Title :
A control strategy for centralized grid connection of new energy based on fluctuation-suppressing algorithm
Author :
Ming Fang ; Jianfeng Wu
Author_Institution :
Ningbo Power Supply Co. State Grid Corp. of China, Ningbo, China
Abstract :
With the growing penetration of wind power and photovoltaic generation, the problem of grid connection of new energy generation (NEG) has become increasingly challenging. The rapid expansion of energy storage technology brings a new hope to efficient utilization of new energy. This paper focuses on the impact of energy storage technology in the field of large-scale grid-tied new energy. This paper outlines the system architecture involving real-time database, decision-making system and the grid connection of NEG. Also, it mainly examines how to smooth the fluctuations of NEG by coordinating energy storage System (ESS). To address the problem, a control strategy based on the requirement of the connection of wind power and photovoltaic generation as well as the state of charge (SOC) of energy system is proposed. Evaluation of the proposed fluctuation-suppressing algorithm using example simulation shows that the strategy significantly reduces the fluctuation rate. Meanwhile system architecture model based on real-time database increases the reliability and operational efficiency of the whole system.
Keywords :
energy storage; photovoltaic power systems; power system control; smart power grids; wind power; centralized grid connection; control strategy; decision-making system; efficient utilization; energy storage system; energy storage technology; fluctuation-suppressing algorithm; growing penetration; large-scale grid-tied new energy; new energy generation; operational efficiency; photovoltaic generation; real-time database; reliability; state of charge; wind power; Batteries; Discharges (electric); Fluctuations; Power systems; Smoothing methods; System-on-chip; SOC; energy storage system (ESS); fluctuation-suppressing algorithm; grid connection; real-time database; system architecture model;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743370