TY - JOUR
T1 - Capacity Controlled Demand Side Management: A Stochastic Pricing Analysis
JF - IEEE Transactions on Power Systems
Y1 - 2015/03//
SP - 1
EP - 12
A1 - Margellos, Kostas
A1 - Shmuel S. Oren
KW - CERTS
KW - demand-side management
KW - reliability and markets
KW - RM12-001
AB - We consider a novel paradigm for demand side management, assuming that an aggregator communicates with a household only at the meter, imposing a capacity constraint, i.e., a restriction on the total power consumption level within a given time frame. Consumers are then responsible to adjust the set-points of the individual household devices accordingly to meet the imposed constraint. We formulate the problem as a stochastic household energy management program, with stochasticity arising due to local photovoltaic generation. We show how a demand bidding curve for capacity increments can be constructed as a by-product of the developed problem and provide a rigorous pricing analysis that results in a probabilistic “shadow” price envelope. To evaluate the efficacy of the proposed approach, we compare it with an idealized real-time market price set-up and show how our analysis can provide guidelines to consumers when selecting a service contract for load curtailment.
JO - IEEE Trans. Power Syst.
DO - 10.1109/TPWRS.2015.2406813
ER -
TY - CONF
T1 - A fuse control paradigm for demand side management: Formulation and stochastic pricing analysis
T2 - 2015 American Control Conference (ACC)
Y1 - 2015/07//
SP - 5672
EP - 5677
A1 - Margellos, Kostas
A1 - Shmuel S. Oren
KW - reliability and markets
KW - RM12-001
AB - We consider a novel paradigm for demand side management that is based on the so called fuse control concept. We assume that an aggregator communicates with a household only at the meter, imposing a fuse limit, i.e. a restriction in the total consumption level within a given time frame. Consumers are then responsible to adjust the set-points of the individual household devices accordingly to meet the imposed fuse limit. We formulate the problem as a stochastic household management program, with stochasticity arising due to local photovoltaic generation. We show how a demand bidding curve for fuse increments can be constructed as a by-product of the developed problem and provide a rigorous pricing analysis that results in a probabilistic envelope around the “shadow” prices of the deterministic variant of the considered problem, inside which the “shadow” prices of the stochastic one are confined to lie. To evaluate the efficacy of the proposed approach we compare it with an idealized set-up that involves tracking of real-time market price signals.
JF - 2015 American Control Conference (ACC)
PB - IEEE
CY - Chicago, IL, USA
DO - 10.1109/ACC.2015.7172228
ER -