Bidding strategy in energy and spinning reserve markets for aluminum smelters' demand response

@article{Zhang2015BiddingSI,
  title={Bidding strategy in energy and spinning reserve markets for aluminum smelters' demand response},
  author={Xiao Zhang and Gabriela Hug},
  journal={2015 IEEE Power \& Energy Society Innovative Smart Grid Technologies Conference (ISGT)},
  year={2015},
  pages={1-5}
}
  • Xiao Zhang, G. Hug
  • Published 25 June 2015
  • Engineering
  • 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Aluminum smelting is an energy-intensive electrolytic process that is widely used to produce aluminum. The electricity cost thereby constitutes a significant portion of the total operation cost. At the same time, the smelting process is able to change its power consumption both accurately and quickly by controlling the pots' DC voltage, without affecting the production quality. Hence, an aluminum smelter has both the motivation and the ability to participate in demand-side management. By… 
View on IEEE
ece.cmu.edu
45 Citations
Highly Influential Citations
1
Background Citations
23
Methods Citations
3

Figures and Tables from this paper

45 Citations

Citation Type

Citation Type

Model-based bidding strategies on the primary balancing market for energy-intense processes
Optimal Non-Zero Price Bids for EVs in Energy and Reserves Markets Using Stochastic Optimization
TLDR
A stochastic optimization method for an EV aggregator that models the uncertainty of the imbalance price, the reserve prices and the probability of acceptance and deployment of reserves results in an optimal charging and discharging strategy considering day-ahead purchase, imbalance trading and reserve bids.
Stochastic bidding of volume and price in constrained energy and reserve markets
Approaches to Enable Demand Response by Industrial Loads for Ancillary Services Provision
Demand response has gained significant attention in recent years as it demonstrates potentials to enhance the power system’s operational flexibility in a cost-effective way. Industrial loads such as…
Energy consumption modeling of production process for industrial factories in a day ahead scheduling with demand response
Industrial demand response by steel plants with spinning reserve provision
Demand response has gained significant attention in recent years as it demonstrates potentials to enhance the power system's operational flexibility in a cost-effective way. Industrial loads such as…
Flexibility Scheduling for Large Customers
TLDR
A novel decision-making tool for enabling large customers to determine how they adjust their electricity usage from normal consumption patterns in expectation of gaining profit in response to changes in prices and incentive payments offered by the system operators.
Flexibility Scheduling for Large Customers
TLDR
The proposed model simultaneously determines the optimal integration of the flexibility options including shifting demand and utilizing onsite generation and energy storage systems, along with energy procurement from the grid that allows the large customers to optimize their energy portfolio from different sources including bilateral contracts and the market.
A Bi-level Programming Guiding Electrolytic Aluminum Load for Demand Response
TLDR
Simulation results demonstrate that the proposed bi-level programming can not only reduce the operational cost of the power system, but also increase the profit of the electrolytic aluminum plant when it provides DR services.
A Game Theoretical Pricing Mechanism for Multi-Area Spinning Reserve Trading Considering Wind Power Uncertainty
The rapid development of wind power has led to an increased demand for spinning reserve in power systems today. However, one of the most severe challenges to China's power systems is the mismatch…
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 21 REFERENCES
Peak-load management in steel plants
Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market
Optimal regulation provision by aluminum smelters
  • Xiao Zhang, G. Hug
  • Engineering
    2014 IEEE PES General Meeting | Conference & Exposition
  • 2014
The industrial electrolysis process which is used to produce aluminum is a highly energy-intensive process. As it is possible to adjust the power consumption of this process on short notice without…
The potential of demand-side management in energy-intensive industries for electricity markets in Germany
Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation
This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based…
Optimal Bidding Strategies for Hydro-Electric Producers: A Literature Survey
In a competitive environment with bid-based markets, power generation companies desire to develop bidding strategies that maximize their revenue. In this paper we ask: What approaches and…
Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant
In today’s energy markets, there is a growing effort toward the alignment of the industrial sector and the power grid for the sake of efficient energy distribution and consumption. In this paper, the…
Evaluating a Stochastic-Programming-Based Bidding Model for a Multireservoir System
Hydropower producers need to schedule when to release water from reservoirs and participate in wholesale electricity markets where the day-ahead production is physically traded. A mixed-integer…
Economic dispatch considering volatile wind power generation with lower-semi-deviation risk measure
Renewable and low carbon electricity resources have become increasingly popular all over the world. Traditional Economic Dispatch models generally only pursue the minimum of operation cost in a…
Robust integer optimization and scheduling problems for large electricity consumers
TLDR
In this paper, the problem of calculating flexible schedules is tackled with a robust optimization based approach and a new explicit robust counterpart is developed.
...
1
2
3
...