ENERGY CONTROL METHOD FOR ENERGY MANAGEMENT SYSTEM

• US 20130218356A1
• Filed: 02/07/2013
• Published: 08/22/2013
• Est. Priority Date: 02/17/2012
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: LEE, Jeong In, LEE, Il Woo
• Application Number:
  US13/761,894
• Publication Number:
  US 20130218356A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 3/004 Generation forecast, e.g. methods or systems for forecasting future energy generation
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 3/322 the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y02T 90/167 Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/123 the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 10/126 the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 20/221 General power management systems
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/12 Remote or cooperative charging
• CPC Class Codes: Y04S 30/14 Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

An energy control method for an energy management system provides an operation plan for the energy management system for monitoring and controlling an energy charging and discharging state according to an energy storage type, since energy self-sufficiency at home is enabled through association between an energy storage system (ESS) such as an electric vehicle charging station and home as a renewable energy power supply in the form of a distributed energy resource (DER) is constructed at home. The energy control method adds functions of a home energy management system (HEMS) managing and controlling a renewable energy power supply, the ESS, and the electric vehicle charging station that may be constructed at home afterwards, thereby providing consumers with a control order of various facilities not considered before. Therefore, information on settlements caused by energy supply and demand procedures and energy trading details and management evaluation functions may be provided.

Claims

1. An energy control method of an energy management system, the energy control method comprising:

determining availability of energy generation by a renewable energy based on data measured by an environmental sensor;

obtaining real time rates provided by an electricity company when energy generation by the renewable energy is available;

performing comparison with previous real time rates stored in the energy management system and analysis of the obtained real time rates;

selecting whether to supply the renewable energy according to the analyzed real time rates;

storing energy in an energy storage system (ESS) and an electric vehicle charging station when the real time rates are lower than electricity rates; and

receiving supply of energy from a grid when energy supply using the renewable energy is less than energy demanded by home.

2. The energy control method of claim 1, further comprising:

selling surplus energy generated by the renewable energy through inverse transmission to the grid.

3. The energy control method of claim 2, further comprising:

analyzing a state of the ESS when the real time rates are low;

estimating a charging time by calculating a charging capacity of the ESS and performing charging; and

measuring the real time rates and supplying the energy of the ESS to a home load when it is a peak load or when the real time rates are high.

4. The energy control method of claim 1, further comprising:

supplying energy to a home load in association with the grid when the renewable energy does not generate energy.

5. The energy control method of claim 2, further comprising:

analyzing a state of the electric vehicle charging station when the real time rates are low;

estimating a charging time by calculating a charging capacity of the electric vehicle charging station and performing charging; and

measuring the real time rates and supplying the energy of the electric vehicle charging station to an electric vehicle when it is a peak load or when the real time rates are high.

6. The energy control method of claim 1, further comprising:

supplying energy stored in the electric vehicle charging station to an electric vehicle when the renewable energy does not generate energy.