Mechanism Design for Fair and Efficient DSO Flexibility Markets

Electric vehicle charging optimization strategy based on the mopso algorithm

“…Considering the grid connection time of electric vehicles, this paper divides a day into 24 periods, and each electric vehicle will remain in the same charging state for a specific period of time [8]. To evaluate the effectiveness of the proposed charging scheduling optimization model, simulation experiments are conducted by using the multi-objective particle swarm optimization algorithm in MATLAB R2021a with the following parameter settings: The average battery capacity of the EV is 45 kWh, the EV charging power slow p and fast p are 3 kW• h and 7 kW• h, respectively, and the charging efficiency is designated as 0.9.…”

Correlated Equilibrium Power Flow in Distribution Networks Using Graphical Game Theory

“…This type of objective is relevant for use cases where the DSO is trying to constrict the curtailment of the worstoff node, such that no single node experiences uneven load curtailments to the benefit of the other nodes. This concept, related to max-min fairness, is discussed in [32] and applied in distribution systems in [33].…”

Coordination of specialised energy aggregators for balancing service provision

“…For example, small end-users may be unable to implement and manage the infrastructure needed to access DR options and, in general, have no specific knowledge on the market mechanisms involved in the provision of DR. Hence, the aggregator acts as an intermediate operator that avoids sending private information on the individual end users to the DR manager, in particular on costs [22]. Moreover, the aggregator benefits from managing a group of end-users which can together offer a smoother average power curve.…”