Day‐Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs

Reza Naghizadeh Kouchesfahani; Seyed Saeid Mohtavipour; Hamed Mojallali

doi:10.1049/rpg2.70139

journal article Open Access Jan 01, 2025

Day‐Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs

Reza Naghizadeh Kouchesfahani

Seyed Saeid Mohtavipour

Hamed Mojallali

IET Renewable Power Generation Vol. 19 No. 1 · Institution of Engineering and Technology (IET)

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Abstract

ABSTRACT
The growth of penetration of wind sources in the power system along with demand response programmes (DRPs) has led the electricity market and decision‐making process in a complicated pathway. The inherent uncertainty of demand behaviour and wind turbine generation increases the complexity of decision‐making as well. In this research, a new economic index is introduced to assess the feasibility of the mathematical modelling of the power system's economic performance from the consumers' and producers' social welfare perspective. The uncertainty is represented using the empirical cumulative distribution function along with the Monte Carlo method, and a probabilistic market analysis is conducted. The role of the spot market along with different demand response modelling and uncertainty in market clearing is addressed, and the functionality of the model in a comprehensive survey is demonstrated. Real data on an 8‐bus test system is surveyed, and the efficiency of this approach to discovering the locational marginal prices is cleared to empower the independent system operator to monitor the market precisely. The results illustrate that the producer's and customer's costs reduced significantly, and the integration of participants in the spot market increases their profit and income.

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Details

Published: Jan 01, 2025
Vol/Issue: 19(1)
License: View

Authors

R

Reza Naghizadeh Kouchesfahani

Department of Electrical Engineering University of Guilan Rasht Iran

S

Seyed Saeid Mohtavipour

Department of Electrical Engineering University of Guilan Rasht Iran

H

Hamed Mojallali

Department of Electrical Engineering University of Guilan Rasht Iran; Center of Excellence for Mathematical Modeling, Optimization and Combinatorial Computing (MMOCC) University of Guilan Rasht Iran

Cite This Article

Reza Naghizadeh Kouchesfahani, Seyed Saeid Mohtavipour, Hamed Mojallali (2025). Day‐Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs. IET Renewable Power Generation, 19(1). https://doi.org/10.1049/rpg2.70139

Day‐Ahead Electricity Market Planning in the Presence of Wind Farms and Uncertain Customers Considering Demand Response Programs

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