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Content Provider | IET Digital Library |
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Author | Barik, Soumyabrata Das, Debapriya |
Abstract | This study presents the uncertainty analysis of a distribution network (DNR) caused by unit power output control (UPC) distributed generations (DGs) (solar, wind) and load demand by point estimate method (PEM) based on mixed-discrete-based particle swarm optimisation (MDPSO) technique. The uncertainties are taken care by the feeder flow control (FFC) DGs which make the DNR power independent of the main grid, which means the DNR does not exchange any power with the main grid at any load level. To analyse the situation, the load flow technique is modified with introducing P Q V δ and zero bus in the system. 2 m + 1 and the higher-order PEM methods are applied in this study for uncertainty analysis. The FFC and the UPC DGs are placed and sized by the MDPSO algorithm. The uncertainty analysis of the system is done based on different objective functions and test cases which are the combinations of active power loss, voltage deviation, and the DG operation cost. The proposed method is applied to the 69-bus DNR, and the results are compared with teaching learning-based meta-heuristic optimisation method. The cumulative distribution function and probability density function of the output random variable are approximate with Gram–Charlier expansion method. |
Starting Page | 1431 |
Ending Page | 1445 |
Page Count | 15 |
ISSN | 17521416 |
Volume Number | 13 |
e-ISSN | 17521424 |
Issue Number | Issue 9, Jul (2019) |
Journal | IET Renewable Power Generation |
Publisher Date | 2019-03-12 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | 69-bus DNR Active Power Loss Control of Electric Power System Cumulative Distribution Function Distributed Power Generation Distribution Network DNR Power Feeder Flow Control DGs FFC Distributed Generation Gram–Charlier Expansion Method Higher-order PEM Method Load Demand Load Flow Control Load Flow Technique Load Level Load Uncertainties Main Grid MDPSO Technique Mixed-discrete Particle Swarm-based Point Estimation Method Mixed-discrete-based Particle Swarm Optimisation Technique Objective Function Optimisation Technique Particle Swarm Optimisation Point Estimate Method Power Distribution Control Power System Control Probability Probability Density Function Renewable Uncertainties Statistics Teaching Learning-based Meta-heuristic Optimisation Method Uncertainty Analysis Unit Power Output Control DGs UPC DGs |
Content Type | Text |
Resource Type | Article |
Subject | Renewable Energy, Sustainability and the Environment |
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