MULTI-OBJECTIVE PLANNING FOR CONTINGENCY ANALYSIS AND FUTURE EXPANSION OF RADIAL DISTRIBUTION SYSTEM

2018 ◽  
Vol 38 (4) ◽  
Author(s):  
Meena Kumari ◽  
Ved R. Singh ◽  
Rakesh Ranjan ◽  
Shubham Swapnil
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Contingency Analysis ◽  
Radial Distribution System ◽  
Multi Objective

scholarly journals Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 369
Author(s):  
Ishan Srivastava ◽  
Sunil Bhat ◽  
Agarala Ajaysekhar Reddy
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Normal Operation ◽  
Power Network ◽  
Nsga Ii ◽  
Radial Distribution System ◽  
Current Harmonics ◽  
Multi Objective ◽  
Service Restoration ◽  
Non Linear

Most of the power electronic components act as non-linear loads because they draw non- sinusoidal current from the power supply. Due to these non-linear loads, current harmonics are injected in the power network. For normal operation, any power network is equipped with provisions to keep the harmonics level to a minimum value. Whenever a fault occurs in the distribution system, the primary goal is to re-energize the healthy part of the network which got interrupted. It can be done by changing the topology of the network. This method is called as Service Restoration (SR). In this paper, a service restoration strategy is proposed when non-linear loads are present in the radial distribution system. Service restoration problem is formulated as a multi-objective, constrained optimization problem. Three new objectives are included to address the problem of harmonics injection by non-linear loads. Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) are used to find the optimal switching sequence for restoration. To test the effectiveness of the proposed methodology, IEEE 33 bus and IEEE 69 bus test systems are taken.

scholarly journals Multi objective Flower Pollination Algorithm for solving capacitor placement in radial distribution system using data structure load flow analysis

2016 ◽  
Vol 65 (2) ◽  
pp. 203-220 ◽  
Author(s):  
V. Tamilselvan ◽  
T. Jayabarathi
Keyword(s):  
Data Structure ◽  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Load Flow ◽  
Flower Pollination Algorithm ◽  
Radial Distribution System ◽  
Multi Objective ◽  
Flower Pollination ◽  
Reactive Current

Abstract The radial distribution system is a rugged system, it is also the most commonly used system, which suffers by loss and low voltage at the end bus. This loss can be reduced by the use of a capacitor in the system, which injects reactive current and also improves the voltage magnitude in the buses. The real power loss in the distribution line is the I2R loss which depends on the current and resistance. The connection of the capacitor in the bus reduces the reactive current and losses. The loss reduction is equal to the increase in generation, necessary for the electric power provided by firms. For consumers, the quality of power supply depends on the voltage magnitude level, which is also considered and hence the objective of the problem becomes the multi objective of loss minimization and the minimization of voltage deviation. In this paper, the optimal location and size of the capacitor is found using a new computational intelligent algorithm called Flower Pollination Algorithm (FPA). To calculate the power flow and losses in the system, novel data structure load flow is introduced. In this, each bus is considered as a node with bus associated data. Links between the nodes are distribution lines and their own resistance and reactance. To validate the developed FPA solutions standard test cases, IEEE 33 and IEEE 69 radial distribution systems are considered.

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