Model predictive control based power system operation planning of grid connected high share renewable energy

Author(s):  
Ahmed A. Shetaya ◽  
Amr M. A. Amin ◽  
Omar H. Abdalla
2011 ◽  
Vol 131 (8) ◽  
pp. 670-676 ◽  
Author(s):  
Naoto Yorino ◽  
Yutaka Sasaki ◽  
Shoki Fujita ◽  
Yoshifumi Zoka ◽  
Yoshiharu Okumoto

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7577
Author(s):  
Ryosuke Kataoka ◽  
Kazuhiko Ogimoto ◽  
Yumiko Iwafune

Regulating the frequencies of power grids by controlling electric vehicle charging and discharging, known as vehicle-to-grid (V2G) ancillary services, is a promising and profitable means of providing flexibility that integrates variable renewable energy (VRE) into traditional power systems. However, the ancillary services market is a niche, and the scale, saturation, and time-dependency are unclear when assuming future changes in the power system structure. We studied the marginal value of V2G ancillary services as a balancing capacity of the power system operation on the load-frequency control (LFC) timescale and evaluated the reasonable maximum capacity of the LFC provided by V2G. As a case study, we assumed that the Japanese power system would be used under various VRE penetration scenarios and considered the limited availability time of V2G, based on the daily commuter cycle. The power system operation was modeled by considering pumped storage, interconnection lines, and thermal power–partial load operations. The results show that the marginal value of V2G was greater during the daytime than overnight, and the maximum cost saving (USD 705.6/EV/year) occurred during the daytime under the high-VRE scenario. Improving the value and size of V2G ancillary services required coordination with energy storage and excess VRE generation.


Energy ◽  
2014 ◽  
Vol 74 ◽  
pp. 12-26 ◽  
Author(s):  
Aldo Bischi ◽  
Leonardo Taccari ◽  
Emanuele Martelli ◽  
Edoardo Amaldi ◽  
Giampaolo Manzolini ◽  
...  

2015 ◽  
Vol 30 (3) ◽  
pp. 1359-1368 ◽  
Author(s):  
Michael Negnevitsky ◽  
Dinh Hieu Nguyen ◽  
Marian Piekutowski

AIMS Energy ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1241-1259
Author(s):  
Lei Liu ◽  
◽  
Takeyoshi Kato ◽  
Paras Mandal ◽  
Alexey Mikhaylov ◽  
...  

<abstract><p>This work presents a load frequency control scheme in Renewable Energy Sources(RESs) power system by applying Model Predictive Control(MPC). The MPC is designed depending on the first model parameter and then investigate its performance on the second model to confirm its robustness and effectiveness over a wide range of operating conditions. The first model is 100% RESs system with Photovoltaic generation(PV), wind generation(WG), fuel cell, seawater electrolyzer, and storage battery. From the simulation results of the first case, it shows the control scheme is efficiency. And base on the good results of the first case study, to propose a second case using a 10-bus power system of Okinawa island, Japan, to verify the efficiency of proposed MPC control scheme again. In addition, in the second case, there also applied storage devices, demand-response technique and RESs output control to compensate the system frequency balance. Last, there have a detailed results analysis to compare the two cases simulation results, and then to Prospects for future research. All the simulations of this work are performed in Matlab®/Simulink®.</p></abstract>


2019 ◽  
pp. 1-26
Author(s):  
Ricardo Bessa ◽  
Carlos Moreira ◽  
Bernardo Silva ◽  
Manuel Matos

Sign in / Sign up

Export Citation Format

Share Document