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IAEW · Grid Simulation Analysis

Scenario Browser

Select a simulation scenario to analyse grid behaviour, storage dispatch, and network constraints.

35 available

#

Scenario / Label

Timestamp

Grid

Metadata

Baselines

2

Reference runs: market operation without a grid tariff, and the grid without storage.

#1

Market Trading Only (no grid tariff)

20260807_141505-scenario1-no_grid_tariffs-1-MV-rural--2-no_sw

No grid tariff

20260807_141505

1-MV-rural--2-no_sw
no metadata

#2

No Storage — Grid Baseline

20260807_141505-scenario2-no_bess-1-MV-rural--2-no_sw

No grid tariff

No storage

20260807_141505

1-MV-rural--2-no_sw
no metadata

Grid tariff design

8

Energy and capacity charges, static versus dynamic signals, and how strongly they are weighted.

#3

Static Capacity Charge

20260807_141505-scenario3-static_lp-1-MV-rural--2-no_sw

Capacity charge

20260807_141505

1-MV-rural--2-no_sw
no metadata

#4

Energy Charge (volumetric)

20260807_141504-scenario4-ap-1-MV-rural--2-no_sw

Energy charge

20260807_141504

1-MV-rural--2-no_sw
no metadata

#5

Energy + Static Capacity Charge

20260807_151900-scenario5-ap_static_lp-1-MV-rural--2-no_sw

Energy + capacity charge

20260807_151900

1-MV-rural--2-no_sw
no metadata

#7

Dynamic Capacity Charge

20260807_154437-scenario7-dynamic_lp-1-MV-rural--2-no_sw

Capacity charge (dynamic)

20260807_154437

1-MV-rural--2-no_sw
no metadata

#8

Energy + Dynamic Capacity Charge

20260807_154446-scenario8-ap_dynamic_lp-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

20260807_154446

1-MV-rural--2-no_sw
no metadata

#9

Energy Charge — Strong (3× weight)

20260807_154541-scenario9-ap_strong-1-MV-rural--2-no_sw

Energy charge

Energy charge ×3

20260807_154541

1-MV-rural--2-no_sw
no metadata

#10

Energy + Dynamic Capacity + Charge Reserve

20260807_164651-scenario10-ap_dynamic_lp_soc_floor-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Charge reserve 40 %

20260807_164651

1-MV-rural--2-no_sw
no metadata

#11

Dynamic Capacity + Grid Peak Tracking

20260807_171249-scenario11-dynamic_lp_grid_peak-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

20260807_171249

1-MV-rural--2-no_sw
no metadata

Congestion pricing

18

Charges that rise with transformer loading, to see whether price alone can defer congestion.

#12

Congestion — Energy Charge Penalty

20260807_171524-scenario12-congestion_ap_penalty-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

20260807_171524

1-MV-rural--2-no_sw
no metadata

#13

Congestion — Pre-Peak Charging

20260807_171555-scenario13-pre_peak_charging-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

20260807_171555

1-MV-rural--2-no_sw
no metadata

#14

Congestion — Hybrid (F6+F7)

20260807_181449-scenario14-congestion_hybrid-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

20260807_181449

1-MV-rural--2-no_sw
no metadata

#15

Congestion — Banded Energy Charge (S15)

20260807_184228-scenario15-congestion_banded_multiplier-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

20260807_184228

1-MV-rural--2-no_sw
no metadata

#16

Congestion — Market-Coupled (S16)

20260807_184400-scenario16-congestion_market_coupled-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Market-coupled

20260807_184400

1-MV-rural--2-no_sw
no metadata

#17

Congestion — Charge-Only (S17)

20260807_184435-scenario17-congestion_charge_only-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_184435

1-MV-rural--2-no_sw
no metadata

#18

Congestion Path B (S18)

20260807_194249-scenario18-congestion_path_b-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_194249

1-MV-rural--2-no_sw
no metadata

#19

Congestion Path B-a (S19)

20260807_201050-scenario19-congestion_path_b_a-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_201050

1-MV-rural--2-no_sw
no metadata

#20

Congestion Path B-b (S20)

20260807_201224-scenario20-congestion_path_b_b-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_201224

1-MV-rural--2-no_sw
no metadata

#21

Path B — Market-Coupled

20260807_201413-scenario21-path_b_market_coupled-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Market-coupled

Charging only

20260807_201413

1-MV-rural--2-no_sw
no metadata

#22

Path B — Continuous Band

20260807_210942-scenario22-path_b_continuous_band-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_210942

1-MV-rural--2-no_sw
no metadata

#23

Path B — Net Capacity Cap

20260807_213657-scenario23-path_b_net_cap-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Net capacity cap

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260807_213657

1-MV-rural--2-no_sw
no metadata

#24

Path B — Combined

20260807_213750-scenario24-path_b_combined-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Net capacity cap

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Market-coupled

20260807_213750

1-MV-rural--2-no_sw
no metadata

#25

Congestion Path B-c

20260807_214048-scenario25-congestion_path_b_c-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/85/90/95/101 % → 1/2/4/8/16/32×

20260807_214048

1-MV-rural--2-no_sw
no metadata

#26

Congestion Path B-d

20260807_223642-scenario26-congestion_path_b_d-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/85/90/95/101 % → 1/2/4/8/16/32×

20260807_223642

1-MV-rural--2-no_sw
no metadata

#27

Congestion Cost + Dynamic Operating Envelope

20260807_230404-scenario27-congestion_cost_doe-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/85/90/95/101 % → 1/2/4/8/16/32×

20260807_230404

1-MV-rural--2-no_sw
no metadata

#28

Congestion — Absorption

20260807_230618-scenario28-congestion_absorb-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/85/90/95/101 % → 1/2/4/8/16/32×

20260807_230618

1-MV-rural--2-no_sw
no metadata

#41

Grid-Friendly Tariff — Bidirectional

20260808_002851-scenario41-grid_friendly_tariff_bidir-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

20260808_002851

1-MV-rural--2-no_sw
no metadata

Dynamic operating envelopes

7

Time-varying connection limits set by the operator, as an alternative to firm curtailment.

#31

DOE Static — Market-Coupled

20260807_230741-scenario31-doe_static_mktcoupled-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Market-coupled

Charging only

20260807_230741

1-MV-rural--2-no_sw
no metadata

#40

DOE Bidirectional — Arbitrage

20260808_000118-scenario40-doe_bidir_arbitrage-1-MV-rural--2-no_sw

No grid tariff

Operating envelope: static bidirectional block

20260808_000118

1-MV-rural--2-no_sw
no metadata

#42

DOE Bidirectional — Grid-Friendly

20260808_003446-scenario42-doe_bidir_grid_friendly-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

Operating envelope: static bidirectional block

20260808_003446

1-MV-rural--2-no_sw
no metadata

#43

DOE Bidirectional — Grid-Friendly (Banded)

20260808_005134-scenario43-doe_bidir_grid_friendly_banded-1-MV-rural--2-no_sw

Energy + capacity charge (dynamic)

Congestion bands 70/80/85/90/95/101 % → 1/2/4/8/16/32×

Charging only

Operating envelope: static bidirectional block

20260808_005134

1-MV-rural--2-no_sw
no metadata

#44

DOE Injection — Extractive

20260808_014640-scenario44-doe_injection_extractive-1-MV-rural--2-no_sw

Energy charge (dynamic)

Net capacity cap

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

20260808_014640

1-MV-rural--2-no_sw
no metadata

#45

DOE Injection — Credit

20260808_015543-scenario45-doe_injection_credit-1-MV-rural--2-no_sw

Energy charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

Operating envelope: static bidirectional block

20260808_015543

1-MV-rural--2-no_sw
no metadata

#46

DOE S2 Envelope

20260810_133014-scenario46-doe_s2_envelope-1-MV-rural--2-no_sw

Energy charge (dynamic)

Congestion bands 70/80/90/101 % → 1/2.5/5/10×

Charging only

Operating envelope: s2 headroom envelope

20260810_133014

1-MV-rural--2-no_sw
no metadata

Scenario Repository

Each scenario below is a full-year simulation of one distribution grid with a battery energy storage system (BESS), run under a different grid tariff or EMS control strategy. Open a scenario to see how the storage was operated, what it earned, and what it did to voltages and transformer loading.

Key questions

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Which simulation scenarios are available?

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Which EMS strategy or market configuration was applied?

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Which grid topology (SimBench code) was used?

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What operational period does the scenario cover?

Usage note

Scenarios are auto-discovered from the configured results directory. For side-by-side strategy comparison use the Comparison page.

Research-as-a-Service platform for studying the interaction between flexible energy assets, electricity markets, and distribution-grid operation.

Research & Development

The COSIM Cockpit platform is developed within the collaborative research and development activities of the Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics (IAEW) — Active Energy Distribution Grids group — at RWTH Aachen University and the Fraunhofer FIT research team Digitale Energie. The work combines academic expertise in active distribution networks, grid operation and planning, and flexibility integration with applied digital-energy system development and engineering-oriented analytical tooling.

IAEW AEV · RWTH Aachen University

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Fraunhofer FIT · Digitale Energie

Contact

Primary contact for this platform:

Steffen Kortmann

steffen.kortmann@fit.fraunhofer.de+49 241 80-92946
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Fraunhofer Profile

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Legal Notice

The COSIM Cockpit is a research and engineering platform developed at IAEW RWTH Aachen University and Fraunhofer FIT. Results are based on simulation models, modelling assumptions, and scenario-specific input data. Real-world system behaviour may differ from simulated outcomes. Analyses do not constitute operational guarantees or binding engineering assessments.

No warranty is provided regarding completeness, correctness, or fitness for a specific operational purpose. Users are responsible for independently validating conclusions before applying them to real-world decisions.

Research use only: This platform is designed exclusively for research and academic analysis. Results must not be used as the sole basis for investment, operational, or regulatory decisions without independent engineering validation.

Market data: Electricity price time series used in simulations (day-ahead/intraday from ENTSO-E Transparency Platform and EPEX Spot) are subject to the respective platform terms of use.

Confidentiality: Simulation scenarios, configuration files, and result data may contain confidential project-specific information. Exported results and reports must not be shared beyond the intended audience without prior authorisation.

Glossary

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Technology & Open-Source Components

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Built on open-source software: Reflex (Apache 2.0), Plotly (MIT), pandapower (BSD 3-Clause), SimBench (Open Database License), pandas & NumPy (BSD 3-Clause).

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