Evaluating the Impacts of Real-Time Pricing on the Usage of Wind Generation
By Ramteen Sioshansi, Walter Short. IEEE Transactions on Power Systems, 2009
251 citations recorded by the source corpus.
One of the impediments to large-scale use of wind generation within power systems is its nondispatchability and variable and uncertain real-time availability. Operating constraints on conventional generators such as minimum generation points, forbidden zones, and ramping limits as well as system constraints such as power flow limits and ancillary service requirements may force a system operator to curtail wind generation in order to ensure feasibility. Furthermore, the pattern of wind availability and electricity demand may not allow wind generation to be fully utilized in all hours. One solution to these issues, which could reduce these inflexibilities, is the use of real-time pricing (RTP) tariffs which can both smooth-out the diurnal load pattern in order to reduce the impact of binding unit operating and system constraints on wind utilization, and allow demand to increase in response to the availability of costless wind generation. We use and analyze a detailed unit commitment model of the Texas power system with different estimates of demand elasticities to demonstrate the potential increases in wind generation from implementing RTP.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6b117e596a187d26a68f1f664dc1b20e9850d964
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Luis Baringo
- Shmuel S. Oren
- Antonio J. Conejo
- Anthony Papavasiliou
- Mark J. O'Malley
- Juan M. Morales
- Aidan Tuohy
- Benjamin F. Hobbs
Citations in the corpus
- Demand response in electrical energy supply: An optimal real time pricing approach (2011, background): “For RTP the price of electricity is defined for shorter periods of time, usually 1 h [24], reflecting the changes in the wholesale price of electricity.”
- Optimal Generation Mix With Short-Term Demand Response and Wind Penetration (2012, background): “Although Schweppe’s vision has gone largely unfulfilled, interest in demand response has grown recently in part because such response can also help power systems adapt to short-term variations in renewable energy supplies [2].”
- Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach (2016, background): “The development of SGs has motivated the research on this topic including diverse topics such as demand response [6], energy management of demands [7] and distributed generation [8], or energy storage operation [9].”
- Real-Time Demand Response Model (2010, background): “, enabling infrastructure for integrating large amounts of renewable energy and installing distributed generation [12]–[14], new energy ser-”
- Combined Operations of Renewable Energy Systems and Responsive Demand in a Smart Grid (2011, background): “T ODAY, the integration of large amounts of renewable energy systems (RESs) with the grid [1]–[6] is widely studied by many researchers, but only few of them address these problems in connection with a consumers’ potential participation to the electricity market [7]–[9], or analyze the additional ba”
- Evaluating the Impacts of Real-Time Pricing on the Cost and Value of Wind Generation (2010, background): “Indeed, [5] demonstrates the e ffect RTP can have in reducing wind curtailment due to generator and power system constraints.”
- Pumped storage in systems with very high wind penetration (2011, background): “An initial study was carried out in Tuohy and O’Malley (2009). This examined the operation of wind power at high wind penetration levels, assuming a perfect foresight for wind power. Here, this work extends the analysis by introducing the effect of the uncertainty of wind power using a stochastic un”
- Challenges and barriers to demand response deployment and evaluation (2015, background): “Similarly, the work in [22] demonstrates that most of the total benefit of exposing all sectors to real-time pricing (RTP) can be achieved by implementing DR through RTP in the industrial and commercial sectors only.”
- Large-Scale Integration of Deferrable Demand and Renewable Energy Sources (2014, methodology): “For this reason, numerous renewable integration studies based on unit commitment have been performed recently by Ruiz et al. [1], Sioshansi and Short [2],Wang et al. [3], Contantinescu et al. [4], Tuohy et al. [5], Morales et al. [6], Bouffard et al., Papavasiliou et al. [7] and Papavasiliou and Ore”