering the great potential of meta-heuristic optimization techniques, many researchers have started applying these techniques in order to solve NED problems. In this paper, a new and efficient approach is proposed based on imperialist competitive algorithm (ICA). The proposed algorithm which is named multi-operator ICA (MuICA) merges three operators with the original ICA in order to simultaneously avoid the premature convergence and achieve the global optimum answer. In this study, the proposed algorithm has been applied to different test systems and the results have been compared with other optimization methods, tending to study the performance of the MuICA. Simulation results are the confirmation of superior performance of MuICA in solving NED problems.

The Modified Power Flow Analysis in a Sense of Economic Load Dispatch (발전기 동일 증분 비용 할당을 위한 변형된 조류계산)

  • Jang, Gwang-Soo;Lee, Sang-Ho;Hur, Don
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.1
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    • pp.1-6
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    • 2004
  • This paper suggests an extended power flow analysis algorithm based on a modified economic load dispatch concept. Meaningfully, the proposed method makes it possible to perform the power flow analysis without a slack bus. And the 'equal incremental cost' rule which is obtained by economic load dispatch prior to power flow is maintained even during the proposed power flow analysis. In this paper, both 5 - bus and 14 - bus power systems are used to offer the theoretical accuracy and practical applications of this algorithm.

GA-based Optimal Reactive Power Dispatch Taking Account of Transmission Loss Re-distribution and Voltage Dependent Load Models (송전손실 재분배와 전압의존형 부하모델을 적용한 GA기반의 무효전력 최적배분)

  • Chae, Myung-Suk;Lee, Myung-Hwan;Kim, Byung-Seop;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.350-353
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    • 2000
  • This paper presents an algorithm for Optimal Reactive Power Dispatch(ORPD) problem based on genetic algorithm. Optimal reactive power dispatch is particularized to the minimization of transmission line losses by suitable selection of generator reactive power outputs and transformer tap settings. To reduce system loss and improve voltage profile, two methods, Loss Re-Distribution Algorithm (LRDA) and Voltage Dependent Load Model (VDLM), are applied to ORPD. The proposed methods have been evaluated on the IEEE 30 bus system. Each of results have been compared with result of load flow.

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A Study of applying Optimal MLF for Zonal Pricing Electricity market (지역가격체계의 전력시장에 최적 한계손실계수 적용에 관한 연구)

  • Shin, Dong-Joon;Ko, Yong-Joon;Kim, Jin-O;Lee, Hyo-Sang
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.13-15
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    • 2000
  • This paper suggests the optimal dispatch method by MLF, that gives the appropriate price signal considering power flow and system losses under zonal pricing market. This price signal with MLF effects to dispatch merit order and customer price in the short term, and to connection point of new plant in the long term. In the case study, optimal MLF dispatch method applied to simplified Korean power system. The result shows reduction of loss and northward flow.

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A Study on the Constrained Dispatch Scheduling Using Linear Programming for TWBP (선형계획법을 이용한 양방향입찰시장에서의 제약급전계획 연구)

  • Kim Gwang Won;Lee Jong-Bae;Jung Jung-Won
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.10
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    • pp.573-580
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    • 2004
  • A new real-time constrained dispatch scheduling (CDS) is needed for TWBP. The CDS needs to be performed at every dispatch period to decide generation power of scheduling generators and amounts of scheduling load. Therefore, the CDS is not based on real generation costs but on bidding data of market participants with some constraints such as power balance, generation limits, ancillary service, and transmission line limits. This paper selects linear programming(LP) as an optimization tool for the CDS and presents effective formulae for the LP application. This paper also presents the way of minimizing the number of variables and constraints of the LP to improve real-time applicability.

Coordinated Control of ULTC Considering the Optimal Operation Schedule of Capacitors (커패시터의 최적 스케줄링을 고려한 ULTC의 협조 제어)

  • Park, Jong-Young;Park, Jong-Keun;Nam, Soon-Ryul
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.6
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    • pp.242-248
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    • 2006
  • This paper proposes a coordinated control method for under-load tap changers (ULTCs) with shunt capacitors to reduce the operation numbers of both devices. The proposed method consists of two stages. In the first stage, the dispatch schedule is determined using a genetic algorithm with forecasted loads to reduce the power loss and to improve the voltage profile during a day. In the second stage, each capacitor operates according to this dispatch schedule and the ULTCs are controlled in real time with the modified reference voltages considering the dispatch schedule of the capacitors. The performance of the method is evaluated for the modified IEEE 14-bus system. Simulation results show that the proposed method performs better than a conventional control method.

Block Coordinate Descent (BCD)-based Decentralized Method for Joint Dispatch of Regional Electricity Markets (BCD 기반 분산처리 기법을 이용한 연계전력시장 최적화)

  • Moon, Guk-Hyun;Joo, Sung-Kwan;Huang, Anni
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.1
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    • pp.23-27
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    • 2009
  • The joint dispatch of regional electricity markets can improve the overall economic efficiency of interconnected markets by increasing the combined social welfare of the interconnected markets. This paper presents a new decentralized optimization technique based on Augmented Lagrangian Relaxation (ALR) to perform the joint dispatch of interconnected electricity markets. The Block Coordinate Descent (BCD) technique is applied to decompose the inseparable quadratic term of the augmented Lagrangian equation into individual market optimization problems. The Interior Point/Cutting Plane (IP/CP) method is used to update the Lagrangian multiplier in the decomposed market optimization problem. The numerical example is presented to validate the effectiveness of the proposed decentralized method.