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Day-ahead market participation of an active distribution network equipped with small-scale compressed air energy storage systems
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01-20)
Large-scale compressed air energy storage (CAES) is conventionally used in power systems. However, application of CAESs at the distribution level is limited because of differences in design and efficiency. On the other ...
Reinforcement learning method for plug-in electric vehicle bidding
(Institution of Engineering and Technology (IET), 2019-12-02)
This study proposes a novel multi-agent method for electric vehicle (EV) owners who will take part in the electricity market. Each EV is considered as an agent, and all the EVs have vehicle-to-grid capability. These agents ...
An integrated optimization framework for combined heat and power units, distributed generation and plug-in electric vehicles
This paper provides a six-level integrated optimization framework for a distribution system that transacts energy with upward electricity market and downward active microgrids in day-ahead and real-time horizons. The ...
Optimal day-ahead scheduling and operation of the prosumer by considering corrective actions based on very short-term load forecasting
Energy management systems (EMSs) play an important role in the optimal operation of prosumers. As an essential segment of each EMS, the load forecasting (LF) block enhances the optimal utilization of renewable energy sources ...
Co-operation of electricity and natural gas systems including electric vehicles and variable renewable energy sources based on a continuous-time model approach
This paper proposes a stochastic framework to augment the integration of variable renewable energy sources (VRESs) in power system scheduling. In this way, the fast-response capability of gas-fired generator units (GFGUs) ...
A stochastic short-term scheduling of virtual power plants with electric vehicles under competitive markets
This paper presents a risk-averse stochastic framework for short-term scheduling of virtual power plants (VPPs) in a competitive environment considering the potential of activating electric vehicles (EVs) and smart buildings ...