Hosting Capacity Analysis: A Review and a New Evaluation Method in Case of Parameters Uncertainty and Multi-Generator

Abstract

The rapid growth of distributed energy resources exploitation can cause voltage violations and overloading on distribution grids due to the uncontrolled and unprogrammable power injections associated with dispersed generators. To overcome these issues, distributed system operators have to evaluate the maximum generation that can be hosted by distribution grids without violating the technical constraints and find the ways to increase it. In this paper, different hosting capacity analyses for different case studies have been reviewed, and a novel model to evaluate hosting capacity in case of grid parameters uncertainties and multi-generator connection is proposed.

Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques

“…The process of local voltage control can be done by power factor control of DG or by OLTC. The studies in Mina Mirbagheri et al 97 compared the scenarios of no OLTC, five taps on OLTC, and nine taps on OLTC. The results demonstrated HC can be increased from 50% to 100%.…”

“…Curtailment of DG sources includes a reduction in the output power of some specific resources at the time of need. Using DG curtailment, HC can be controlled if the performance indices' limits get exceeded, and the remaining energy production will be curtailed 97 . Using the curtailment technique will enable utility systems to install a large capacity of distributed energy resources.…”

“…Using DG curtailment, HC can be controlled if the performance indices' limits get exceeded, and the remaining energy production will be curtailed. 97 Using the curtailment technique will enable utility systems to install a large capacity of distributed energy resources. But one thing to be kept in mind is that during curtailment the energy is still produced by the sources but only as much permissible by HC limits.…”

Feasible operation region of an electricity distribution network

“…An alternative way is to consider the maximum total hosting capacity of all candidate locations [2,[4][5][6]. In these methods, Monte Carlo simulation methods are usually used [7][8][9]. However, neither enough representative DG deployment, nor enough cases of power generation/loading conditions can be generated (even if using Monte Carlo simulation) because of the curse of dimensionality, which makes the above scenario-based methods compromise to conservative or limited results for network capability.…”

Hosting Capacity Distribution System Yogyakarta with Ant Lion Optimization: A Case Multiobjective

“…In the end, the latest effective computational method to evaluate capacity addition is the problem of uncertainty of grid parameters and the connected multi generators being addressed [3]. Hosting capacity to find renewable energy uncertainties such as unbalanced phases is reconfigured with particle swarm optimization (PSO) [4].…”