This paper proposes a stochastic framework for demand response (DR) aggregator to procure DR from customers and sell it to purchasers in the wholesale electricity market. The aggregator assigns fixed DR contracts with customers based on three different load reduction strategies. In the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

this paper proposes a stochastic framework for demand response (dr) aggregator to procure dr from customers and sell it to purchasers in the wholesale electricity market. the aggregator assigns fixed dr contracts with customers based on three different load reduction strategies. in the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

Aggregating the Demand Response (DR) is approved as an effective solution to improve the participation of consumers to wholesale electricity markets. DR aggregator can negotiate the amount of collected DR of their customers with transmission system operator, distributors, and retailers in Demand Response eXchange (DRX) market, in addition to participate in the energy market. In this paper, a fr...

Due to the limited predictability and associated uncertainty of renewable energy resources, renewable-based electricity systems are confronted with instability problems. In such power systems, implementation of Demand Response (DR) programs not only can improve the system stability but also enhances market efficiency and system reliability. By implementing cloud-based engineering systems the ut...

Demand Response (DR) programs serve to reduce the consumption of electricity at times when the supply is scarce and expensive. Consumers or agents with flexible consumption profiles are recruited by an aggregator who manages the DR program. The utility informs the aggregator of an anticipated DR event. In response, the aggregator is required to deliver a target reduction in electricity consumpt...

We describe and contrast different market mechanisms to incentivize residential electricity customers to perform demand response (DR) via load shifting of schedulable assets. A customer-incentive pricing (CIP) mechanism from our past research is discussed, and compared to flat-rate, time-of-use (TOU), and real-time pricing (RTP). The comparison is made using a for-profit aggregator-based reside...

The flexibility provided by the demand side will be crucial to take a step forward increase penetration of renewable energy resources in system. proposed methodology provides aggregator with information about most reliable consumers, attributing trustworthy rate that characterizes their performance on Demand Response (DR) events. innovation relies applying rates and evaluating context which eve...

Several demand response (DR) strategies rely on real-time pricing and selfish local optimization, which may not result in optimal electricity consumption patterns from the viewpoint of an energy supplier or a power system. Thus, this paper proposes a strategy enabling centralized adjustments to cost-minimize consumers’ load. By employing the strategy, an aggregator is able to alter electricity ...

8 Environmental concerns have spurred greater reliance on variable re9 newable energy resources (VERs) in electric generation. Under current 10 incentive schemes, the uncertainty and intermittency of these resources 11 impose costs on the grid, which are typically socialized across the whole 12 system, rather than born by their creators. We consider an institutional 13 framework in which VERs f...

Aggregator-activated demand response (DR) is widely recognised as a viable means for increasing the flexibility of renewable and sustainable energy systems (RSESs) necessary to accommodate high penetration variable renewables. To this end, by acting DR aggregators offering trading capabilities smaller customers, retailers unlock additional sources demand-side ensure cost-optimal operation RSESs...