# Day-Ahead PV Generation Scheduling in Incentive Program for Accurate Renewable Forecasting
## 1 Introduction
In a study by [PERSON] [15], the proposed optimal scheduling strategy has mainly focused on maximizing electricity sales revenue but has not considered mitigation of energy deviation while considering incentives. Maximizing sales revenue can lead to an increase in energy deviation, potentially resulting in a penalty. As a result, when considering incentives, it is important to additionally consider mitigating energy deviations. [PERSON] et al. [16] proposed an ESS operation strategy that considers incentives. However, the operational range of the PV generator is not extended by strategically adjusting the generation schedule. Extending the operational range through generation schedule adjustment is crucial because it allows for considering the energy deviation characteristics of each generator. [PERSON] et al. [10] and [PERSON] et al. [17] mitigated penalties by reducing PV energy deviations and enhancing economic benefits. However, the consideration of incentives is excluded. It is a reasonable attempt to increase the economic benefits by mitigating penalties, but the economic benefits can be further maximized by additionally considering incentives. [PERSON] et al. [18] formulated the optimal ESS scheduling to maximize daily revenue for arbitrage purposes. The formulation includes penalties, although incentives are not considered. Many countries are imposing penalties or reward programs to mitigate renewable energy deviations. Also, in Korea, incentives are provided to encourage accurate forecasting and generation of PVs as an initial step to deal with PV generation as a dispatchable energy source. Despite the numerous studies proposing various scheduling strategies to maximize revenue for PV sites, their methods are not expected to maximize PV revenues in the electricity market, where newly introduced revenues can be obtained by minimizing energy deviations. In electricity markets introducing incentive programs, such as Korea, PV sites should schedule their generation resources by considering both electricity market revenue and incentive returns. Considering that incentives arise by reducing energy deviations, it is required to simultaneously schedule ESS operation and PV curtailment to reduce the energy deviations of PV sites while ensuring that market revenue does not decrease significantly. The main objective of this paper is to determine the optimal generation schedule for PV sites in the day-ahead market, considering the incentive program for accurate renewable energy forecasting. In order to maximize the revenue from generation sales and incentives simultaneously in the uncertain situation arising from PV forecast errors, a scenario-based stochastic optimization is proposed. The paper presents PV curtailment scheduling and ESS operation scheduling methods that can maximize both revenues in all statistically possible PV scenarios from the predicted PV generation. The constraints associated with PV curtailment and ESS operation are considered, and the PV scheduling problem with the incentive program is formulated and transformed into the mixed-integer linear programming (MILP) problem. The expected incentives, total revenue, and energy deviation are calculated based on the optimal PV schedule that has been derived. The paper is organized as follows: Section 2 introduces the renewable energy incentive program in South Korea and the concept of adjusting the PV schedule based on PV curtailment and ESS operation. Section 3 presents the optimization model for PV scheduling and describes the linearization method. Section 4 analyzes the results numerically. Finally, Section 5 summarizes the study's conclusions.