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119 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
Impact of Distributed Generation on System Stability using PV
Curve
Shraddha Sureshkumar Dhoot Ravishankar Kankale
ME (EPS)- Student Assistant Professor
SSGMCE, Shegaon SSGMCE, Shegaon
SGBAU SGBAU
Abstract – There has been growing concern in
distribution system regarding impacts of distributed
generation (DG) specifically on voltage stability. The key
purpose of this paper is to estimate the voltage stability
of power systems with increased level of distributed
generation resources based on PV curve. In this
technique, the stability of power systems is evaluated
with increased penetration level of distributed generation
resources. The ultimate objective of this paper is
studying the impacts of DG units under diverse
Penetration level on few problems such as voltage
stability, voltage profile, power flow and PV curve for
each bus. In this paper IEEE 14 bus system is simulated
in PSCAD and load flow is done in MATLAB
Index Terms - distributed generation(DG),voltage
stability, PV curve, penetration level.
I. INTRODUCTION
In the recent past, one of the problems that received
wide attention among utilities is the voltage
instability [2]. The integration of distributed
generation (DG) to power system networks has
quickly increased from renewable- energy sources.
This increase can be clarified by elements such as
environmental concerns, the growth of electricity
businesses, the advance of technologies, goals
related to emission reduction, energy independence,
improved infrastructure reliability and so on [3].
The voltage stability of a DG integrated grid
usually depends on the capacity, the control
strategies and the interconnected locations of the
DGs [5]. DG units have a small size compared to
central power plants so the impact is slight if the
penetration level is low (1%- 5%). If the
penetration level of DG is increased to 20%-30% of
the level, the impact of DG units will be deep [8].
The energy structure of the grid will change if DG
penetration increases it affects the grid voltage,
power quality and the operational planning [3],
among which voltage stability problem is an
important aspect. The voltage stability is concerned
with the capability of a power system to sustain
suitable voltages at all nodes in the system under
normal condition and after being subject to a
disturbance. Careful engineering can eliminate
these adverse impacts that DG penetration could
impress on the electric delivery system [4]. We say
power system has a state of voltage instability when
a disturbance causes a progressive and un-
controllable decrease in voltage level. The size, the
technology and the placement of DG play an
important role in the operation of distribution
systems. For long-term voltage stability analysis,
bus-based voltage indices are implemented using
Power-Voltage curves (PV curves) to analyze the
contribution of DG.
II. VOLTAGE STABILITY
Fig. 1 shows a typical PV curve. Voltage stability
problems mainly occur when the system is heavily
stressed beyond its capability. While the
disturbance leading to voltage collapse may be
initiated by a variety of causes, the main problem is
the inherent weakness in the power system. Mostly,
the P-V curves are used in order to forecast the
voltage security. P-V curves are most considerable
method to find active power margin and are used to
determine the loading margin of a power system.
The load of power system is gradually increased
and at each increment it is necessary to recomputed
power flows until the nose of the PV curve is
reached [6].
120 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
Fig. 1 PV Curve
They are obtained by applying a continuous
power flow method [6]. The critical point Pmax in
the P-V curve represents the maximum loading of a
system. The stability margin is defined as the MW
distant from the operating point to the critical point.
The penetration of the DG units in a distributed
system may increase or decrease the voltage
stability margin subject on their operation at unity,
lead or lag power factors [3].
III. SELECTION OF THE CANDIDATE BUSES
The buses for DG installation can be selected by
calculating voltage stability indices. The base
which has the lowest voltage (sensitive base to the
voltage stability) is selected as candidate bus. Since
this study is focusing on improving the voltage
stability of the system, it uses voltage sensitivity
analysis to select the buses. Additionally, it should
be located in the main feeders of the system. The
method is conducted by testing the voltage
sensitivity to the change of the DG injected power.
The DG units are then modelled as PQ buses, since
they are not used to control the system voltage [2].
In this case, it can be used to study the impact of
the DG units on voltage stability, voltage profile,
power flow and P-V curve.
IV. SYSTEM UNDER STUDY
IEEE standard 14 bus system is taken as system
under study, its single line diagram is as shown in
Fig. 2. It consists of 14 buses, 20 branches, 2
generation buses, 3 compensator, 11 load buses,
total generation of 272.4 MW and 78.5 MVAR,
total load of 259MW and 73.5 MVAR.
Fig. 2 Single line diagram of the IEEE 14-bus
system.
V. RESULTS
In this paper first we draw PV curves by simulating
the system in PSCAD 4.2.0. and then again we
draw them using continuation power flow CPF by
using MATLAB Here two cases are considered (a)
without DG (b) with DG.
1. PSCAD RESULTS:
The voltage of bus is monitored by varying the load
connected on the bus for both the cases and PV
curves are drawn for the same. Fig. 3 Simulation of
IEEE 14 bus Test system model during Normal
condition in PSCAD. Following are the PV curves
plotted in PSCAD.
Fig. 3 Simulation of IEEE 14 bus Test system
model during Normal condition in PSCAD
121 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
Fig. 4 PV curve of bus 4 without dg (blue curve)
and with DG of (a)2MW (green curve) and
(b)5MW (red curve
Fig. 5 PV curve of bus 5 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
Fig. 6 PV curve of bus 11 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
Fig. 7 PV curve of bus 12 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve
Fig. 8 PV curve of bus 13 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
Fig. 9 PV curve of bus 14 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
122 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
Fig.10 PV curves of all 14 buses without DG in
PSCAD
Fig. 11 PV curves of all 14 buses with DG of
2MW connected in PSCAD
Fig. 12 PV curves of all 14 buses with DG of
5MW connected in PSCAD
Fig. 13 PV curve of bus 8 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
Fig. 14 PV curve of bus 9 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
Fig. 15 PV curve of bus 10 without dg (blue curve)
and with DG (a)2MW (green curve) and (b)5MW
(red curve)
2. MATLAB RESULTS:
Continuation power flow method is used to plot PV
curve in MATLAB. The general principle behind
the continuation power flow is quite simple. It
works on a predictor-corrector scheme to find a
solution path. It adopts locally parameterized
continuation technique. It comprises load
123 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
parameter, step length for load parameter and state
variable. Continuation power flow finds successive
load flow solutions according to a load scenario.
From a known base solution, a tangent predictor is
used so as to estimate next solution for a specified
pattern of load increase. The corrector step then
governs the exact solution using Newton-Raphson
technique employed by a conventional power flow.
After that a new prediction is made for a definite
increase in load based upon the new tangent vector.
Then corrector step is applied. This process goes
until critical point is extended. The critical point is
the point where the value of tangent vector is zero.
Fig. 16 PV curve of all the 14 bus without DG in
MATLAB using continuation power flow method
Fig. 17 PV curve of all the 14 bus with 50% DG in
MATLAB using continuation power flow method
VI CONCLUSION
This paper work emphases on analysing voltage
stability, voltage profile, power flow and the P-V
curve of a system with integrate DG. From the
above Fig. no 4 to Fig. no 12, it can be clearly seen
that the voltage stability of the buses has been
improved whereas it is decreased for bus 8, 9 and
10 refer fig.13, 14 and 15. The simulation results
designate the maximum penetration level of the
wind turbine units is commended to be placed in
the most sensitive voltage buses in order to improve
the voltage stability margin. As we go on increasing
the DG, loadability increases. So, voltage profile of
the buses may increase or decrease depending upon
the placement, size and technology used. The
technique for continuous load flow has been
applied to determine the PV curves of the 14- node
IEEE test system, and it has been shown that a
4.545% load increment can lead to the instability of
the system, and it also has been determined that the
node 14 is the weakest node of the system.
Table I: Impact of DG on maximum loading point
DG %
Lodability
(predictor)
Lodability
(corrector)
0% 4.05 4.043
10% 4.418 4.408
20% 4.418 4.408
30% 4.507 4.494
40% 4.55 4.537
50% 4.566 4.545
60% 4.545 4.53
70% 4.507 4.492
80% 3.765 3.765
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124 Shraddha Sureshkumar Dhoot, Ravishankar Kankale
International Journal of Electronics, Electrical and Computational System
IJEECS
ISSN 2348-117X
Volume 6, Issue 1
January 2017
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