Abstract
Maintaining the efficiency of electric power systems (EPSs) requires some flexibility margin, which decreases in the case of adopting a variety of renewable energy sources (RESs). For this reason, the determination of the EPS flexibility several hours ahead becomes especially urgent. In this study, the flexibility of a 5-node EPS with a four-minute load change during a 6-hour time horizon is calculated. To this end, a probabilistic method based on the analysis of the cumulative probability of the available flexibility is used.
Highlights
One of the main characteristics of the flexibility of an electric power system (EPS) is the ability to maintain the efficiency of electric power systems (EPSs) under changing internal and external factors
The method is based on computational geometry using polytopic projections, which requires a limited amount of information exchange between two EPSs, and it can do without central coordination [5]
This paper presents a quality characteristic of the EPS flexibility, which is calculated by a probabilistic method [1]
Summary
One of the main characteristics of the flexibility of an electric power system (EPS) is the ability to maintain the efficiency of EPS under changing internal and external factors. 3. Calculation of a flexibility residual, i.e. the difference between the available flexibility and the expected load ramps for each observation and horizon. 4. Calculation of the ramping rate (ΔR), power (ΔP), and energy (ΔE). Calculation of the ramping rate (ΔR), power (ΔP), and energy (ΔE) These values are used to determine flexibility in EPS [4]. 5. Calculation of flexibility sets, which determine the allowed deviations from the current state of the EPS. EPS flexibility is achieved by increasing and properly utilizing power reserves. The calculation of the EPS flexibility requires accurate information about the available power reserves in the EPS and the rules for using these capacities. This paper presents a quality characteristic of the EPS flexibility, which is calculated by a probabilistic method [1].
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