Lin Jiang

TL;DR: This paper proposes distributionally robust energy-reserve-storage co-dispatch model and method to facilitate the integration of variable and uncertain renewable energy and demonstrates the effectiveness and efficiency of the proposed method.

TL;DR: In this article, an EV aggregator bidding strategy in the day-ahead market (DAM) is proposed, both reserve capacity and reserve deployment are considered, and a scenario-based stochastic programming method is used to maximise the average aggregator profits based on one-year data.

TL;DR: A systematic analysis method is presented, a less conservative stability criterion is derived based on Lyapunov theory, and the application to an electric power market shows the practical significance of the reducing of the conservativeness.

TL;DR: In this article, a perturbation estimation based coordinated adaptive passive control (PECAPC) was proposed for complex, uncertain and interconnected multimachine power systems, in which the combinatorial effect of system uncertainties, unmodelled dynamics and external disturbances was aggregated into a perturbing term, and estimated online by a PO.

TL;DR: This paper proposes a data-driven affinely adjustable distributionally robust method for unit commitment considering uncertain load and renewable generation forecasting errors that minimizes expected total operation costs, including the costs of generation, reserve, wind curtailment, and load shedding, while guaranteeing the system security.