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Electric Power Systems Research
journal homepage: www.elsevier.com/locate/epsr
Optimal protection coordination in the micro-grid including inverter-based
distributed generations and energy storage system with considering grid-
connected and islanded modes
Saeed Abrisham Foroushan Asl, Majid Gandomkar
⁎
, Javad Nikoukar
Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran
ARTICLE INFO
Keywords:
Dual setting overcurrent relay
Energy storage system
Fault current limiters
Optimal protection coordination
Renewable energy source
Grid-connected and islanded micro-grid
ABSTRACT
This paper presents the optimal protection coordination (OPC) to grid-connected and islanded micro-grid (MG)
consisting renewable energy sources (RESs), and energy storage system (ESS). The proposed approach considers
objective function as minimizing the total operation time of the dual setting overcurrent relays (DSORs) in
primary and backup protection mode. Problem constraints are the regulation parameters limits of the DSROs,
sizing limit of FCLs and also the coordination time interval (CTI) inequality. MG includes generally RESs and
ESS, hence, this problem needs to the daily optimal operation results of MG in both grid-connected and islanded
modes to obtain the network variables before the fault occurrence. Therefore, it is minimized the MG operation
and load shedding costs of islanded MG while it is constrained to MG optimal power flow equation in the
presence of RESs and ESS. The proposed OPC includes non-linear model, hence, this paper uses the crow search
algorithm (CSA) to obtain a reliable and optimal solution for this formulation. Finally, this strategy is im-
plemented on the 9-bus and 32-bus MGs, thus, it can obtain the high quick protective solution for these MGs by
selecting optimal regulation parameters and sizing to DSORs and FCLs, respectively, according to numerical
results.
1. Introduction
Network protection in the fault condition is a fundamental re-
quirement in the power system especially in the distribution network
that is included more than 80% of the occurred outage in the power
grid [1,2]. The suitable protection formwork must be able to disconnect
part of the network that has faulted at the shortest possible time by
coordinating between protective devices such as relays and fault cur-
rent limiters (FCLs) [3]. Moreover, noted that the distribution network
is recently included several micro-grids (MG) due to the presence of the
new technologies such as renewable energy sources (RESs), energy
storage system (ESS), etc. In this network, where each MG is a multi-
direction supply network that is operated in the grid-connected and
islanded modes [4]. Hence, the dual setting overcurrent relay (DSOR)
plays a significant role in the fault condition for the MGs, where it is
able to operate in both forward and reverse directions with different
setting, and with a low bandwidth communication to maintain proper
protection coordination [5]. Also, the traditional optimal protection
coordination (OPC) is not suitable in this condition because it is de-
signed for single-direction supply network [6]. Therefore, this paper
presents the OPC for multi-direction supply MG that is considered in the
grid-connected and islanded modes and containing RESs and ESS to
obtain optimal value for DSRO regulation parameters and FCL sizing.
There are many researches about the OPC in the distribution net-
work and MG, so that the authors of [7] have expressed this strategy for
MG to optimally set the dual setting directional overcurrent relays.
Also, the cuckoo-linear optimization algorithm is used for the OPC in
the [8] to obtain optimal value for the setting parameters of the DSORs
and FCL capacity, and it has coordinated all the double-inverse over-
current relays in the distribution network based on the proposed
strategy in [9] to achieve the quick protective solution at the fault
condition. Moreover, the stability index is investigated in [10] for this
method and N – 1 contingency-based security index is considered for
the OPC problem in [11]. Generally, this strategy is modeled as non-
linear programming (NLP), hence, the authors of [12–15] have solved
this problem with the genetic algorithm, fuzzy-based genetic algorithm,
multi-objective particle swarm optimization (MOPSO) according to
fuzzy decision-making tool (FDMT), adaptive modified firefly algorithm
(AMFA), respectively. In addition, noted that the OPC formwork in the
network that is included distributed generations (DGs) is different from
https://doi.org/10.1016/j.epsr.2020.106317
Received 21 December 2019; Accepted 6 March 2020
⁎
Corresponding author.
E-mail addresses: saeed.abrisham@stu.iau-saveh.ac.ir (S.A.F. Asl), gandomkar@iau-saveh.ac.ir (M. Gandomkar), j.nikoukar@iau-saveh.ac.ir (J. Nikoukar).
Electric Power Systems Research 184 (2020) 106317
Available online 30 March 2020
0378-7796/ © 2020 Elsevier B.V. All rights reserved.
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