largely working dashboard
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@ -31,7 +31,7 @@ def discharge_bess(bess, site_name, dt, discharge_power):
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continue
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if unit["site"] == site_name:
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new_soc = unit["SoC"] - (dt * discharge_energy) / unit["capacity_kWh"]
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new_soc = unit["SoC"] - discharge_energy / unit["capacity_kWh"]
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new_soc = 0 if new_soc < 0 else new_soc
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else:
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continue
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@ -26,6 +26,11 @@ def format_dataframe(
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current_load = bess_data["units"][index]["current_load_kW"]
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unit_name = bess_data["units"][index]["name"]
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predicted_swap_time = swap_time.get(unit_name, "N/A")
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# convert predicted_swap_time to a readable format
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if isinstance(predicted_swap_time, float):
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predicted_swap_time = pd.to_datetime(
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predicted_swap_time, unit="s"
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).strftime("%Y-%m-%d %H:%M:%S")
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status_df = pd.concat(
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[
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15
dashboard.py
15
dashboard.py
@ -63,7 +63,7 @@ def show_table():
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"SoC (%)": st.column_config.ProgressColumn(
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"State of Charge",
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help="State of Charge of the BESS unit",
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format="%d%%",
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format="%.1f%%",
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min_value=0,
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max_value=100,
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),
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@ -84,9 +84,20 @@ def show_table():
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if st.session_state.running:
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# display simulation start time
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st.metric(
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"Simulation Start Time",
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value=pd.to_datetime(main.c["sim_start_time"], unit="s").strftime(
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"%Y-%m-%d %H:%M:%S"
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),
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)
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st.metric(
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"Time Elapsed in DD:HH:MM:SS",
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value=str(pd.to_timedelta(main.sim_i * main.dt, unit="s")),
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)
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# display BESS data, SoC, Load Consumption
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show_table()
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time.sleep(1)
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time.sleep(3)
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st.rerun()
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else:
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show_table()
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