Stochastic optimization of transmission constrained and large scale hydrothermal systems in a competitive framework

Abstract

Ahstract-Optimal operation of hydrothermal systems is very complex hecause it corresponds to a mnltiperiod, stochastic, large scale and characterized hy a nonseparable objective function optimization problem As a result it is traditionally carried out without taking into account transmission constraints or considering them in n very simplified wny. This approach is not adequate lo address certain kind of problems such as cost-benefit studies of transmission interconnections in hydro systems or the study of spatial distributions of spot prices ("zones" identification) through the electric network, due to hydro and power flow constraints. In this paper we address the problem of stochastic optimization of large scale transmission constrained hydrothermal systems with applications to the Brazilian case.

Bilevel optimization applied to strategic pricing in competitive electricity markets

“…The water values were taken from a stochastic hydrothermal scheduling model that is similar to the one used by the Brazilian System Operator [17,28]. When a thermal plant is considered, we have used its operating cost.…”

Energy price prediction multi-step ahead using hybrid model in the Brazilian market

“…The optimization model adopted considers the immediate benefit of using water in the reservoirs (immediate cost) and the future benefits of its storage (future cost), reducing the use of fuel in thermal units [14]. As a consequence, the spot price obtained based on marginal cost of operation is strongly dependent on the water level and inflow energy in reservoir plants, and does not respond directly to load variations as in most energy markets.…”

Modelo de leilão multiperíodo para sistemas hidrotérmicos com representação da transmissão

“…A representação dos sub-mercados/barras/regiões de energia é um aspecto relevante para o ambiente de mercados de energia, já que para um país de dimensões continentais como o Brasil, as características hidrológicas podem variar bastante de região para região, o que pode influenciar os preços, tornando-os regionais, como se espera. A definição de quais submercados/barras/regiões devem ser adotados também é uma questão importante e que tem sido estudada para o modelo atualmente utilizado pelo setor (Granville, et al, 2003).…”