Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management

By Mohammad Shahidehpour, Zuyi Li, H. Yamin. 2002

1,131 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/a093df9c1ecb439d1efd96d1a23508e541403db3

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In Electrical and Electronic Engineering

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Citations in the corpus

Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator (2012, positive): “Therefore, smart control and energy management [4], [9], [10] systems that are different from those commonly used in the past are necessary for efficient operation of modern power systems.”
A State Transition MIP Formulation for the Unit Commitment Problem (2018, background): “Other objectives have also been considered, such as the minimization of no load or turn off costs, maximization of social welfare, or maximization of the profit of generator companies (see [20]).”
Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid (2012, background): “The optimal ESS sizing problem is subject to prevailing system, unit and ESS constraints [13]–[19].”
Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system (2011, background): “The penetration of Distributed Generation (DG) is one of the outcomes of the deregulated energy environment[4,5,6] in addition to the gradual transition from centralized power generation to distributed generation.”
Optimal price and quantity determination for retail electric power contracts (2006, background): “Additional information on electricity markets can be found in [12]–[14].”
MIP Reformulation for Max-Min Problems in Two-Stage Robust SCUC (2017, background): “2569609 Commitment (SCUC) and Economic Dispatch (ED) to clear the market [1], [2].”
Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models (2008, methodology): “This approach was also inspired by the extensive research on demand forecasting, which has generally favored the multi-model specification for short-term predictions (Bunn, 2000, Shahidehpour et al., 2002, Weron, 2006).”
Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market (2009, methodology): “The expected energy not supplied (EENS) [6] and system stability measures are calculated to assess the reliability and security of the plan, respectively.”
Locational marginal price sensitivities (2005, background): “Background on electricity market can be found, for instance, in [28]–[30].”
A Linear-Programming Approximation of AC Power Flows (2012, background): “Optimization of power systems encompasses a broad spectrum of problem domains, including optimal power flow [59, 3, 55, 26, 17, 50, 11, 2, 23, 34, 35], LMP-base market calculations [39, 48, 37], transmission switching [14, 18, 22], real-time security-constrained dispatch [60, 53], day-ahead security”
A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method (2007, background): “Hence, price are local and differ among American regions [4], [5].”
Solving Multi-Objective Economic Dispatch Problem Via Semidefinite Programming (2013, background): “The cost coefficients, power generation limits, and details of the bus and line data can be found in [12], [36] and, [37], respectively.”
An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets (2008, background): “LMP can be different at different buses [15].”
A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading (2009, background): “R ETAILERS take part in power markets by purchasing energy from the futures market and the pool and by selling energy to their clients [1], [2].”
Scheduling and Pricing of Coupled Energy and Primary, Secondary, and Tertiary Reserves (2005, background): “point found in the first sequential steps or on some other objective [5].”
Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models (2006, positive): “In fact a number of authors have reported their excellent performance in STPF (see e.g. González et al., 2005, Rodriguez and Anders, 2004, Shahidehpour et al., 2002).”