Probabilistic–possibilistic model for a parking lot in the smart distribution network expansion planning

Data clustering based probabilistic optimal power flow in power systems

“…In the end, because of the importance of fast and reliable probabilistic evaluation methods, more fast and reliable methods are suggested to be used, in this study. For example, the Z number method [27] can be used as a probabilistic analysis tool for this optimisation problem.…”

Multi‐objective optimal provision of fast frequency response from EV clusters

“…In this paper, NSGA-II is used to find the Pareto-optimal front of multiple objective functions. NSGA-II has been used extensively in the literature as it is one of the most computationally efficient multi-objective optimisation algorithms available [25], [26]. Among the advantages of using an evolutionary algorithm to perform a multi-objective optimisation is that these kinds of algorithms naturally handle multiple solutions per iteration, and each iteration produces multiple trade-off solutions.…”

Probabilistic–proactive distribution network scheduling against a hurricane as a high impact–low probability event considering chaos theory

“…The charging/discharging power constraints are indicated as Equations ( 28) and (29). Limitation (30) relates to SOC constraints.…”

“…In [25], a hardware‐based and real‐time simulation approach is introduced for special cooperation of renewable energy sources (RESs) in active distribution networks with a high concentration on the resiliency. On the other hands, some system variables have uncertainties that should be accurately modelled by an appropriate methodology such as the information gap decision theory [26], possibilistic [27], probabilistic [28] and hybrid probabilistic–possibilistic methods [29]. The mentioned matter is not concentrated in the most reviewed references.…”