期刊论文详细信息
Energies
Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration
Sam Weckx1  Reinhilde D’hulst2  Johan Driesen1 
[1] Division Electrical Energy and Computer Architectures, Department of Electrical Engineering, Katholieke Universiteit Leuven (ELECTA, KU Leuven), Kasteelpark Arenberg 10, bus 2445, 3001 Leuven, Belgium; E-Mail:;Vlaamse Instelling voor Technologisch Onderzoek (VITO), Boerentang 200, 2400 Mol, Belgium; E-Mail:
关键词: active power curtailment;    distributed optimization;    distribution system;    locational marginal pricing;    reactive voltage control;    real-time pricing;   
DOI  :  10.3390/en8054607
来源: mdpi
PDF
【 摘 要 】

In this paper, a locational marginal pricing algorithm is proposed to control the voltage in unbalanced distribution grids. The increasing amount of photovoltaic (PV) generation installed in the grid may cause the voltage to rise to unacceptable levels during periods of low consumption. With locational prices, the distribution system operator can steer the reactive power consumption and active power curtailment of PV panels to guarantee a safe network operation. Flexible loads also respond to these prices. A distributed gradient algorithm automatically defines the locational prices that avoid voltage problems. Using these locational prices results in a minimum cost for the distribution operator to control the voltage. Locational prices can differ between the three phases in unbalanced grids. This is caused by a higher consumption or production in one of the phases compared to the other phases and provides the opportunity for arbitrage, where power is transferred from a phase with a low price to a phase with a high price. The effect of arbitrage is analyzed. The proposed algorithm is applied to an existing three-phase four-wire radial grid. Several simulations with realistic data are performed.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland

【 预 览 】
附件列表
Files Size Format View
RO202003190012235ZK.pdf 784KB PDF download
  文献评价指标  
  下载次数:17次 浏览次数:58次