Smart grids offer opportunity to the customers to take part actively in the electric markets. As a one type of distributed energy storage, plug-in electric vehicle (PEV) is highly expected to play a vital role for emergency reliability services due to rapid development in the vehicle-to-grid (V2G) technology. With the emerging trends, vehicle-to-grid technology offer electric vehicles (EVs) to participate in different ancillary services under competitive electric market. EVs provide an opportunity to grow new products and services for grid management. Particularly, EVs, which is a new form of distributed energy storage, can be used to compensate the uncontracted power in the local area if the contracts between the market players are violated. On the other hand, EVs are gaining popularity because of reduced dependence on petrol and greenhouse emissions thus contribute to clean environment. Load Frequency Control (LFC) of multiarea consisting of, thermal, wind, solar and battery units in integration with discharged EV fleets are evaluated under deregulated environment. The developed model is equipped with realistic parameters such as GRC, GDB for thermal system and open communication links. Particle Swarm Optimization is employed under such scenario to find the optimal gain value of PID to find the Integral of time multiplied absolute error. Design Details:
Result Evaluations:
Reference Paper-1: Antlion Optimizer-ANFIS Load Frequency Control for Multi-Interconnected Plants Comprising Photovoltaic and Wind Turbine Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by whatsapp or sales@verilogcourseteam.com, fee applicable. SIMULATION VIDEO DEMO
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