May 7, 2024
Reza Hemmati

Reza Hemmati

Academic rank: Professor
Address: Imam Khomeini Highway, Kermanshah, Iran, Postal Code: 6715685420
Education: Ph.D in Electrical power engineering
Phone: 083-38305001
Faculty: Faculty ofٍٍ Electrical Engineering

Research

Title
Resilience maximization through mobile battery storage and diesel DG in integrated electrical and heating networks
Type Article
Keywords
Combined heat and power; Mobile battery storage; Mobile diesel generator; Pricewise linearization; Resilience; Self-adequacy
Researchers Hasan Mehrjerdi، sajad mahdai kian، Reza Hemmati

Abstract

The purpose of this paper is to demonstrate the impacts of mobile battery and diesel DG in integrated electrical-heating networks for promoting the resilience, self-adequacy, load restoration, power quality as well as reducing the load shedding and operational cost. The case study is IEEE 33-bus electrical system with both the electrical and heating demands. Several buses of the grid are integrated with combined heat and power (CHP). The battery is moved between the buses hourly and the diesel DG is moved seasonally. The transfer time between origin and destination buses is considered in the given model. The electric network feeds three regions (i.e., three different loading patterns) including residential, industrial and agricultural areas where the major activity of the industrial loads is at night due to low energy price and the major activity of the agricultural loads is in the spring and summer. The outage of electricity and natural gas (NG) are two faults that are imposed on the network in order to evaluate the resilience and load restoration. The demand response program (DRP) is included in the model. Both the active and reactive powers are considered for battery, diesel DG and CHP. Several cases are simulated, studied and compared like fixed, mobile and mixed fixed-mobile locations for energy resources. The simulation results show that the proposed model reduces the total annual cost by 16.5% while the other costs such as purchased energy, NG and losses are reduced by 16.5%, 22.9% and 21.5%, respectively. The self-adequacy of network is increased by 2.5 h and the electrical-heating load restorations are increased by 36% and 38%, respectively.