Comparative Performance of Multi-Period ACOPF and Multi-Period DCOPF under High Integration of Wind Power

Abstract

Today, the power system operation represents a challenge given the security and reliability requirements. Mathematical models are used to represent and solve operational and planning issues related with electric systems. Specifically, the AC optimal power flow (ACOPF) and the DC optimal power flow (DCOPF) are tools used for operational and planning purposes. The DCOPF versions correspond to lineal versions of the ACOPF. This is due to the fact that the power flow solution is often hard to obtain with the ACOPF considering all constraints. However, the simplifications use only active power without considering reactive power, voltage values and losses on transmission lines, which are crucial factors for power system operation, potentially leading to inaccurate results. This paper develops a detailed formulation for both DCOPF and ACOPF with multiple generation sources to provide a 24-h dispatching in order to compare the differences between the solutions with different scenarios under high penetration of wind power. The results indicate the DCOPF inaccuracies with respect to the complete solution provided by the ACOPF.

Modelo de programación lineal de operación y multiárea de un sistema eléctrico de potencia

“…Es importante mencionar que en la programación algorítmica se consideran características operacionales de las distintas tecnologías conectadas en el SEP. Por ejemplo, las restricciones de capacidad de rampa de las unidades eléctricas se toman en cuenta en condición de operación normal (Svoboda et al, 1997). En relación a la operación de la unidad eólica, representada por las ecuaciones (4) y ( 5) corresponden a la cantidad de energía eólica disponible y el rango de potencia mínima y máxima que puede producir la central eólica, considerando los parámetros de capacidad y disponibilidad de viento (Larrahondo et al, 2021). El modelo propuesto se prueba en un sistema simple de 3 barras, como se ilustra en la Figura 1.…”

“…Algunos trabajos realizados consideran el factor de capacidad de viento, frecuencia de viento, velocidades de viento, entre otros (Liu et al, 2020;Cassola et al, 2008). En este estudio, para modelar la producción eólica se considera el perfil de la disponibilidad de energía eólica del aerogenerador (Larrahondo et al, 2021), como se observa en la Figura 3. En la Figura 4, se aprecia la carga neta (perfil de color rojo línea continua) y el perfil de demanda esperada (perfil de color azul línea punteada) del sistema.…”

Locational Marginal Price Forecasting Using SVR-Based Multi-Output Regression in Electricity Markets

“…The OPF is an optimization model to find the most economic dispatch of real power considering the network characteristics, the available generation, demand, and operational restrictions [7,8]. The OPF could be expressed as DCOPF or ACOPF [9] for a single period and multi-period evaluation [10].…”

Scheduling of Generation Stations, OLTC Substation Transformers and VAR Sources for Sustainable Power System Operation Using SNS Optimizer

“…Moreover, the produced power from the solar photovoltaic systems, which can be modeled as single and double-diode models [24][25][26][27], were presented through the lognormal probability distribution function. In [28], the OPSO has been discussed for the AC power flow tool where the DC flow tool has been investigated as well by linearizing the Ac variables in the system. In [29], a multi-period OPSO issue has been formulated considering the penetrations of variable renewable sources with uncertainties due to weather fluctuations.…”