TY - GEN
T1 - Estimation of ESS and DR Requirements Based on Stocastic Reliability Analysis
AU - Wu, Yi Syuan
AU - Liao, Jian Tang
AU - Yang, Hong Tzer
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology, Taiwan, under Grant MOST l09-3116-F-006-017-CC2.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Probabilistic models of renewable energy (RE) generation have been adopted to evaluate reliability indices using the Monte Carlo (MC) stochastic simulation method over the past years. However, with an increasing number of new energy sources injected into the future grid, the existing analysis methods are obsolete. This paper integrates the decision operating model of energy storage systems (ESS) and demand response (DR) behavior model into the existing probabilistic reliability analysis method. According to respective ESS owners, ESSs are divided into grid type and user type. Furthermore, the price-incentive DR load model is combined in the method to simulate consumer behaviors. The Taiwan Power system, which is an isolated grid with a 37 GW peak load and expected 20% RE penetration, is employed as a case study. According to the proposed method, the most suitable DR compensation price and ESS installed capacity are analyzed to decrease system investment and maintain system reliability in this paper.
AB - Probabilistic models of renewable energy (RE) generation have been adopted to evaluate reliability indices using the Monte Carlo (MC) stochastic simulation method over the past years. However, with an increasing number of new energy sources injected into the future grid, the existing analysis methods are obsolete. This paper integrates the decision operating model of energy storage systems (ESS) and demand response (DR) behavior model into the existing probabilistic reliability analysis method. According to respective ESS owners, ESSs are divided into grid type and user type. Furthermore, the price-incentive DR load model is combined in the method to simulate consumer behaviors. The Taiwan Power system, which is an isolated grid with a 37 GW peak load and expected 20% RE penetration, is employed as a case study. According to the proposed method, the most suitable DR compensation price and ESS installed capacity are analyzed to decrease system investment and maintain system reliability in this paper.
UR - https://www.scopus.com/pages/publications/85124140687
UR - https://www.scopus.com/pages/publications/85124140687#tab=citedBy
U2 - 10.1109/PESGM46819.2021.9638010
DO - 10.1109/PESGM46819.2021.9638010
M3 - Conference contribution
AN - SCOPUS:85124140687
T3 - IEEE Power and Energy Society General Meeting
BT - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
PB - IEEE Computer Society
T2 - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Y2 - 26 July 2021 through 29 July 2021
ER -