Multi‐objective design method for construction of multi‐microgrid systems in active distribution networks

Abstract

One of the important issues in the planning stage of active distribution networks (ADNs) is the optimal design of microgrids (MGs). The design, as a multi-MG system, is comprehensively investigated in this study. In this way, the allocation of energy storage systems (ESSs) and partitioning of ADN are simultaneously performed in order to minimise the cost and maximise the self-adequacy and the reliability considering the uncertainty of load and renewable energy resources. In this study, two approaches are considered. In approach I, the cost, reliability and self-adequacy objectives are taken into account whereas, in approach II, a new probabilistic index representing the ratio of load to storage capacity is also added to mentioned objectives. The proposed multi-objective problem is solved with non-dominated sorting genetic algorithm-II (NSGA-II) as a well-known algorithm based on a probabilistic approach using the Monte-Carlo simulation method (MCSM) and in each approach, several Pareto optimal solutions are evaluated. To simulate and validate the effectiveness of the proposed method, two benchmark distribution networks (the 33-bus and the 119-bus) are used.

Consensus‐based operational framework for self‐healing in multi‐microgrid systems

“…In order to demonstrate the effectiveness of the proposed approaches, two benchmark cases have been employed: the 33-bus and the 119-bus distribution networks. Both of these systems, according to our previous paper [7], have become the MMG systems. Also, the optimal ESSs allocation in these systems is done in our previous work.…”

“…Also, MGs enable an effective framework for introducing distributed control and power management abilities in distribution networks, which can be used to distribute the decision-making manner in the networks. In our last study [7], the MMG system was designed and in this article, the assessment of the designed MMG system in terms of selfhealing is presented. In the previous paper [7], a set of goals are proposed for designing the MMG by considering system reliability, self-adequacy and, operation costs-related aspects.…”

“…In our last study [7], the MMG system was designed and in this article, the assessment of the designed MMG system in terms of selfhealing is presented. In the previous paper [7], a set of goals are proposed for designing the MMG by considering system reliability, self-adequacy and, operation costs-related aspects. According to recent studies in [8][9][10], MMG can further enhance the system operation due to the prominent features of interconnected MGs such as interactive support and exchange.…”

“…Modified 33-bus distribution network partitioned into MGs[7] Daily load curve of distribution network -case 1…”

Improving primary frequency response in networked microgrid operations using multilayer perceptron‐driven reinforcement learning

“…Individual microgrids offer resilience benefits when they can serve electricity demand during a bulk power system outage following extreme events [2][3][4][5][6][7]. The benefits of individual microgrids can be expanded by interconnecting multiple microgrids to share resources, especially if the bulk power system is unavailable for an extended period [8,9].…”