Optimal Scheduling of Active Distribution Networks With Limited Switching Operations Using Mixed-Integer Dynamic Optimization

A Novel Parametric benchmark generator for dynamic multimodal optimization

“…An optimization method that can efficiently deal with the dynamic nature of these problems should be able to rapidly find the optimal solutions after the change. Since many real-world problems are dynamic, the field of dynamic optimization has gained much interest in the recent decade [1,2] and many dynamic optimization methods have been applied to practical problems, such as optimal control of time-varying systems [3,4], mission planning [5], vehicle routing [6,7], and scheduling [8].…”

Reliability evaluation of active distribution network considering various active adjustment means

“…Active distribution network (ADN) which could provide safe, economical, reliable and efficient power supply has gained extensive attention due to the widespread implementation of distributed generation (DG), flexible load (FL) and distribution automation in the distribution network [1][2][3][4]. The integration of various active adjustment means have changed the traditional operation mode of distribution network, and brought significant impacts on the reliability evaluation of distribution network meanwhile [5][6][7][8].…”

Optimal Strategy of Active Distribution Network Considering Source–Network–Load

“…When it comes to the coordinated optimisation of the source–network–load, an economic scheduling method of source–network–load multi‐layer game based on game theory is proposed in [24], which takes the minimum generation cost, minimum network loss, and the maximum voltage deviation as the objectives. Deng et al [25] present a mixed‐integer dynamic optimisation model for the optimal scheduling of ADNs with the objective of minimising the daily costs of electricity purchased from distribution substations. Esmaeili et al [26] develop a framework for operational model of distribution systems with dynamic reconfiguration considering coordinated integration of energy storage systems and demand response programmes to minimise the total costs including cost of total loss, switching cost, cost of bilateral contract with power generation owners and responsive loads (RLs), and cost of exchanging power with the wholesale market.…”