MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Zimmerman, Ray D.; Murillo-Sanchez, C.; Thomas, Robert J.

doi:10.1109/tpwrs.2010.2051168

Cited by 5,886 publications

(3,403 citation statements)

References 14 publications

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“…Reduction of annual energy losses ranges from 10.19% for 70 bus network to 68.67% for 880 bus network which is approximately similar to the reduction of power losses calculated for the peak load (Table 2). [14] was implemented with a relative gap of 2% and maximum computational time limit set to 10 h. The final objective values for these approaches were obtained by running full AC power flow [26] after obtaining the integer solution based on approximate DistFlow. We can see from the results shown in Table 2 that these approaches require smaller relative gap in order to find reported global optimal solution, which would significantly extend computational time for these approaches.…”

Section: Resultsmentioning

confidence: 99%

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

et al. 2018

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This paper presents novel cycle-break (spanning tree generation) algorithms which can be used to find the optimal distribution network topology. These algorithms (adjacency matrix/top-down/bottom-up cycle break) represent a novel way of obtaining radial network topology by cycle regrouping using adjacency matrix or elementary cycle information. Proposed methods assure connected radial network topology and can be used in combination with genetic algorithms to obtain optimal distribution network structure under minimum active power loss or network loading index framework. The cycle-break algorithms are used in initial population generation, crossover and mutation process to enhance the performance of the genetic algorithms in terms of convergence rate. These modifications make the proposed approach suitable for the use on realistic distribution networks without concern of its complexity. The algorithms are tested on a several standard test networks and the results are compared with the other existing approaches.

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Section: Resultsmentioning

confidence: 99%

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

et al. 2018

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“…5c [20]. Figure 5d shows daily voltage profiles of nodes 10 to 18 (calculated by MATPOWER [24]) when there is no voltage regulation. During hours 11 to 13 voltage at nodes 13 to 18 goes above the allowable limit of 1.058 p.u., that is the maximum allowable voltage during extreme conditions [19].…”

Section: Simulation Resultsmentioning

confidence: 99%

Distributed Energy Management of PV-Storage Systems for Voltage Rise Mitigation

Ansari

Simões

2017

Technol Econ Smart Grids Sustain Energy

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This paper develops a distributed consensusbased energy management scheme (EMS) for multiple photovoltaics+energy storage systems (PV+ESS) connected to a smart distribution network. First, each customer individually determines the optimal size and initial scheduling of ESS to be installed in parallel with PV over a dayahead planning horizon. The objective of installing ESS is to reduce the electricity bill while minimizing ESS aging effect. Then, after the day-ahead planning, customers manage their system in a near real-time fashion to account for voltage conditions in order to avoid voltage-rise-associated curtailments. Customers along the feeder communicate with each other and exchange information about voltage deviation at their nodes in order to reach a consensus about average voltage situation in the distribution network. Based on voltage situation, EMS updates the lower bound on net power exchange with the grid for the hour ahead. Also, an iterative method is proposed to determine the lifetime of ESS and the economic benefits gained over the lifetime. Simulation results for IEEE 33-bus test system prove the effectiveness of the proposed EMS and its financial viability. Keywords

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“…MATPOWER [18] is used for power flow computations in all simulations that produced results included in this work. This tool implements a so-called concentrated load model where the load is represented by lumped active and reactive powers.…”

Section: Resultsmentioning

confidence: 99%

Global capacity announcement of electrical distribution systems: A pragmatic approach

Cornélusse

Vangulick²,

Glavić

et al. 2015

Sustainable Energy, Grids and Networks

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a b s t r a c tWe propose a pragmatic procedure to facilitate the connection process of Distributed Generation (DG) with reference to the European regulatory framework where Distribution System Operators (DSOs) are, except in specific cases, not allowed to own their generation. The procedure is termed Global Capacity ANnouncement (GCAN) and is intended to compute the estimates of maximum generation connection amount at appropriate substations in a distribution system, to help generation connection decisions. The pragmatism of the proposed procedure stems from its reliance on the tools that are routinely used in distribution systems planning and operation, and their use such that the possibilities of network sterilization are avoided. The tools involved include: long-term load forecasting, longterm planning of network extension/reinforcement, network reconfiguration, and power flow. Network sterilizing substations are identified through repeated power flow computations. The proposed procedure is supported by results using an artificially created 5-bus test system, the IEEE 33-bus test system, and a part of real-life distribution system of ORES (a Belgian DSO serving a large portion of the Walloon region in Belgium).

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MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Cited by 5,886 publications

References 14 publications

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

Optimal Distribution Network Reconfiguration through Integration of Cycle-Break and Genetic Algorithms

Distributed Energy Management of PV-Storage Systems for Voltage Rise Mitigation

Global capacity announcement of electrical distribution systems: A pragmatic approach

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