The Research of Power Generating Self-Optimization Mode Based on the Objective Function Optimization

Author:

Hua Zhi Gang1,Hu Guang Yu1,Wu Zhi Gong1,Zhai Yong Jie1

Affiliation:

1. North China Electric Power University

Abstract

The self-optimization method for power generation proposed in this paper is an initial allocation of power energy. Every unit is according to the same principles of utilization hours in the same province. Under the premise of unchanged total power of each power generation unit and the security of the power system as well as the discharge standards, this method can achieve the minimum social resource consumption and the minimum discharge meet the demand of power energy at the same time by adjusting of autonomy optimization among internal different units. It is an important means and effective way to carry out energy generation scheduling work.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference14 articles.

1. R. A. Jabr and B. C. Pal, Intermittent wind generation in optimal power flow dispatching, Generation, Transmission & Distribution, IET, vol. 3, pp.66-74, (2009).

2. B. Zhang, W. C. Wu and T. Y. Zhang, Design of a multi-time scale coordinated active power dispatching system for accommodating large scale wind power penetration, , Automation of Electric Power Systems, vol. 35, no. 1, pp.1-6, Jan. (2011).

3. State Electricity Regulation Commission of China, 2008. Generation Right Trading Temporary Regulation Rules /http: /202. 123. 110. 5/gzdt/2008-03/26/con tent_928918. htmS (in Chinese).

4. State Council of China, 2002. Notice for power system reform scheme (No. 5) /http: /www. china5e. net/laws/index2. htm?id=200608080001S (in Chinese).

5. Chen, W.X., 2008. Reform pushes the power industry into the scientific development new era—30 years reform and opening of China's power industry. China Water power&Electrification11, 1–9 (in Chinese).

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