CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThis paper presents a method for optimal power management of grid-connected microgrids. Dynamic programming (DP) algorithm is utilized to forecast the global optimal solution to microgrid power flow dispatch, considering day-ahead forecasts of PV power and loads. The impact of various retail electricity pricings, which include fixed-price, time-of-use (TOU) pricing and real-time pricing (RTP) based on locational marginal pricing (LMP), are discussed. Battery storage with its nonlinear charging/discharging cost model is also exploited for system power optimization. The objective is to achieve the minimum microgrid system operation cost, in other words, the maximum economic benefits for end-users. Rule-based (RB) algorithm is also studied as a baseline for comparison to the DP solution. Typical cases under different weather scenarios have been studied, simulated and compared.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Power Optimization and Real-time Management of Grid-connected Microgrid with Nonlinear Battery Degradation Model in Energy Market |
| Autori: | |
| Data di pubblicazione: | 2020 |
| Rivista: | |
| Abstract: | This paper presents a method for optimal power management of grid-connected microgrids. Dynamic programming (DP) algorithm is utilized to forecast the global optimal solution to microgrid power flow dispatch, considering day-ahead forecasts of PV power and loads. The impact of various retail electricity pricings, which include fixed-price, time-of-use (TOU) pricing and real-time pricing (RTP) based on locational marginal pricing (LMP), are discussed. Battery storage with its nonlinear charging/discharging cost model is also exploited for system power optimization. The objective is to achieve the minimum microgrid system operation cost, in other words, the maximum economic benefits for end-users. Rule-based (RB) algorithm is also studied as a baseline for comparison to the DP solution. Typical cases under different weather scenarios have been studied, simulated and compared. |
| Handle: | http://hdl.handle.net/11571/1349118 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
Copyright © 2021