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Optimal reconfiguration and scheduling of a smart distribution network with uncertain renewables and price-responsive demand

Ghasemi A.

Journal of Power Technologies

2016

Vol. 96, nr 3

183--193

A new two-stage operation scheduling framework is proposed in this paper to optimize day-ahead (DA) operation of a reconfigurable smart distribution network (SDN). The SDN contains wind farm as uncertain renewable generation as well as responsive demand and is operated by a distribution company (DisCo). The DisCo implements nodal hourly pricing as a pricebased demand response program (DRP) to modify consumers’ demand profile. Retail prices are determined in the first stage of the proposed scheduling framework, while the best network topology and the bidding strategy of the DisCo in the DA energy market are determined in the second stage. The two point estimate method (TPEM) is implemented in this paper to model the intrinsic uncertainty of wind farm power generation and responsive demand. Finally, the effectiveness of the proposed framework is evaluated in several case studies.

Reducing the electric utility death spiral

Lively M. B.

Rynek Energii

2015

Nr 4

84--87

Electric utilities are seeing substantial declines in revenue as the result of the installation of rooftop solar. Rate design changes can reduce the link between these revenue declines and the decline in net income. Substantial portions of utility revenue is collected on an energy (MWh) basis, much larger than the proportion of utility costs. Increasing the portion of utility revenue that is collected on a demand (kW) basis can reduce the decline in revenue and the decline in net income.