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Found 18 papers, 8 papers with code
Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets
The P90 requirement of the Danish transmission system operator, Energinet, incentivizes flexible resources with stochastic power consumption/production baseline to bid in Nordic ancillary service markets with the minimum reliability of 90%, i. e., letting them cause reserve shortfall with the probability of up to 10%.
Aggregator of Electric Vehicles Bidding in Nordic FCR-D Markets: A Chance-Constrained Program
Recently, two new innovative regulations in the Nordic ancillary service markets, the P90 rule and LER classification, were introduced to make the market more attractive for flexible stochastic resources.
Energy-Intensive Industries Providing Ancillary Services: A Real Case of Zinc Galvanizing Process
Energy-intensive industries can adapt to help balance the power grid.
Flexibility of Integrated Power and Gas Systems: Modeling and Solution Choices Matter
This requires accurately representing the gas flow physics governed by partial differential equations.
Synergy Among Flexible Demands: Forming a Coalition to Earn More from Reserve Market
We address potential synergy among flexible demands and how they may earn more collectively than individually by forming a coalition and bidding to the reserve market.
Bayesian Regression Markets
Machine learning tasks are vulnerable to the quality of data used as input.
Towards Replication-Robust Analytics Markets
Many industries rely on data-driven analytics, yet useful datasets are often distributed amongst market competitors that are reluctant to collaborate and share information.
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
For the unit commitment problem, we solve a mixed-integer second-order cone problem.
Feature-Driven Strategies for Trading Wind Power and Hydrogen
This paper develops a feature-driven model for hybrid power plants, enabling them to exploit available contextual information such as historical forecasts of wind power, and make optimal wind power and hydrogen trading decisions in the day-ahead stage.
Load Shifting Versus Manual Frequency Reserve: Which One is More Appealing to Flexible Loads?
This paper investigates how a thermostatically controlled load can deliver flexibility either in form of manual frequency restoration reserves (mFRR) or load shifting, and which one is financially more appealing to such a load.
Ecosystem for Demand-side Flexibility Revisited: The Danish Solution
The main change is to relax the previous mandate that required each aggregator to be associated with a retailer and a balance responsible party.
Online Decision Making for Trading Wind Energy
We propose and develop a new algorithm for trading wind energy in electricity markets, within an online learning and optimization framework.
A Market for Trading Forecasts: A Wagering Mechanism
This market delivers an aggregated forecast to the buyer (pre-event) and allocates a payoff to the sellers (post-event) for their contribution.
Moving from Linear to Conic Markets for Electricity
We propose a new forward electricity market framework that admits heterogeneous market participants with second-order cone strategy sets, who accurately express the nonlinearities in their costs and constraints through conic bids, and a network operator facing conic operational constraints.
Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach
When energy customers schedule loads ahead of time, this information, if acquired by their energy retailer, can improve the retailer's load forecasts.
Optimization and Control Systems and Control Systems and Control Mathematical Finance
Stochastic Control and Pricing for Natural Gas Networks
Furthermore, the chance-constrained optimization provides the foundation of a stochastic pricing scheme for natural gas networks, which improves on a deterministic market settlement by offering the compensations to network assets for their contribution to uncertainty and variance control.
Optimization and Control
Differentially Private Convex Optimization with Feasibility Guarantees
This paper develops a novel differentially private framework to solve convex optimization problems with sensitive optimization data and complex physical or operational constraints.
Electricity-Aware Bid Format for Heat Commitment and Dispatch
Coordination between heat and electricity markets is essential to achieve a cost-effective and efficient operation of the overall energy system.
