dc.contributor.advisor |
Hemapala KTMU |
|
dc.contributor.author |
Lakmali RMT |
|
dc.date.accessioned |
2022 |
|
dc.date.available |
2022 |
|
dc.date.issued |
2022 |
|
dc.identifier.citation |
Lakmali, R.M.T. (2022). An Optimal power flow algorithm to reduce power loss by placement of DG in distribution system [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20087 |
|
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/20087 |
|
dc.description.abstract |
Distributed generation is a small-scale and renewable-based energy source (ex: solar/ wind/
biomass) near to loads in distribution networks. It is becoming more prominent in the present
world due to incremental demands for electricity. The integration of DGs in the distribution
system issprofitable, loss reduction and voltage-profile improvement if it is optimally sized
and optimally placed. Research work included in this thesis focuses on using aneoptimization
methodology for identifying the most appropriate locationaand size ofaDG.
Initially, detailed study of optimal DG planning was carried regarding objective functions,
constraints, load and design variables, and mathematical approaches. In this dissertation, a
novel combined methodology for optimal DG planning is presented by Newton Raphson’s
(NR) power-flow solution andeoptimization algorithm named ParticleeSwarm
Optimization(PSO). A multi-objective function has been modified by considering real and
reactive power loss minimization and cost minimization to attainethe optimal size and optimal
location of DGs. Moreover, voltage-profile improvement and power systemestability
improvements are obtained.
The performance of theeproposed methodology is testedron the IEEE-30 busesystem and
program is developed and simulated from MATLAB software. Two types of DGs are
evaluated using the proposed model which is called a single DG source delivering only realpower
and a single DG source delivering both realeand reactiveapower. The methoddis
executed on the same 30-test bus systemefor different weighting factors.
Resultsain theatest bus systemashow the effectiveness of the developed mathematical model
with higher power loss reduction and cost reduction percentages.
Furthermore, the proposed methodology is applied to select two distribution feeders in Sri
Lanka with time-varying loads to allocate solar PV and biomass as DGs. In order to have a
techno-economic solution for optimal size of DG and best location, the proposed algorithm
can be used on any MV distribution feeder providing relevant line and load details. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
OPTIMAL SIZE OF DG |
en_US |
dc.subject |
MULTI OBJECTIVE FUNCTION |
en_US |
dc.subject |
POWER LOSS REDUCTION |
en_US |
dc.subject |
COST REDUCTION |
en_US |
dc.subject |
PARTICLE SWARM OPTIMIZATION (PSO) |
en_US |
dc.subject |
MV DISTRIBUTION SYSTEM |
en_US |
dc.subject |
NEWTON RAPHSON (NR) |
en_US |
dc.subject |
BEST LOCATION |
en_US |
dc.subject |
MATLAB |
en_US |
dc.subject |
ELECTRICAL ENGINEERING - Dissertation |
en_US |
dc.title |
An Optimal power flow algorithm to reduce power loss by placement of DG in distribution system |
en_US |
dc.type |
Thesis-Abstract |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc in Electrical Engineering |
en_US |
dc.identifier.department |
Department of Electrical Engineering |
en_US |
dc.date.accept |
2022 |
|
dc.identifier.accno |
TH4760 |
en_US |