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AUTHOR(S): Amin Mohsenzadeh
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TITLE Transmission Congestion Management Considering EV Parking Lots and Demand Response Programs |
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ABSTRACT Transmission congestions are one of the key elements affecting spike price and local market power. Reducing the demand and increasing the generation in distribution network may lead to reliving the congestion of a transmission line. Plug-in Hybrid Electrical Vehicle (PHEVs) parking lots and Emergency Demand Response Programs (EDRP) are considered as two main options to manage the demand of a transmission bus. In this paper, a novel approach is proposed to determine the optimal capacity of EDRP and PHEV parking lots to relieve transmission congestion in a least-cost manner. The behavior of EDRP participants and available size of the parking lot are modeled. Genetic Algorithm (GA) with binary variables is employed to solve the non-linear optimization problem. Simulation is carried out on a 14-bus transmission network. Results demonstrate the optimal contribution of parking lots and EDRP has a significant effect on mitigating congestion and decreasing the cost of the system. |
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KEYWORDS Congestion management, EDRP, parking lot, Shift factor, Transmission system |
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Cite this paper Amin Mohsenzadeh. (2021) Transmission Congestion Management Considering EV Parking Lots and Demand Response Programs. International Journal of Power Systems, 6, 15-20 |
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