2013•Unpublished venueRequires access

Analysis and Modeling on Long-Term Generation Resources Optimization

Yaxian Zheng, Xian Zhang

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Abstract

The mathematical model on a long-term generation resources optimization that has complex constraints are established, which include physical constraints of generating equipment, operational constraints formed with resource constraints, operation constraints, network constraints, environmental constraints, unit commitment and energy consumption of real time generation are also considered in the model. Considering that time sequence constraints and continuous constraints are coexisted in the model, independent constraints and combined constraints based on optimization variables are coexisted in the model, discrete and continuous variables are also coexisted in the model, equivalent sampling method based on optimal period are submitted to achieve the equivalent simplification on long-term time series curve, reduce the dimension of optimization model, and ultimately improve the computing efficiency. Load rate is introduced to achieve the conversion between the power and electrical energy, and realize the mixed optimization of power and electrical energy.

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What this paper is about

The mathematical model on a long-term generation resources optimization that has complex constraints are established, which include physical constraints of generating equipment, operational constraints formed with resource constraints, operation constraints, network constraints, environmental constraints, unit commitment and energy consumption of real time generation are also considered in the model. Considering that time sequence constraints and continuous constraints are coexisted in the model, independent constraints and combined constraints based on optimization variables are coexisted in the model, discrete and continuous variables are also coexisted in the model, equivalent sampling method based on optimal period are submitted to achieve the equivalent simplification on long-term time series curve, reduce the dimension of optimization model, and ultimately improve the computing efficiency. Load rate is introduced to achieve the conversion between the power and electrical energy, and realize the mixed optimization of power and electrical energy.

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Available abstract

The mathematical model on a long-term generation resources optimization that has complex constraints are established, which include physical constraints of generating equipment, operational constraints formed with resource constraints, operation constraints, network constraints, environmental constraints, unit commitment and energy consumption of real time generation are also considered in the model. Considering that time sequence constraints and continuous constraints are coexisted in the model, independent constraints and combined constraints based on optimization variables are coexisted in the model, discrete and continuous variables are also coexisted in the model, equivalent sampling method based on optimal period are submitted to achieve the equivalent simplification on long-term time series curve, reduce the dimension of optimization model, and ultimately improve the computing efficiency. Load rate is introduced to achieve the conversion between the power and electrical energy, and realize the mixed optimization of power and electrical energy.

Key concepts: Mathematical optimization, Computer science, Term (time), Dimension (graph theory), Optimization problem, Continuous optimization, Energy consumption, Electricity generation

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