Title :
Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications
Author :
Kanchev, Hristiyan ; Lu, Di ; Colas, Frederic ; Lazarov, Vladimir ; Francois, Bruno
Abstract :
The development of energy management tools for next-generation PhotoVoltaic (PV) installations, including storage units, provides flexibility to distribution system operators. In this paper, the aggregation and implementation of these determinist energy management methods for business customers in a microgrid power system are presented. This paper proposes a determinist energy management system for a microgrid, including advanced PV generators with embedded storage units and a gas microturbine. The system is organized according to different functions and is implemented in two parts: a central energy management of the microgrid and a local power management at the customer side. The power planning is designed according to the prediction for PV power production and the load forecasting. The central and local management systems exchange data and order through a communication network. According to received grid power references, additional functions are also designed to manage locally the power flows between the various sources. Application to the case of a hybrid supercapacitor battery-based PV active generator is presented.
Keywords :
distributed power generation; energy management systems; gas turbines; load flow; load forecasting; photovoltaic power systems; power generation planning; smart power grids; PV power production; communication network; distribution system operators; embedded storage units; energy management tools; gas microturbine; hybrid supercapacitor battery-based PV active generator; load forecasting; local management systems; microgrid power system; next-generation photovoltaic installations; operational planning; power flows; power planning; smart grid applications; Energy management; Load forecasting; Photovoltaic systems; Smart grids; Energy management; load forecasting; microgrid; operational planning; renewable energy prediction; smart grids; sustainable energy;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2011.2119451