Zonal Congestion Management Mixing Large Battery Storage Systems and Generation Curtailment

Abstract

The French transmission system operator (RTE) needs to face a significant congestion increase in specific zones of the electrical network due to high integration of renewable energies. Network reconfiguration and renewable energy curtailment are currently employed to manage congestion and guarantee the system security and stability. In sensitive zones, however, stronger levers need to be developed. Large battery storage systems are receiving an increasing interest for their potential in congestion management. In this paper, a model for local congestion management mixing batteries and renewable generation curtailment is developed. Subsequently, an energy management approach relying on the principles of Model Predictive Control is presented. Results of simulations on RTE data sets are presented for the analysis of the degrees of freedom and sensitive parameters of the design.

Hierarchical Control for Self-adaptive IoT Systems: A Constraint Programming-Based Adaptation Approach

“…For the environment related concerns, various solutions could be foreseen, such as limiting the production on wind farms, charging batteries, opening circuit breakers, or a combination of these solutions [15].…”

Modeling the Partial Renewable Power Curtailment for Transmission Network Management

“…Variations in power flows are represented by a linearization, where the matrices computation is based on PTDF (see [8,9]). PTDF models are commonly used in power systems network modeling and analysis; a description is given in [2,8,9]. We use the realistic tool MATPOWER (see [10]) with the full French grid data set to simulate the power transmission line under various scenarios and to calculate the parameters for the matrices.…”

“…Consequently, wind turbines aggregation may require the addition of new lines to enable produced electricity delivery. To limit this necessity and the extra costs it requires, new congestion management methods implementing advanced constraints handling techniques are nowadays investigated [2], [3], [4], [5], [6]. These new congestion management methods are model-based, and allow for a better utilisation of the available resources, in terms of maximizing the renewable power production and reduction of impact on the transmission lines.…”

“…In the current literature, due to the unique possibility to have on/off decisions for power curtailment, the existing models only consider generation ramping and no information is kept about the amount of real-time generated power. For example, the works in [2] and [3] describe a dynamical model based on Power Transfer Distribution Factor (PTDF) (see [8,9]) that allows only on/off curtailment decisions, and consequently eludes the manipulation of elements on power generation. As the possibility to consider partial curtailment can now be envisaged by the Transmission System Operators (TSOs), the present paper introduces a dynamical model describing the whole set of elements that are needed to partially curtail the renewable power.…”

AnATCDFapproach forATCenhancement using charging/discharging ofwind‐batterysystem considering wind direction and wake effect ofWTs

“…The wind speed Ṽ wake x ð Þ due to the wake effect and wind direction on downstream WT can be calculated by Equation (13), which is a new equation proposed in this paper, using the above Equations ( 7)- (12).…”