A two-stage MILP formulation for source-load coordinated dispatch with wind power considering peak-valley regulation and ramping requirements

• Published in: 2016 IEEE Power and Energy Society General Meeting (PESGM) pp. 1 - 5
• Main Authors: Rufeng Zhang, Guoqing Li, Houhe Chen, Xue Li, Tao Jiang, Ruoxi Ning, Hantao Cui, Linquan Bai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2016
• Subjects: demand response; Linear programming; Load management; Load modeling; mixed-integer linear programming (MILP); Optimization; peak-valley regulation and ramping requirements; Power systems; Thermal loading; Wind power; Wind power generation
• ISSN: 1944-9933
• DOI: 10.1109/PESGM.2016.7741586

In this paper, a two-stage mixed integer linear programming (MILP) formulation for source-load coordinated dispatch with wind power considering peak-valley regulation and ramping requirements is proposed. First, the peak-load regulation and ramping requirements of the net load curve are analyzed. Second, the first stage optimization model considering incentive-based demand response (IDR) is formulated to optimize the net load curve, in which the objective function is to minimize the compensation costs of IDR. Several constraints are taken into account to reduce the peak-valley regulation needs and meet the ramping requirements. Then, based on the optimized load curve, the second stage day-ahead dispatch optimization model is proposed to optimize the allocation of generation sources, taking the total costs of power generation minimization as the objective function considering thermal unit reserve costs. The proposed model is applied to a 10-unit system with a wind power farm with 600MW installed capacity. Simulation results demonstrate the effectiveness and feasibility of the proposed model.