Three-phase cogenerator and transformer models for distribution system analysis

Chen, T.-H.; Chen, M.-S.; Inoue, Tomoyasu; Kotas, P.; Chebli, E.A.

doi:10.1109/61.97706

Cited by 263 publications

(164 citation statements)

References 4 publications

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“…In this way, the feeder can be represented by a steady-state model, in which the substation is represented as a voltage source behind a Thevenin impedance. If there are conventional DGs on the feeder, the above feeder model can be obtained easily by employing the simple Thevenin equivalent models for these generators [10]. However, for other kinds of DGs that response considerably after a fault occurs, the same technique can not be applied [11].…”

Section: Adaptive Primary Protection Setting For Feeders With Dgsmentioning

confidence: 99%

A New Adaptive Current Protection Scheme for Distributed Systems with Distributed Generation

Sheng¹,

Xiao-li²,

Ma³

2015

Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

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Abstract. An adaptive protection scheme using digital relays is proposed for the protection of the distributed systems. Firstly, the impact of distributed generators on protection coordination is discussed. Then, an adaptive protection scheme is proposed for distributed systems with distributed generation (DG). Simulated results on an actual distribution system show that the proposed approach can perform adaptive primary and backup protection functions under both balanced and unbalanced fault conditions. Also, the proposed approach is adaptive to the fault types as well as capacities of DG. Compared with the traditional current protection scheme, the primary and backup protection regions have been extended considerably.

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Section: Adaptive Primary Protection Setting For Feeders With Dgsmentioning

confidence: 99%

A New Adaptive Current Protection Scheme for Distributed Systems with Distributed Generation

Sheng¹,

Xiao-li²,

Ma³

2015

Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

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show abstract

“…In Equation (20), because the daily energy loss and voltage unbalance factors are with distinct units and the numerical values between them are quite different, normalization of the individual item between 0 and 1 is essential for multi-objective optimization. wi is an adjustable weighting factor depend on the requirement; besides, …”

Section: Multi-objective Functionmentioning

confidence: 99%

“…Two common frame of reference-based power flow algorithms are used in distribution networks: the Gauss and Newton-Raphson algorithms based on bus frame of reference are common techniques used for power flow solutions [20][21][22][23][24]; besides, other algorithms based on branch frame of reference were adopted for solving unbalanced power flows [25][26][27][28]. Graph theory and the backward/forward sweep method [25,26] were applied in the proposed power flow algorithm.…”

Section: Power Flow Algorithmmentioning

confidence: 99%

A Two-stage Optimal Network Reconfiguration Approach for Minimizing Energy Loss of Distribution Networks Using Particle Swarm Optimization Algorithm

Huang

Chen

et al. 2015

Energies

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This study aimed to minimize energy losses in traditional distribution networks and microgrids through a network reconfiguration and phase balancing approach. To address this problem, an algorithm composed of a multi-objective function and operation constraints is proposed. Network connection matrices based on graph theory and the backward/forward sweep method are used to analyze power flow. A minimizing energy loss approach is developed for network reconfiguration and phase balancing, and the particle swarm optimization (PSO) algorithm is adopted to solve this optimal combination problem. The proposed approach is tested on the IEEE 37-bus test system and the first outdoor microgrid test bed established by the Institute of Nuclear Energy Research (INER) in Taiwan. Simulation results demonstrate that the proposed two-stage approach can be applied in network reconfiguration to minimize energy loss.

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“…1. The core loss of DT could be evaluated by the shunt core loss functions on each phase of the secondary terminal [12] and will not be considered in the models.…”

Section: Modeling Of Distribution Transformermentioning

confidence: 99%

A Three-phase Hybrid Power Flow Algorithm for Meshed Distribution System with Transformer Branches and PV Nodes

Li¹,

Wu²,

Jiang³

et al. 2016

Journal of Electrical Engineering and Technology

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-Aiming at analyzing the power flow of the distribution systems with distribution transformer (DT) branches and PV nodes, a hybrid three-phase power flow methodology is presented in this paper. The incidence formulas among node voltages, loop currents and node current injections have been developed based on node-branch incidence matrix of the distribution network. The method can solve the power flow directly and has higher efficiency. Moreover, the paper provides a modified method to model DT branches by considering winding connections, phase shifting and off-nominal tap ratio, and then DT branches could be seen like one transmission line with the proposed power flow method. To deal with the PV nodes, an improved approach to calculate reactive power increment at each PV node was deduced based on the assumption that the positive-sequence voltage magnitude of PV node is fixed at a given value. Then during calculating the power flow at each iteration, it only needs to update current injection at each PV node with the proposed algorithm. The process is very simple and clear. The results of IEEE 4 nodes and the modified IEEE 34 nodes test feeders verified the correctness and efficiency of the proposed hybrid power flow algorithm.

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Three-phase cogenerator and transformer models for distribution system analysis

Cited by 263 publications

References 4 publications

A New Adaptive Current Protection Scheme for Distributed Systems with Distributed Generation

A New Adaptive Current Protection Scheme for Distributed Systems with Distributed Generation

A Two-stage Optimal Network Reconfiguration Approach for Minimizing Energy Loss of Distribution Networks Using Particle Swarm Optimization Algorithm

A Three-phase Hybrid Power Flow Algorithm for Meshed Distribution System with Transformer Branches and PV Nodes

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