2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA), 2018
This paper proposes a novel approach for the transmission expansion planning (TEP) problem establ... more This paper proposes a novel approach for the transmission expansion planning (TEP) problem establishing a new mathematical DC model that allows a multistage planning considering within its formulation the calculation of technical losses of active power and the redesign and repowering of existing and added network elements. The model takes as a base the disjunctive model formulation which is then complemented with three main groups of constraints regarding the mentioned criteria. A study case is performed on a real electrical system existing in Lima, Peru where a flexible expansion plan is obtained, similar to real options valuation method, that contributes to maximize economic and technical efficiency of public and private investments in TEP.
This paper proposes a dynamic optimization mathematical approach to obtain the optimum mix of dis... more This paper proposes a dynamic optimization mathematical approach to obtain the optimum mix of distributed generation plants with renewable energy resources (RER) necessary to provide reliability to critical electrical systems. This model takes as inputs the energy potential ofwater, wind and solar resources available and injectable in each area, investment and operation and maintenance (O&M) cost ofthese plants and related infrastructure; as well as parameters of existing electrical grid and conventional generation plants. The proposed model is performed for the 8760 hours of a typical year within which it is considered out-of-service states for existing transmission lines and power plants. A robust approach is contemplated though a cost sensibility analysis. The results of the application performed in a real case in Puno, Peru evidence an improvement of approximately 81% and 68% in reliability indexes SAIDI and SAIFI, respectively.
The present paper develops a dynamic optimization mathematical model to obtain the optimum mix of... more The present paper develops a dynamic optimization mathematical model to obtain the optimum mix of generation plants with renewable energy resources (RER) necessary to provide reliability to a radial electrical system. This model takes as inputs the energy potential of water, wind and solar resources available and injectable in the area, capital cost of these plants and related infrastructure; as well as existing electrical grid and conventional generation plants parameters. The optimization process is performed for the 8760 hours of a typical year within which it is considered out of service states for existing transmission lines, bus bars and power plants. Within its stochastic approach it is contemplated a cost sensibility analysis. The real application case’s results evidence an improvement around 90% in the SAIFI and SAIDI performance indexes.
2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA), 2018
This paper proposes a novel approach for the transmission expansion planning (TEP) problem establ... more This paper proposes a novel approach for the transmission expansion planning (TEP) problem establishing a new mathematical DC model that allows a multistage planning considering within its formulation the calculation of technical losses of active power and the redesign and repowering of existing and added network elements. The model takes as a base the disjunctive model formulation which is then complemented with three main groups of constraints regarding the mentioned criteria. A study case is performed on a real electrical system existing in Lima, Peru where a flexible expansion plan is obtained, similar to real options valuation method, that contributes to maximize economic and technical efficiency of public and private investments in TEP.
This paper proposes a dynamic optimization mathematical approach to obtain the optimum mix of dis... more This paper proposes a dynamic optimization mathematical approach to obtain the optimum mix of distributed generation plants with renewable energy resources (RER) necessary to provide reliability to critical electrical systems. This model takes as inputs the energy potential ofwater, wind and solar resources available and injectable in each area, investment and operation and maintenance (O&M) cost ofthese plants and related infrastructure; as well as parameters of existing electrical grid and conventional generation plants. The proposed model is performed for the 8760 hours of a typical year within which it is considered out-of-service states for existing transmission lines and power plants. A robust approach is contemplated though a cost sensibility analysis. The results of the application performed in a real case in Puno, Peru evidence an improvement of approximately 81% and 68% in reliability indexes SAIDI and SAIFI, respectively.
The present paper develops a dynamic optimization mathematical model to obtain the optimum mix of... more The present paper develops a dynamic optimization mathematical model to obtain the optimum mix of generation plants with renewable energy resources (RER) necessary to provide reliability to a radial electrical system. This model takes as inputs the energy potential of water, wind and solar resources available and injectable in the area, capital cost of these plants and related infrastructure; as well as existing electrical grid and conventional generation plants parameters. The optimization process is performed for the 8760 hours of a typical year within which it is considered out of service states for existing transmission lines, bus bars and power plants. Within its stochastic approach it is contemplated a cost sensibility analysis. The real application case’s results evidence an improvement around 90% in the SAIFI and SAIDI performance indexes.
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