PROJECT TITLE :

Optimal Operation of Distributed Energy Storage Systems to Improve Distribution Network Load

ABSTRACT:

This study presents a technique for integrating battery energy storage systems (BESSs) into the utility grid in order to increase the utility's ability to host distributed generation (DG). For DNO-controlled BESS deployment, an effective technique for determining the best capacity and day-ahead operation strategy is offered. Two key aspects are taken into account: the price of the distribution system and the price of battery cycling in this multi-objective optimization technique. The advantages and disadvantages of BESS installations are analysed quantitatively, taking into account various service alternatives. First, voltage regulation; second, loss reduction; and third, peak reduction are all being researched as potential applications of BESS technology A comparison is made between the performance and advantages of using an optimised BESS to control only one service choice or several services at once. A broader scope of installation site effects on size, management approach, and service option is investigated further in the analysis. The results reveal that the network's load and DG hosting capacity may be effectively raised while achieving maximum operational and cost benefits through optimal integration of BESSs. The MATLAB interior-point technique was used to build this strategy. As part of the Perth Solar City Trial, simulations were run on the MV IEEE 33 bus system and the LV distribution network in Western Australia.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Reinforcement Learning-based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks ABSTRACT: In this paper, we investigate optimal trajectory planning for unmanned aerial vehicle (UAV)
PROJECT TITLE : PRIME: An Optimal Pricing Scheme for Mobile Sensors-as-a-Service ABSTRACT: In this article, we propose a pricing scheme for provisioning mobile Sensors-as-a-Service (mSe-aaS) in the mobile sensor-cloud (MSC) architecture.
PROJECT TITLE : Fast Globally Optimal Transmit Antenna Selection and Resource Allocation Scheme in mmWave D2D Networks ABSTRACT: The process of transmit antenna selection, abbreviated as TAS at base stations, has been the subject
PROJECT TITLE : Optimal Sensor Placement for Source Localization: A Unified ADMM Approach ABSTRACT: Source localization is an important part of many different applications, including radar, wireless communications, and communications
PROJECT TITLE : Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram ABSTRACT: In the field of machine learning, the multi-scale decision system, also known as MDS, is a useful tool for describing

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry