METHOD FOR OPTIMIZING THE FLEXIBLE CONSTRAINTS OF AN ELECTRIC POWER SYSTEM

• US 20150355655A1
• Filed: 08/27/2014
• Published: 12/10/2015
• Est. Priority Date: 06/06/2014
• Status: Active Grant

• Current Assignee: Shanghai JIAO TONG University
• Original Assignee: Shanghai JIAO TONG University
• Inventors: WANG, Chengmin, SUN, Weiqing, YI, Tao, LI, Hongzhong, LIU, Yong, DUAN, Jianmin, XIAO, Dingyao
• Granted Patent: US 9,720,431 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/041 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G05F 1/70 Regulating power factor; Regulating reactive current or power
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544

Abstract

A method for optimizing the flexible constraints of an electric power system includes a step S1 of expressing the total power generation cost of the electric power system by using the sum of quadratic functions of active power outputs of all generator sets in the system and constructing an objective function, a step S2 of selecting a multi-dimensional flexible optimization model or a flexible power generation cost optimization model according to the practical situation of the electric power system and the practical purpose of optimization, a step S3 of determining the operating conditions of the electric power system, and a step S4 of carrying out load flow calculation.

Claims

1. A method for optimizing flexible constraints of an electric power system,

comprising:

S1, expressing a total power generation cost f′

of the electric power system by a sum of quadratic functions of active power outputs of all generator sets in the system in a flexible formula as follows;

2. The method of claim 1, wherein the multi-dimensional flexible optimization model is as follows:

3. The method of claim 1, wherein the flexible power generation cost optimization model is as follows:

4. The method of claim 1, wherein the optimal load curtailment is as follows:

5. The method of claim 1, wherein the corresponding optimization specifically comprises:

501, constructing a Lagrange objective function according to the corresponding multi-dimensional flexible, power generation cost flexible or optimal load curtailment model,

502, obtaining a Kuhn-Tucker condition corresponding to the optimal solution of the Lagrange objective function, and

503, solving by virtue of a newton method to obtain the optimal solution of the model.