International Journal of Applied Power Engineering (IJAPE)
Vol 13, No 2: June 2024

Cost optimization of electricity in energy storage system by dynamic programming

Mishra, Debani Prasad (Unknown)
Routray, Bhabesh (Unknown)
Pattanayak, Nitesh (Unknown)
Shekhar, Priyansu (Unknown)
Behera, Pratyus Ranjan (Unknown)
Salkuti, Surender Reddy (Unknown)



Article Info

Publish Date
01 Jun 2024

Abstract

This paper presents a dynamic programming solution for the cost optimization of an electric storage system. The objective is to minimize the total cost of meeting electricity demand over a specified time interval, considering energy constraints and costs. The proposed algorithm efficiently determines the optimal energy discharge and charge strategies for the storage system, resulting in reduced overall costs. The effectiveness and efficiency of the algorithm are demonstrated through various test cases, highlighting its potential for real-world applications in energy storage systems and electric grid management. It also provides an overview of different types of electrical storage systems, review recent research on optimization techniques for energy storage, and examines recent studies on the optimization of electrical storage systems for specific applications, such as peak load shaving and grid stability. Through this comprehensive analysis, we hope to shed light on the current state of the field and identify areas for further research and improvement.

Copyrights © 2024






Journal Info

Abbrev

IJAPE

Publisher

Subject

Electrical & Electronics Engineering

Description

International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in ...