Impact of Revised Time of Use Tariff on Variable Renewable Energy Curtailment on Jeju Island

Abstract

Jeju Island announced the “Carbon Free Island (CFI) Plan by 2030” in 2012. This plan aims to replace conventional generators with distributed energy resources (DERs) up to a level of 70% by 2030. Akin to Jeju Island, as DERs have been expanded in islanded power systems, variable renewable energy (VRE) has become a significant component of DERs. However, VRE curtailment can occur to meet power balance, and VRE curtailment generally causes energy waste and low efficiency, so it should be minimized. This paper first presents a systematic procedure for estimating the annual VRE curtailment for the stable operation of the islanded power systems. In this procedure, the VRE curtailment is estimated based on the power demand, the grid interconnection, the capacity factor of VRE, and conventional generators in the base year. Next, through the analysis of the hourly net load profile for the year in which the VRE curtailment is expected to occur, a procedure was proposed to find the season and hour when VRE curtailment occurs the most. It could be applied to revised Time-of-Use (ToU) tariff rates as the most cost-effective mitigation method of VRE curtailment on the retail market-side. Finally, price elasticity of electricity demand was presented for applying the revised ToU tariff rate scenarios in a specific season and hour, which found that VRE curtailment occurred the most. Considering self- and cross-price elasticity of electricity, revised ToU tariff rate scenarios were used in a case study on Jeju Island. Eventually, it was confirmed that VRE curtailment could be mitigated when the revised ToU tariff rates were applied, considering the price elasticity of demand.

Optimal Scheduling Strategy for Distribution Network with Mobile Energy Storage System and Offline Control PVs to Minimize the Solar Energy Curtailment

“…After this, if overvoltage still occurs, the PV is curtailed to bring the voltage back down to the reference voltage level, as outlined in Equation (38). Fourth, the day-ahead curtailment requirement of offline control PVs is computed using the forecasted output and curtailment to alleviate voltage to the reference level in each scenario, and it is expressed as in Equation (39). Finally, optimal operation with dayahead curtailment is implemented to consider renewable energy uncertainty [39].…”

“…Fourth, the day-ahead curtailment requirement of offline control PVs is computed using the forecasted output and curtailment to alleviate voltage to the reference level in each scenario, and it is expressed as in Equation (39). Finally, optimal operation with dayahead curtailment is implemented to consider renewable energy uncertainty [39]. Figure 4 summarizes the overall process of the proposed scheduling strategy, taking into account the MESS and offline control PVs.…”

Optimal VPP Operation Considering Network Constraint Uncertainty of DSO

“…• DSC Actual t was set at 11:00-14:00, considering the renewable energy curtailment experience in Jeju Island in Korea [32], [33].…”

Study on an advanced borehole heat exchanger for ground source heat pump operating in volcanic island: Case study of Jeju island, South Korea

“…Jeju self-governing province is promoting the expansion of renewable energy by conducting the "Carbon Free Island Jeju 2030" project, which is a low carbon green growth model to cope with climate change as well as to establish zero net energy island (Lee et al, 2021;Mun et al, 2021). Although the installed capacities of solar and wind energy are 130 MW and 270 MW, which is account for 60.7% of the total electricity demand of Jeju, their annual utilization rates are only 23% and 13%, respectively due to unstable weather conditions (Ko et al, 2019).…”