Reserve constrained dynamic economic dispatch with valve-point effect: A two-stage mixed integer linear programming approach

Zhaolong Wu; Jianying Ding; Q. H. Wu; Zhaoxia Jing; Jiehui Zheng

doi:10.17775/CSEEJPES.2017.0025

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Reserve constrained dynamic economic dispatch with valve-point effect: A two-stage mixed integer linear programming approach

更新时间：2025-12-18

- Reserve constrained dynamic economic dispatch with valve-point effect: A two-stage mixed integer linear programming approach
- CSEE Journal of Power and Energy Systems Vol. 3, Issue 2, Pages: 203-211(2017)
- 作者机构：
  
  1. South China University of Technology,,, CN,Guangdong,Guangzhou
  2. Power Generation Commercial Division, Guangdong Yudean Group Co. LTD,Guangzhou,China,510630
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2017.0025
  CLC：
- Published：2017
- 稿件说明：
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Zhaolong Wu, Jianying Ding, Q. H. Wu, et al. Reserve constrained dynamic economic dispatch with valve-point effect: A two-stage mixed integer linear programming approach[J]. CSEE Journal of Power and Energy Systems, 2017, 3(2): 203-211.
DOI：

Zhaolong Wu, Jianying Ding, Q. H. Wu, et al. Reserve constrained dynamic economic dispatch with valve-point effect: A two-stage mixed integer linear programming approach[J]. CSEE Journal of Power and Energy Systems, 2017, 3(2): 203-211. DOI： 10.17775/CSEEJPES.2017.0025.

摘要

Abstract

This paper proposes a deterministic two-stage mixed integer linear programming (TSMILP) approach to solve the reserve constrained dynamic economic dispatch (DED) problem considering valve-point effect (VPE). In stage one

the nonsmooth cost function and the transmission loss are piecewise linearized and consequently the DED problem is formulated as a mixed integer linear programming (MILP) problem

which can be solved by commercial solvers. In stage two

based on the solution obtained in stage one

a range compression technique is proposed to make a further exploitation in the subspace of the whole solution domain. Due to the linear approximation of the transmission loss

the solution obtained in stage two dose not strictly satisfies the power balance constraint. Hence

a forward procedure is employed to eliminate the error. The simulation results on four test systems show that TSMILP makes satisfactory performances

in comparison with the existing methods.

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