Optimal Operation and Management of Smart Grid System with LPC and BESS in Fault Conditions
| Autor: | Ahmad Samim Noorzad, Cirio Celestino Muarapaz, Atsushi Yona, Ryuto Shigenobu, Tomonobu Senjyu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
020209 energy media_common.quotation_subject Geography Planning and Development TJ807-830 02 engineering and technology Management Monitoring Policy and Law TD194-195 Inertia voltage control distributed generator battery energy storage system reverse power flow loop power flow controller fault analysis renewable energy source active smart grid adaptive inertia weight particle swarm optimization Renewable energy sources Scheduling (computing) Control theory 0202 electrical engineering electronic engineering information engineering GE1-350 media_common Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Control reconfiguration Particle swarm optimization Control engineering Renewable energy Environmental sciences Smart grid Interfacing business Voltage |
| Zdroj: | Sustainability; Volume 8; Issue 12; Pages: 1282 Sustainability, Vol 8, Iss 12, p 1282 (2016) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su8121282 |
| Popis: | Distributed generators (DG) using renewable energy sources (RESs) have been attracting special attention within distribution systems. However, a large amount of DG penetration causes voltage deviation and reverse power flow in the smart grid. Therefore, the smart grid needs a solution for voltage control, power flow control and power outage prevention. This paper proposes a decision technique of optimal reference scheduling for a battery energy storage system (BESS), inverters interfacing with a DG and voltage control devices for optimal operation. Moreover, the reconfiguration of the distribution system is made possible by the installation of a loop power flow controller (LPC). Two separate simulations are provided to maintain the reliability in the stable power supply and economical aspects. First, the effectiveness of the smart grid with installed BESS or LPC devices is demonstrated in fault situations. Second, the active smart grid using LCPs is proposed. Real-time techniques of the dual scheduling algorithm are applied to the system. The aforementioned control objective is formulated and solved using the particle swarm optimization (PSO) algorithm with an adaptive inertia weight (AIW) function. The effectiveness of the optimal operation in ordinal and fault situations is verified by numerical simulations. |
| Databáze: | OpenAIRE |
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