Optimised curtailment of distributed generators for the provision of congestion management services considering discrete controllability

Liere-Netheler, Ingo; Schuldt, Frank; Maydell, Karsten von; Agert, Carsten

doi:10.1049/iet-gtd.2019.0992

Cited by 15 publications

(16 citation statements)

References 36 publications

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“…For the selected contingency case the load flow is calculated again and all the reductions of real power ∆P , that are required to rectify occurring congestions, are determined. ∆P j denotes the difference between the current real power P j of a component j between two nodes I, L and its maximal permitted power P max j [31], i.e. ∆P j = P max j − P j .…”

Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

“…P max j is defined by ( 12) in [31]. Accordingly changes of voltage and reactive power are neglected and it can be described as…”

Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

“…The first step is the calculation of the sensitivities for the nodes for all components. The corresponding sensitivity matrix, describing the impact of nodal changes, is determined by the linearization of the AC load flow equations around the current operational state and is thoroughly described in [31]. Then each congestion is resolved following the iterative algorithm shown in Fig.…”

Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

See 2 more Smart Citations

Forecast of Renewable Curtailment in Distribution Grids Considering Uncertainties

Memmel¹,

Schlüters²,

Völker³

et al. 2021

IEEE Access

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Renewable energies curtailment induced by grid congestions increase due to grown renewable energies integration and the resulting mismatch of grid expansion. Short-term predictions for curtailment can help to increase the efficiency of its management. This paper proposes a novel, holistic approach of a short-term curtailment prediction for distribution grids. The load flow calculations for congestion detection are realized by taking different operational security criteria into account, whereas the models for the node-injections are adjusted to the characteristic of each grid node specifically. The determination of required curtailment based on the resulting congestions considers uncertainties of component loading and its corresponding probability. The forecast model is validated using an actual 110 kV distribution grid located in Germany. In order to meet the requirements of a forecast model designed for operational business, prediction accuracy, and its greatest source of error are analyzed. Furthermore, a suitable length of training data is investigated. Results indicate that a six month time period for maintenance gains the highest accuracy. Curtailment prediction accuracy is better for transmission system operator components than for distribution system operator components, but the Sørensen Dice factor for the aggregated grid shows a high match of historic and predicted curtailment with a value of 0.84 and a low error for curtailed energy, which makes 2.23% of the historic curtailed energy. The model is a promising approach, which can contribute to improvement of curtailment strategies and enable valuable insight into distribution grids.

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Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

“…P max j is defined by ( 12) in [31]. Accordingly changes of voltage and reactive power are neglected and it can be described as…”

Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

Section: ) Modeling Of the Node Injectionsmentioning

confidence: 99%

See 1 more Smart Citation

Forecast of Renewable Curtailment in Distribution Grids Considering Uncertainties

Memmel¹,

Schlüters²,

Völker³

et al. 2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simplest of these techniques are based on generators re-dispach, which allows to modify the power flows in the AC network through the coordinated operation of generators in the grid [7]- [9]. Another common way to solve congestion is through RES curtailment, which often are the main cause of congestion in modern transmission grids [10]. Furthermore, aggregated Demand Side Response (DSR) resources can be used for congestion management as they can modulate their power consumption with respect to a baseline based on price signal or participation to specific ancillary services provision markets [11].…”

Section: A Motivation and Literature Reviewmentioning

confidence: 99%

An innovative short-term congestion management algorithm for the Italian subtransmission grid: the Zonal-EMS Demo of the OSMOSE Project

Orru

Lisciandrello

Gliozzi

et al. 2021

2021 AEIT International Annual Conference (AEIT)

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“…Today, APC is considered by fixed curtailment factors, such as 3% of the annually generated energy, without considering the provided flexibility to its full extent [16]. Several curtailment concepts are currently investigated based on power flow analysis [17] or optimal power flow studies [18,19]. The author of [20] presents a time-series-based method to minimize development costs and shows optimization results for a one-year time horizon using twenty-four representative days.…”

Section: Introductionmentioning

confidence: 99%

Multi-Year High-Voltage Power System Planning Considering Active Power Curtailment

Schäfer

Braun

2020

Energies

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Integrating active power curtailment (APC) of renewable energy sources (RES) in power system planning reduces necessary investments in the power system infrastructure. In current target grid planning methods, APC is considered by fixed curtailment factors without considering the provided flexibility to its full extent. Time-series-based planning methods allow the integration of the time dependency of RES and loads in power system planning, leading to substantial cost savings compared to the worst-case method. In this paper, we present a multi-year planning strategy for high-voltage power system planning, considering APC as an alternative investment option to conventional planning measures. A decomposed approach is chosen to consider APC and conventional measures in a long-term planning horizon of several years. The optimal investment path is obtained with the discounted cash flow method. A case study is conducted for the SimBench high-voltage urban benchmark system. Results show that the time-series-based method allows for reducing investments by up to 84% in comparison to the worst-case method. Furthermore, a sensitivity analysis shows the variation in total expenditures with changing cost assumptions.

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Optimised curtailment of distributed generators for the provision of congestion management services considering discrete controllability

Cited by 15 publications

References 36 publications

Forecast of Renewable Curtailment in Distribution Grids Considering Uncertainties

Forecast of Renewable Curtailment in Distribution Grids Considering Uncertainties

An innovative short-term congestion management algorithm for the Italian subtransmission grid: the Zonal-EMS Demo of the OSMOSE Project

Multi-Year High-Voltage Power System Planning Considering Active Power Curtailment

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