Integrated energy systems (IESs) have attracted wide attention as effective frameworks to develop efficient use of resources. Proactive preparedness is a sensible approach for integrated distribution networks (IDNs) propitiously cope with high-impact rare (HR) events. In this paper, resilient-constrained two-stage expansion planning methodology proposed the aim simultaneously optimal IDNs and r...

Optimal multistage expansion of medium-voltage power network because of load growth is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints, make it a combinatorial problem which should be solved by optimization algorithms. In this paper, a new improved hybrid Tabu Search/ Particle Swarm Optimization algorithm is proposed...

in recent years, significant research efforts have been devoted to the optimal planning of power systems. substation expansion planning (sep) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future demand. the large number of design variables, and combination of discrete ...

This paper presents a novel approach for electrical distribution network expansion planning using multi-objective particle swarm optimization (PSO). The optimization objectives are: investment and operation cost, energy losses cost, and power congestion cost. A two-phase multi-objective PSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guaran...

In this paper, static and expansion planning of electric power distribution networks were studied using a novel Particle Swarm Optimization (PSO) algorithm under load uncertainty is presented. This paper consists of two sections. At first by using a novel PSO algorithm, static and mono objective planning was solved for electric distribution network. This work involves both network topology and ...

In this paper, we address a strategic planning problem for a three-stage productiondistribution network. The problem under consideration is a singleitem, multi-supplier, multi-producer and multi-distributor production-distribution network with deterministic demand. The objective is to minimize the costs associated with production, transportation and inventory as well as capacity expansion costs...

We present a stochastic model for capacity-expansion planning of electricity distribution networks subject to uncertain demand (CEP). We formulate CEP as a multistage stochastic mixed-integer program with a scenario-tree representation of uncertainty. At each node of the scenario-tree, the model determines capacity-expansions, operating con guration, and power ows. A “super-arc” representation ...

In a carbon-constrained world, natural gas with low emission intensity plays an important role in the energy consumption area. Energy consumers and distribution networks are linked via energy hubs. Meanwhile, reconfiguration that optimizes operational performance while maintaining a radial network topology is a worldwide technique in the electricity distribution system. To improve the overall e...