earticle

논문검색

The Research on network Losses Allocation of Power Market based on Improved REI Network Numerical Equivalence

초록

영어

The main purpose of this paper is how to allocate network losses of power market, and takes this as objective function of this paper. Then we have conducted an in-depth analysis and discussion to the commonly-used algorithm of network losses allocation of each country. On this basis, we have chosen power flow tracking algorithm, and carried on in-depth analysis, then found out the shortcomings and areas for improvement. For the shortcomings, we have introduced REI network numerical equivalence method, and applied it to the improved power flow tracing algorithm of this paper. Moreover, we have verified four-node and three-machine nine-node network system, and proved the rationality of the model. Therefore, the proposed method in this paper was applied to bidirectional network losses allocation model. Generator and load undertook network losses of each electronic component according to certain proportion. In this paper, complex power flow tracing algorithm was applied to four-node system and the western U.S. power grid WSCC three-machine nine-node system, verifying the validity and correctness of this algorithm.

목차

Abstract
 1. Introduction
 2. Power Flow Tracing Algorithm Principle-the Prorated Principle
 3. Rei Equivalent Methods
  3.1. Application of Gaussian Elimination Method in this Article
 4. Improved Complex Power Flow Tracing Method
  4.1. Downstream Tracking
  4.2. Countercurrent Tracking
  4.3. The Bi-Directional Tracking Model in Network Losses Allocation
 5. Numerical Examples
  5.1. Four-Node Network System
  5.2. WSCC9 Node System
 6. Conclusions
 References

저자정보

  • Lei Shi School of Automation, Baotou Light Industry Vocational Technical College, Baotou, China
  • Jianjun Xu College of Electrical Information Engineering, Northeast Petroleum University, Daqing, China
  • Limei Yan College of Electrical Information Engineering, Northeast Petroleum University, Daqing, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.