• Title/Summary/Keyword: DGs Placement

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Placement and Operation of Dispersed Generation Systems using Fuzzy Goal Programming (Fuzzy Goal Programming을 응용한 분산형전원의 설치 및 운영)

  • 송현선;김규호
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.1
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    • pp.146-153
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    • 2004
  • This paper presents the method for the placement and operation of dispersed generator systems(DGs) using fuzzy goal programming in distribution systems. For the placement and operation of DGs the problem is formulated with reduction of search spaces and flexibility of system situations. Especially, the original objective function and constraints are transformed by fuzzy goal programming to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithm.

A Study on the Effective Coordination Scheme of Recloser for the Conventional Distribution System Interconnected Dispersed Generation (배전계통에 분산전원 연계시 기존 배전 계통측의 효과적인 리클로저 보호협조 연구)

  • Jung, Seung-Bock;Kim, Jae-Chul;Moon, Jong-Fil;Yun, Sang-Yun;Choi, Joon-Ho;Bae, Joo-Chun
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.533-535
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    • 2002
  • In Korea, power requirement has been increasing. But the large generation unit is hardly installed because of economic and environment problem. Therefore, the concern of dispersed generation system(DGS) is growing. The power distribution system is generally operated with radial type. The protection system is composed of one directive source. But power distribution system inserted DGS changes it to two directive source system. Therefore, the insertion of DGS has the problem of protection coordination. In this paper, we argue fault current affected by interconnected DGS. We analyze fault current flow affected by DGS placement. Then, we find protective coordination problem. Consequently, we study advance point for protection scheme of power system interconnected DGS.

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Planning for Operation of Dispersed Generation Systems considering Load Unbalance in Distribution Systems (배전계통에서 부하불평형을 고려한 분산형 전원의 운영 계획)

  • 이유정;유석구
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.17 no.5
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    • pp.118-125
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    • 2003
  • This paper presents a scheme for the placement of dispersed generator systems(DGs) based on load model in unbalanced systems. Groups of each individual load model consist of residential, industrial, commercial, official and agricultural load The main idea of solving fuzzy goal programming is to transform the original objective function and constraints into the equivalent multi-objectives functions with fuzzy sets to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithm The method proposed is applied to IEEE 13 bus unbalanced distribution systems to demonstrate its effectiveness.

Harmony Search Algorithm for Optimal Placement Problem of Distributed Generations (분산전원 최적설치를 위한 Harmony Search 알고리즘 응용)

  • Rhee, Sang-Bong;Kim, Kyu-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.5
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    • pp.866-870
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    • 2010
  • This paper presents a application of Harmony Search (HS) algorithm for optimal placement of distributed generations(DGs) in distribution systems. In optimization procedure, the HS algorithm denotes the searching ability for the global optimal solution with simple coding of the iteration procedure, and shows the fast convergence characteristics for getting solutions. The HS algorithm is tested on 9 buses and 69 buses distribution systems, and the results prove its effectiveness to determine appropriate placement points of DGs and reducing amount of active power without the occurrence of any mis-determination in selection of its capacity.

An Optimal Procedure for Sizing and Siting of DGs and Smart Meters in Active Distribution Networks Considering Loss Reduction

  • Sattarpour, T.;Nazarpour, D.;Golshannavaz, S.;Siano, P.
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.804-811
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    • 2015
  • The presence of responsive loads in the promising active distribution networks (ADNs) would definitely affect the power system problems such as distributed generations (DGs) studies. Hence, an optimal procedure is proposed herein which takes into account the simultaneous placement of DGs and smart meters (SMs) in ADNs. SMs are taken into consideration for the sake of successful implementing of demand response programs (DRPs) such as direct load control (DLC) with end-side consumers. Seeking to power loss minimization, the optimization procedure is tackled with genetic algorithm (GA) and tested thoroughly on 69-bus distribution test system. Different scenarios including variations in the number of DG units, adaptive power factor (APF) mode for DGs to support reactive power, and individual or simultaneous placing of DGs and SMs have been established and interrogated in depth. The obtained results certify the considerable effect of DRPs and APF mode in determining the optimal size and site of DGs to be connected in ADN resulting to the lowest value of power losses as well.

Analytical Approach for Optimal Allocation of Distributed Generators to Minimize Losses

  • Kaur, Navdeep;Jain, Sanjay Kumar
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1582-1589
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    • 2016
  • In this paper the integration of Distributed Generation (DG) in radial distribution system is investigated by computing the optimal site and size of DG to be placed. An analytical expression based on equivalent current injection has been derived by utilizing topological structure of radial distribution system to find optimal size of DG to minimize losses. In the presented formulation, the optimal DG placement is obtained without repeatedly computing the load flow. The proposed formulation can be used to find the optimal size of all types of DGs namely Type-I, Type-II, Type-III and Type-IV DGs. The investigations are carried out on IEEE 33-bus and 69-bus radial distribution systems. The optimal DG placement results into reduction in active and reactive power losses and improvement in voltage profile of the buses.

Placement and Operation Planning of DG System considering Load Modeling in Unbalanced Distribution Systems (불평형배전계통에서 부하모형을 고려한 분산형전원의 설치 및 운영계획)

  • Kim, Kyu-Ho;Lee, Yu-Jeong;Rhee, Sang-Bong;Lee, Sang-Keun;You, Seok-Ku
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.396-398
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    • 2003
  • This paper presents the scheme for load model based dispersed generation system (DGs) installation and operation in unbalanced distribution systems. Groups of each individual load model consist of residential, industrial, commercial, official and agricultural load. The main idea of solving fuzzy nonlinear goal programming is to transform the original objective function and constraints into the equivalent multiple objective functions with fuzzy sets to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithms. The method proposed was applied to IEEE 13 bus test systems to demonstrate its effectiveness.

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Optimal Placement of Distributed Generators in Radial Distribution System for Reducing the Effect of Islanding

  • K, Narayanan.;Siddiqui, Shahbaz A.;Fozdar, Manoj
    • Journal of Electrical Engineering and Technology
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    • v.11 no.3
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    • pp.551-559
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    • 2016
  • The present trend of increasing the penetration levels of Distributed Generator (DG) in the distribution network has made the issue of Islanding crucial for the reliable operation of the network. The islanding, if not detected early may lead to the collapse of the system as it can drive the distribution system to the cascaded failure. In this paper, an extensive study of the effect of DG placement and sizing is performed by dividing the system into different zones to obtain a reduced effect of islanding. The siting and sizing of DG is carried out to improve the overall voltage profile or/and reduction in active power loss using two stage Genetic Algorithm (GA). In the first stage a basic knockout selection is considered and the best population is taken for next stage, where roulette selection for crossover and mutation is performed for optimal placement and sizing of DGs. The effect of the islanding, due to load variations is reduced by optimal siting and sizing of DG. The effectiveness of the proposed scheme is tested on the IEEE 33 and 69 radial bus systems and the results obtained are promising.

Optimal Placement of Distributed Generations Considering System Losses and State Estimation in Composite Distribution Systems (복합배전계통에서 계통손실을 고려한 분산형 전원의 위치선정 및 상태추정)

  • Kwon Hyung-Seok;Kim Hongrae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.6
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    • pp.533-538
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    • 2004
  • Recently, it is increasing the concern of distributed generations(DGs) that installed small power at a site near by the customer. In deregulation environment, not only distributed generation operation but also state estimation is the key function in distribution systems. This paper process to calculate the impact of distributed generation on a distribution feeder. WLAV state estimation is performed the distribution systems with DGs and bad data test including single, multiple, interacting. Simulations with test cases are performed and the results are presented, using IEEE 34 bus radial distribution systems

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Value-based Distributed Generation Placements for Reliability Criteria Improvement

  • Heidari, Morteza;Banejad, Mahdi
    • Journal of Electrical Engineering and Technology
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    • v.8 no.2
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    • pp.223-229
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    • 2013
  • Restructuring and recent developments in the power system and problems arising from construction and maintenance of large power plants, increasing amount of interest in distributed generation (DG) source. Distributed generation units due to specifications, technology and location network connectivity can improve system and load point reliability indices. In this paper, the allocation and sizing of DG in distribution networks are determined using optimization. The objective function of the proposed method is to improve customer-based reliability indices at lowest cost. The placement and size of DGs are optimized using a Genetic Algorithm (GA). To evaluate the proposed algorithm, 34-bus IEEE test system, is used. The results illustrate efficiency of the proposed method.