Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis

Amjad, Bilal; Al-Ja’Afreh, Mohammad Ahmad A.; Mokryani, Geev

doi:10.3390/en14144361

Cited by 12 publications

(4 citation statements)

References 29 publications

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“…On the other hand, traditional mathematical programming methods such as Branch and Bound, Branch and Cut, Cutting plane method can guarantee the optimality of the model solutions. However, as the problem size increases, the solution time increases exponentially [11][12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data

Liang,

Zhao,

Huang

et al. 2023

ENERGY

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The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks. However, the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network planners. To address this issue, we propose a fast N-1 verification procedure for urban distribution networks that combines CIM file data analysis with MILPbased mathematical modeling. Our proposed method leverages the principles of CIM file analysis for distribution network N-1 analysis. We develop a mathematical model of distribution networks based on CIM data and transfer it into MILP. We also take into account the characteristics of medium voltage distribution networks after a line failure and select the feeder section at the exit of each substation with a high load rate to improve the efficiency of N-1 analysis. We validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization algorithms. By enabling online N-1 analysis, our approach significantly improves the work efficiency of distribution network planners. In summary, our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 analyses. By leveraging the advantages of CIM file data analysis and MILP-based mathematical modeling, our approach contributes to the development of more resilient and reliable electric power distribution networks.

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Section: Literature Reviewmentioning

confidence: 99%

Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data

Liang,

Zhao,

Huang

et al. 2023

ENERGY

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“…The second type of research is based on investment optimization models and obtaining solutions using related improvement methods [4], such as particle swarm optimization [5] and envelope analysis method [6] to obtain optimal ranking results according to different objective functions and boundary conditions. Dušan Božič et al [7] calculated the improvement range of active power loss and other indicators of the project planning scheme and analysed respectively based on the overall investment maximization and the highest score of a single project.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Approach for Distribution Network Planning Strategy Based on Combined Improved Cloud Model and Evidence Theory

Dong,

Liu,

et al. 2023

J. Phys.: Conf. Ser.

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With the continuous promotion of China’s power reform, higher requirements and standards have been put forward for distribution network investment decisions. However, the current work of distribution network project optimization in China has the problems of high subjectivity of investment decisions, fuzzy evaluation method, and high uncertainty of project optimization. In response to the above problems, this paper proposes a distribution network planning scheme optimization method based on the improved cloud model and evidence theory. Firstly, the optimal index system of the planning scheme is constructed from the dimensions of load transfer capacity, grid structure level, load capacity, investment benefit, social benefit, and life-cycle cost. Secondly, for subjectivity and ambiguity problems, the traditional degree of the membership function is replaced by a cloud model optimized by cloud entropy. Thirdly, the problem of uncertainty is addressed through evidence theory, while the game theory approach is used to identify conflicting evidence for evidence revision and fusion in the case of conflicting evidence arising from traditional evidence theory. Moreover, by improving the TOPSIS method and comparing the distances between the basic probability assignments of each planning scheme and the positive and negative virtual optimal solutions, the final decision results can be determined. Finally, the effectiveness and superiority of the proposed method are verified by experiments.

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“…With the rapidly growing penetration of renewable energy sources and the everincreasing complexity of electrical systems, transmission lines are becoming overloaded and experiencing reduced stability, increased voltage variation, and loop-flow of power. This fact is even more pronounced in large-scale power systems [1][2][3][4]. The demands for better utilization of existing power systems and to increase power transfer capability by installing flexible AC transmission system (FACTS) devices have become increasingly urgent.…”

Section: Introductionmentioning

confidence: 99%

Short-Circuit Fault Analysis of the Sen Transformer Using Phase Coordinate Model

Han

Feng

2021

Energies

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The Sen Transformer (ST) provides an economical solution for power flow control and voltage regulation. However, fault analysis and evaluation of the performance of the transmission protection system in the presence of a ST have not been investigated. Hence, a short-circuit model of the ST using the phase coordinate method is proposed in this paper. Firstly, according to the coupled-circuit ST model, the nodal admittance matrix between the sending end and receiving end of the ST was deduced. Subsequently, a fully decoupled mathematical model was established that can reflect three characteristics, including its winding connection structure, electrical parameters, and ground impedance. Thus, with the help of the phase-coordinate-based solving methodology, a short-circuit ST model may be built for various short-circuit faults. The MATLAB and PSCAD/EMTDC software were employed to carry out simulated analyses for an equivalent two-bus system. The short-circuit currents obtained from the time-domain simulation and the analytic calculation utilizing the proposed model reached an acceptable agreement, confirming the simulation’s effectiveness. Moreover, the variation of the fault currents with the variation of the compensating voltage after single-phase-to-ground and three-phase short-circuit faults was demonstrated and used to analyze the effect of the ST on the fault currents.

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Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis

Cited by 12 publications

References 29 publications

Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data

Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data

An Optimization Approach for Distribution Network Planning Strategy Based on Combined Improved Cloud Model and Evidence Theory

Short-Circuit Fault Analysis of the Sen Transformer Using Phase Coordinate Model

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