Dispersed Wind Farm Locating and Sizing Considering Wind Power Consumption and Power Flow Balance

doi:10.3969/j.issn.1000－7229.2018.01.013

Abstract

Abstract: ABSTRACT： Based on the severe wind curtailment situation and promising development trend of dispersed wind farm, this paper proposes a multi-objective dispersed wind farm planning method. The power flow entropy is introduced to describe the balance degree of system flow, and the planning objective is to minimize both the overall operation cost and power flow entropy. This paper applies Latin hypercube sampling (LHS) to deal with the uncertainty and correlation of wind speed and load, and uses the chance constrained programming to restrict the curtailment rate and power rationing after establishing the static constraint model of traditional power system. Besides, an intelligent optimization algorithm is employed in wind farm locating and sizing, the influence of different factors on planning result is studied as well. The simulation of IEEE 9 system shows that the proposed method can guarantee the economic benefit and wind power utilization, and makes the power grid more adaptable to load changes. The result also indicates the great impact of unit climbing and wind speed correlation on the planning capacity of wind power.

Key words:

KEYWORDS： wind power consumption, power flow entropy, Latin hypercube sampling (LHS), chance-constrained programming, dispersed wind farm, locating and sizing

CLC Number:

TM 715

XU Peidong，FANG Hualiang，HUANG Shuo. Dispersed Wind Farm Locating and Sizing Considering Wind Power Consumption and Power Flow Balance[J]. Electric Power Construction, 2018, 39(1): 99-.

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