scholarly journals Increased Resilience Using Close Loop Renewable Microgrids in the Surabaya Distribution System as a Self-Healing Application

2021 ◽  
Vol 2117 (1) ◽  
pp. 012026
Author(s):  
D F U Putra ◽  
A Soeprijanto ◽  
O Penangsang ◽  
R Delfianti ◽  
N H Rohiem ◽  
...  
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Voltage Drop ◽  
Flow Analysis ◽  
Binary Particle Swarm Optimization ◽  
Self Healing ◽  
Calculation Algorithm ◽  
A Value ◽  
Network Operations ◽  
Distribution System Reconfiguration

Abstract Distribution system reconfiguration has two main objectives, namely as optimization of network operations and as system recovery in case of disturbances. It is necessary to consider the reconfiguration process and the process of using Distributed Generation (DG) or microgrid as an additional supply to reduce the possibility of failure, loss of power, or a voltage drop. Therefore the first step in research This results in the candidate bus 14 and bus 52 on the Mulyosari feeder which must be reconfigured by cutting off the flow at L13 and L50 because the losses on both buses are the worst with a value of 0.01370MW and 0.00900MW using the calculation algorithm of Binary Particle Swarm Optimization (BPSO) to predict the location of possible failures and the placement DG, and selected on bus 29 and bus 45 which were injected DG with a PV capacity of 15 kW each, after the self-healing was applied to the system, power flow analysis was carried out, and get good results g is very satisfactory with the total losses in the system decreased from 0.363MW to 0.116MW from this study we can conclude that self-healing can only be done if the distribution system is a complex radial.

scholarly journals Island division and multi-objective network reconstruction considering power flow entropy

2020 ◽  
Vol 309 ◽  
pp. 03007
Author(s):  
Linghui Yang ◽  
Yun Wang ◽  
Min Wang ◽  
Chao Wu ◽  
Jian Zhou ◽  
...  
Keyword(s):  
Power Supply ◽  
Distribution System ◽  
Power Flow ◽  
Voltage Drop ◽  
Network Reconstruction ◽  
Load Level ◽  
Binary Particle Swarm Optimization ◽  
Line Load ◽  
Set Up ◽  
Node Voltage

Modern power system can identify component faults, isolate faults and resume operation quickly. In view of the problem that the distribution of line load in distribution network is not reasonable and it is easy to fall into the self-organized critical state, this paper introduces power flow entropy as an evaluation index to measure the robustness of power network reconstruction. Based on the power supply capability and node load level of distributed power supply in the process of network reconstruction, a strategy of island division is proposed. Then, a mathematical model is set up to minimize power flow entropy, network loss and node voltage drop, and the problem of network reconstruction after fault is solved by the improved chaos theory and binary particle swarm optimization algorithm. Finally, an example of IEEE-33 node distribution system is given to verify the feasibility of the proposed strategy and the effectiveness of the algorithm.

scholarly journals Load Flow Analysis and Short Circuit Faults with the Additional Distributed Generation Wind Turbine 300 kW at Andalas University

2021 ◽  
Vol 1 (1) ◽  
pp. 41-47
Author(s):  
Fadhel Putra Winarta ◽  
Yoli Andi Rozzi
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Electric Power ◽  
Power Flow ◽  
Voltage Drop ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
Electric Power System ◽  
A Value

The study of electric power flow analysis (Load Flow) is intended to obtain information about the flow of power or voltage in an electric power system network. This information is needed to evaluate the performance of the power system. Electrical power flow problems include calculating the flow and system voltage at certain terminals or buses. The benefits of this power flow study are to find out the voltage at each node in the system, to find out whether all the equipment meets the specified limits to deliver the desired power, and to obtain the original conditions in the new system planning. This study is divided into two: the analysis of data when the conditions have not been added wind turbine and after the addition of 300 kW wind turbine with software power station ETAP software 12.6.0 and the Newton-Raphson method will be used in analyzing the power flow of the electric power system. Based on the results of the tests, it is found that the overall value of losses for power flow before the addition of DG is 0.031 MW and 0.037 Mvar, for the voltage drop with the lowest percentage, namely on bus 10 with a percentage of 96.45 for the 0.4 kV system and the 20 kV system on bus 19 with a percentage of 99.03, the largest% PF load was in lump 1 with 98.64 and the smallest% PF was in lump7 with a value of 84.92. The short circuit data value on the 20 kV bus system at Andalas University before the addition of DG with 3-phase disturbances averaged 13.354 A, 1-phase disturbances averaged 3.521 A, 2-phase disturbances averaged 11.719 A and 2 ground phases of 12.842 A Whereas for the value of power flow after the addition of DG in the form of the wind turbine of 300 kW the overall value of losses is 0.032 MW and 0.042 MvarAR, for the voltage drop with the percentage for voltage drop with the lowest percentage is bus 10 with a percentage of 96.63 for system 0, 4 kV and a 20 kV system on bus 14 with a percentage of 98.1, the largest% PF load is in lump 1 with 98.64 and the smallest% PF is in lump7 with a value of 84.92. The short circuit data value on the 20 kV bus system at Andalas University after the addition of DG with 3 phase disturbances has an average value of 13.354 A, 1 phase disturbance averages 3.523 A, 2 phase disturbances average 11.737 A and 2 phases ground is 12.059 A For the source in this system, after the addition of DG, there was a change in the% PF of the PLN grid, namely 79.53 and the wind turbine -83%.

Modelling the impact of micro-combined heat and power generators on electricity distribution networks

2008 ◽  
Vol 222 (7) ◽  
pp. 697-706 ◽  
Author(s):  
M Thomson ◽  
D Infield
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Internal Combustion Engines ◽  
Energy Use ◽  
Flow Analysis ◽  
Distribution Networks ◽  
Electricity Distribution ◽  
Power Generators ◽  
Electricity System ◽  
The Impact

This paper investigates potential technical effects that a high take up of domestic micro-CHP could have on an electricity distribution system. This study is based on a combination of house-by-house energy use modelling and network power-flow analysis. A variety of micro-CHP technologies are represented, including Stirling engines, internal combustion engines, and fuel cells. These have different heat-to-power ratios and thus different impacts on the electricity system. The results and discussion focus on voltage rise, which is considered to be the primary constraint on allowable penetration.

A novel power flow analysis for microgrid distribution system

2013 ◽  
Author(s):  
Ting-Chia Ou ◽  
Ta-Peng Tsao ◽  
Whei-Min Lin ◽  
Chih-Ming Hong ◽  
Kai-Hung Lu ◽  
...  
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Flow Analysis ◽  
Power Flow Analysis

Power Flow Calculation for Distribution System Including PV Type Distributed Generation

2014 ◽  
Vol 694 ◽  
pp. 159-162
Author(s):  
Fei Han ◽  
Ning Zhou ◽  
Jian Wei Ma ◽  
Xian Ling Yu
Keyword(s):  
Ant Colony Optimization ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Flow ◽  
Reactive Power ◽  
Simulation Software ◽  
Ant Colony ◽  
Power Correction ◽  
Calculation Algorithm ◽  
Flow Solution

After distribution network with PV type distributed generation, it emerged PV nodes. Advanced forward and backward substitution method is proposed based on ant colony optimization method to improve power flow solution, which is a method based on ant colony optimization calculation algorithm of reactive power correction, improved the model of PV type distributed generation in the power flow calculation.Use PSSSINCAL power system simulation software to set up the model of distribution System including PV type distributed generation. Through the results of simulation calculation show that the algorithm can cope with power flow solution for distribution system including PV type distributed generation effectively, and the convergence property is very good.

scholarly journals Techno-Economic Models For Integration Of Wind Energy

2021 ◽  
Author(s):  
Chandrabhanu O.G. Kankanamalage
Keyword(s):  
Wind Energy ◽  
Electricity Markets ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Flow Analysis ◽  
Power Flow Analysis ◽  
Wind Generators ◽  
Three Phase ◽  
Intelligent Models

This thesis focusses on three specific areas of integrating wind energy with power systems: 1) technical modeling of wind generators for power flow analysis, 2) probabilistic modeling of wind generators for planning studies, and 3) economic modeling for integration of wind energy in electricity markets. Wind generator output is a function of wind speed and 3-phase terminal voltages. Complete nonlinear three-phase models of wind generators are accurate but are computationally cumbersome and unsuitable for power flow analysis purposes. Intelligent models of wind generators are proposed for their accurate representation and use in power flow analysis algorithms. The main advantages of these intelligent models of wind generators are their mathematical simplicity, computational speed and numerical accuracy when the generators are connected to unbalanced three-phase distribution systems. These proposed intelligent models of wind generators were tested with the three-phase, unbalanced, IEEE 37-bus test system. The results show that the intelligent models of wind generators are computationally ten times faster than exact nonlinear models. In addition, simplicity of the proposed intelligent models of wind generators allows easy integration into commercial software such as PSS®E and PSS®SINCAL. In the second study, a probabilistic model of wind generators was integrated with algorithm for distribution system analysis. The proposed probabilistic power flow analysis method for distribution systems takes into account the stochastic nature of wind generation and forecasted bus-wise peak load. Probability distribution functions for bus voltages are reconstructed. The proposed method is tested on a modified 70-bus distribution system and the results are reported. Thirdly, an economic integration model for wind generators with electricity markets is proposed. The proposed model is in the form of a Wind Generators Cooperative (WGC). This proposed model overcomes challenges posed by uncertainty and intermittency of wind generation. The proposed cooperative model maximizes returns for wind generators by minimizing the effect of uncertainty by smoothing effect and using pumped-hydro facilities. A case study with actual data from Ontario (Canada) was completed. Analyses clearly demonstrate that the WGC increases returns to wind generators and reduces their exposure to uncertainty.

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