Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market

By Javier García-González, Rocío Moraga Ruiz de la Muela, Luz Matres Santos, Alicia Mateo González. IEEE Transactions on Power Systems, 2008

724 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a30ef3a133ccb7f72d8353fe1a77a56e09f87298

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Citations in the corpus

A stochastic dynamic programming model for co-optimization of distributed energy storage (2013, background): “This includes the use of storage to mitigate renewable variability and uncertainty [26, 1,15]; the economic and emissions impacts of storage and renewables [6,17,32, 31]; and using storage to reduce the need for dedicated transmission to deliver renewable energy to load centers [7,33].”
Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “Results for stochastic optimization of pumped hydro resources combined with wind power are found in [183].”
An MILP Based Formulation for Short-Term Hydro Generation Scheduling With Analysis of the Linearization Effects on Solution Feasibility (2013, background): “In recent years it is recognized that hydropower due to its storability is of critical importance in fully utilizing wind generation and ensuring system safety when significant wind power sources are penetrated in the power grid [7], [8].”
Modeling and solving a large-scale generation expansion planning problem under uncertainty (2011, background): “However, integration of wind generation into the electrical grid is problematic due to output uncertainty, caused by weather (wind speed) dependence [26,24,38,50,36,32].”
Wind power forecasting : state-of-the-art 2009. (2009, background): “[356] proposed a stochastic joint optimization model for a generation company to bid wind power into the electricity market.”
A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets (2011, background): “Moreover, the GenCo can lower the uncertainty of its self-scheduling results [15,16].”
Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty (2018, neutral): “Extensive research has been conducted on combined optimization of energy storage and variable renewable generation [4]–[6].”
Coordinated Trading of Wind and Thermal Energy (2011, background): “and functions, an auxiliary binary variable is introduced in [6], [11], and [12] for each period and each scenario.”
Short-Term Trading for a Wind Power Producer (2010, background): “One of them is based on the combined and coordinated use of wind power and energy storage technologies (pumped-storage facilities, compressed air facilities, etc.) [ 8 ]–[11].”