Abstract
In the electricity market environment, a reasonable market mechanism is demanding for guiding the behaviors of interruptible loads and flexible loads such as the charging loads of electric vehicles (EVs) to alleviate peak demands and system congestion. First, according to the response characteristics of different kinds of loads, the temperature controlled domestic loads are chosen as controllable loads. Besides, the EV charging demand and discharging power with the vehicle to grid (V2G) mode are considered as flexible loads. The demand response models of the controllable/EV demands are presented based on their thermal models/charging and discharging characteristics. Then, given the economic rationality of the retail agents (RAs) for interruptible and EV loads and the demand response models, RAs will formulate the initial bidding plans for the next trading day; the initial bidding plans will be verified by the distribution system operator, and an optimal power flow model will be employed to calculate congestion fees if applicable. Afterwards, the RAs will employ these congestion fees to reschedule and coordinate the domestic controllable loads and EV charging/discharging loads, given that the customers’ needs and constraints are properly respected. With the proposed market mechanism, the peak demands can be alleviated and distribution system congestion avoided to a great extent. Finally, the developed market mechanism, mathematical models and congestion management strategy are demonstrated through the modified IEEE 33-bus distribution system.
Translated title of the contribution | A Market Mechanism for Participation of Electric Vehicles and Disptachable Loads in Distribution System Congestion Management |
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Original language | Chinese |
Journal | Dianli Xitong Zidonghua |
Volume | 38 |
Issue number | 24 |
Pages (from-to) | 26-33 |
ISSN | 1000-1026 |
DOIs | |
Publication status | Published - 2014 |
Keywords
- Electricity market
- Congestion Management
- Distribution system
- Demand Response
- Electric vehicle