Economic Dispatch of Power System Considering Wind Power Integration

doi:10.12204/j.issn.1000-7229.2021.10.011

Abstract

Abstract:

In view of the strong randomness and volatility of wind power generation, in the wind power dispatching system, the method of applying the traditional forecast interval to describe its uncertainty has defects. In response to this problem, this paper optimizes the output forecast range of the wind farm by introducing abandonment restrictions, and obtains a safe wind power output range that can ensure the safe operation of the dispatching system. On this basis, a two-layer robust optimal range dispatch model is established to make the operating cost of conventional units and the cost of abandoning power in wind farms are the smallest, and the impact of system climbing reserve on the safe output range of wind power is analyzed. Since the valve point effect of the conventional unit is considered, the model presents nonlinear characteristics. This paper uses an improved teaching and learning optimization algorithm and a linear programming method to solve the model. Finally, an improved 10-machine system verifies the effectiveness and superiority of the proposed model and solution method.

Key words: robust optimization, teaching and learning optimization algorithm, wind power curtailment, wind power output range

CLC Number:

TM73

QIU Gefei, ZHANG Pengkun, HE Piao. Economic Dispatch of Power System Considering Wind Power Integration[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(10): 101-109.

Figures/Tables 13

Fig.1 Schematic diagram of two-layer robust economic dispatch model

Fig.2 The influence of wind power curtailment on forecast range of wind power output

Fig.3 Flowchart of the algorithm solution

Fig.4 Forecast curve of daily system load

Table 1 Comparison results with or without valve point effect

Fig.5 Unit output plan for each period in Case 1

Fig.6 Unit output plan for each period in Case 2

Fig.7 Safe output range of wind power in Case 2

Fig.8 Comparison results between supply and demand for upward ramping reserve

Fig.9 Comparison results between supply and demand for downward ramping reserve

Table 2 Coal consumption cost of different solution methods

Table A1 Thermal power unit parameters

Table A2 Wind power output forecast interval in each period

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