Robust unit commitment problem with demand response and wind energy

Wind energy has attracted much attention as a clean energy resource with low running cost over the last decade,. However, due to the unpredictable nature of wind speed, the Unit Commitment (UC) problem including wind power becomes more difficult. Therefore, engineers and researchers are required to seek reliable models and techniques to plan the operation of thermal units in presence of wind farms. This paper presents a new attempt to solve the stochastic UC including wind energy sources. In order to achieve this, the problem is modeled as a chance-constrained optimization problem. Then, a method based on the here-and-now strategy is used to convert the uncertain power balance constraint into a deterministic constraint. The obtained deterministic problem is modeled using Mixed Integer Programming (MIP) on GAMS interface whereas the CEPLEX MIP solver is employed for its solution.

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Implementation of Demand Response Programs on Unit Commitment Problem

Demand Response Application in Smart Grids ◽

10.1007/978-3-030-32104-8_2 ◽

2019 ◽

pp. 37-54

Author(s):

Farkhondeh Jabari ◽

Mousa Mohammadpourfard ◽

Behnam Mohammadi-Ivatloo

Keyword(s):

Demand Response ◽

Unit Commitment ◽

Unit Commitment Problem ◽

Commitment Problem ◽

Demand Response Programs

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Impact of demand response programs in unit-commitment problems in energy optimization

10.33774/miir-2021-bh7q2 ◽

2021 ◽

Author(s):

Caio Costa de Barros Pimentel Luke ◽

Danielle de Freitas ◽

Felipe Atenas Maldonado ◽

Luigi Viola ◽

Tiago Lino Bello ◽

...

Keyword(s):

Demand Response ◽

Power Plants ◽

Unit Commitment ◽

Thermal Power ◽

Unit Commitment Problem ◽

Commitment Problem ◽

System Operator ◽

Pros And Cons ◽

Demand Response Programs ◽

Commitment Problems

Demand response is currently being tested by the Brazilian independent system operator, ONS, and by the trading chamber, CCEE. The program considers the reduction of consumption of some registered clients, as an alternative to dispatching thermal power plants according to merit order. The DESSEM computational tool, developed by CEPEL, is currently run by the ONS to define the next-day dispatch for the whole country. The results obtained using an academic version of DESSEM are used to benchmark and compare DESSEM's performance to relocate the load of demand offered by the operator to different clients under different configurations of the power system. Pros and cons are analyzed for different mathematical formulations, particularly regarding their impact on prices, operating costs, and computational times. Special attention is paid to determining the robustness of the considered models for a variety of optimality requirements for solving the unit-commitment problem.

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