Optimal Battery Energy Storage Placement in Highly PV - Penetrated Distribution Networks Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC...

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Optimal Battery Energy Storage Placement in Highly PV - Penetrated Distribution Networks Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC from IEEE Xplore. Restrictions apply. Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC from IEEE Xplore. Restrictions apply. Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC from IEEE Xplore. Restrictions apply. Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC from IEEE Xplore. Restrictions apply. Authorized licensed use limited to: CALIFORNIA STATE UNIVERSITY LA. Downloaded on April 29,2021 at 16:31:39 UTC from IEEE Xplore. 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optimalbatteryenergystorageplacementinhighlypvpenetrateddistributionnetworks-0inukfu1.pdf
Answered 3 days AfterMay 01, 2021

Answer To: Optimal Battery Energy Storage Placement in Highly PV - Penetrated Distribution Networks Authorized...

Joice G answered on May 05 2021
141 Votes
INTRODUCTION
The penetration of Renewable Energy Sources (RES) is steadily increasing due to its ability to provide free clean and environment-friendly energy at reduced costs. Further, it minimizes the power losses and reduces the requirement of infrastructure expansion in generation and transmission as the power is produced on the load side. However, the integration of RES into the power grid creates some challenges like power quality issues and affects the voltage regulation of the power system. Moreover, the output of RES like solar photovoltaic (PV) system and wind power varies continuously which adversely influences the reliability and stability of the power system. The undesirable effects of these issues can be reduced through the introduction of Battery Energy Storage Systems (BESS) provided they are optimally placed in the distribution network (DN). Therefore, finding the optimal location of ESS is one of the challenging research problems in this area [1, 2, 3, 4]. Different approaches like harmony search algorithm [5], mathematical optimization models [6], Genetic Algorithm [7, 8] are utilized for effectively integrating BESS into the power grid along with the minimization of total electricity cost. 
This work proposes a Genetic Algorithm (GA) based model for optimally allocating the BESS in the distribution network with high PV penetration such that the power losses occurring in the system are minimized. The proposed model is tested using the IEEE 33 bus system and different case studies are conducted for the optimal allocation of aggregated and distributed BESS. A detailed description of this model is given in the following section.
METHODOLOGY
A simple distribution network with loads, PVs and BESS is shown in fig. 1. The models of these systems are given in the following subsections.
Figure 1: Simple distribution network with PV and BESS
The objective of this work is to obtain the optimal allocation of BESS such that power loss is minimized. As this is an optimization problem, the objective is the minimization of power losses. This is mathematically represented as
Subject to
Here, and represent the voltage between and . and represent their respective voltage angles. is the conductance between buses and . is the total number of branches in the network and is the apparent power.
The models of load, photovoltaic and BESS are described in the following...
SOLUTION.PDF
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