A progressive optimization dispatching method of smart distribution system

• US 20160239032A1
• Filed: 06/10/2014
• Published: 08/18/2016
• Est. Priority Date: 10/30/2013
• Status: Active Grant

• Current Assignee: Hohai University, Nanjinghehai Technology Limited Company, China Electric Power Research Institute (State Grid Corporation of China), Jiangsu Electric Power Company (State Grid Corporation of China), Jiangsu Electric Power Company WUXI Power Supply Company (State Grid Corporation of China), State Grid Corporation of China
• Original Assignee: Hohai University, Nanjing Hehai Technology Limited Company, China Electric Power Research Institute (State Grid Corporation of China), Jiangsu Electric Power Company (State Grid Corporation of China), Jiangsu Electric Power Company WUXI Power Supply Company (State Grid Corporation of China), State Grid Corporation of China
• Inventors: Yu, Kun, Chen, Xingying, CHEN, Tingji, Wei, Lei, Liao, Yingchen, Cai, Min, Shen, Peifeng, Chen, Kai, ZHU, Hong, Xiao, Jing, Wang, Chunning, Yao, Jianguo
• Granted Patent: US 9,891,645 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The present invention discloses a smart power distribution system and a method to progressively dispatch the power using the same. The method is characterized in that it is based on data collection and data analysis to develop a dispatch scheme. The method steps are all automatic and self-adaptive. The method can be executed in an unattended manner to automatically correlate real time data vs. historical data, planning data vs. operation data. Based on a long cycle periodical variation and short-term random variations in load, and taking into account the temporary load power supply and maintenance needs, a multi-stage progressive multiple time scales optimal dispatching method is developed, including the distributed power, micro-grids, energy storage devices, electric vehicles charge-discharge facility and other elements of the Intelligent power distribution systems, to achieve coordinated operation of the network, power, load resources to ensure a continuous safe and reliable smart power distribution system operated at high quality and efficiency.

Claims

1. (canceled)

2. A progressive dispatching method for a smart power distribution system, comprising the steps of:

1) connecting a plurality of distributed powers, interruptible loads and energy storage devices to a distribution network through switches, in which each switch opens and closes to allow access to the power distribution system;

2) calculating loss rates of the smart power distribution system under various operating modes using working day load curves and holiday load curves respectively, selecting first operation modes having the least power loss rate for each working day and holiday period, according to the sequence that working day and holiday alternate in time, comparing the difference between adjacent working day and holiday first group of operation modes, and determining a mid to long term switch operating scheme;

3) dividing a next day load curve into several different periods according to the load change trend with respect to time and maintenance information,

calculating loss rates of the smart power distribution system under various operating modes for each period,

selecting second group of operation modes having the least power loss rate for each period, comparing the difference between the second operation modes according to time sequence, and determining a short term switch operation scheme;

4) adjusting the power level of the distributed power and energy storage device in the event of emergencies, or transferring the load to other feeders.