Day Ahead Charging Strategy

Day Ahead Charging Strategy#

Includes vehicle decisions to charge and discharge based on an integrated model of the grid load and transportation electric vehicle demand. Optimization model captures when decisions to discharge are needed and helps quantify the benefit for the system as a whole. Requires use of ALEAF.

The day_ahead_charging strategy requires setting the following variables (with changes made to prices_per_MWh, miles, and emission_damages_usd_per_MWh):

{
	"Required Strategy Parameters": {
		"MIN_EV_SoC": 15.0,
		"CUTOFF_BATTERY_LEVEL": 95.0,
		"SERVICE_FLAG": true,
		"SERVICE_CONVENIENCE_FLAG": true,
		"SERVICE_DISTANCE": 2.0,
		"repositioning_flag": true,
		"dump_solutions": false
    },
	"Charging Faculty": {
        "EV_CHARGE_IF_IDLE_FLAG": false,
        "EV_SERVE_IF_CHARGING_FLAG": false
    },
    "Fleet_Repositioning": {
		"Operator_1_TNC_OPERATOR_REPOSITIONING": false,
        "Operator_1_TNC_OPERATOR_REPOSITIONING_CHARGING": true,
        "zones_multiplier": 0.25,
        "demand_window_size": 1.0,
        "alpha": 1.0,
        "time_tradeoff": 2200,
        "EV_LEVEL_UTILITY_INCREASE": 85.0,
        "EV_SUPPLY_LEVEL_SOC": 40.0,
        "EV_QUEUE_FACTOR": 0.30
    },
    "Day_Ahead_Charging": {
        "plan_dayahead_charging": true,
		"total_charge_reduction_factor_AM": 0.20,
		"energy_sell_discount": 0.75,
		"demand_charge": 0.0,
        "cycle_cost": 0.025,
        "BEV_energy_efficiency": 0.279,
        "roundtrip_efficiency": 0.95,
        "min_fleet_SOC": 0.20,
        "max_fleet_SOC": 1.00,
		"medium_term_average_periods": 5,
		"medium_term_average_target": 0.60,
        "penalty_charge": 70,
        "penalty_discharge": 52.5,
		"target_midnight_soc": 0.90,
		"weight_target_soc": 2500000,
		"prices_per_MWh": [70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70,70],
		"emission_damages_usd_per_MWh": [67.16,79.56,80.67,77.94,77.57,70.46,63.29,61.42,70.97,56.45,56.78,49.16,43.39,41.68,45.89,48.57,52.7,49.81,50.62,54.31,50.77,41.07,40.15,56.18],
		"miles": [18066.735032, 14137.726564, 8601.972711, 12194.844088, 27154.670571, 58496.403231, 134083.717557, 278741.811107, 339517.408977, 271805.641915, 207598.491224, 226079.629124, 227718.980212, 215152.713144, 208484.549293, 242123.617472, 243882.458579, 218946.460946, 197338.135378, 135904.506715, 74675.783993, 48911.342576, 33814.023665, 14354.202931]
    }
}

Important

Following two articles provide a combined overview of the strategy features:

Dean, M.D., Gurumurthy, K.M., Zhou, Z., Verbas, O., Cokyasar, T. and Kockelman, K., 2024. An integrated transportation-power system model for a decarbonizing world. Transportation Planning and Technology, 47(8), pp.1277-1313.

Dean, M.D., de Souza, F., Gurumurthy, K.M. and Kockelman, K.M., 2023. Multi-stage charging and discharging of electric vehicle fleets. Transportation Research Part D: Transport and Environment, 118, p.103691.