Stochastic Optimization Scheduling Method for Pumped Storage Power System Considering Wind Curtailment Cost

doi:10.3969/j.issn.1000-7229.2016.04.005

Abstract

Abstract:

According to the problem of wind power absorption in grid, this paper proposes a mathematical model for pumped storage units participating in peak shaving. We construct a stochastic programming model of wind power-thermal power-pumped storage association system, which takes wind curtailment cost as one of the economic indicators and wind speed and load as uncertain variables. When dealing with the constraint condition of opportunity, we adopt bootstrap sampling to estimate confidence interval, in order to improve the accuracy. Finally, we carry out the simulation test on the IEEE 30-bus system to analyze the economical efficiency under the condition of different wind power and pumped storage capacity. The results show that with the rising of wind power installed capacity from 300 MW to 400 MW, wind curtailment cost increases and the demand of pumped storage capacity and reserve capacity also goes up. When the wind power installed capacity arrives at the level of 400 MW and pump storage capacity raises to 90 MW, the economic cost can be reduced by 5% compared with that in the case without pumped storage in scheduling. Meanwhile, the number of start-up （shut-down） thermal power units is reduced from 2 to 1. Example shows that according to the different wind power installed capacity, the rational allocation of pumped storage capacity and the coordinative peaking of multiple sources can achieve the purpose of the wind power absorption at the least cost.

Key words: wind curtailment cost, pumped storage, stochastic programming, bootstrap sampling

CLC Number:

TM 732

GUO Yongming, LIU Guanqi. Stochastic Optimization Scheduling Method for Pumped Storage Power System Considering Wind Curtailment Cost[J]. Electric Power Construction, 2016, 37(4): 29-34.

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