Regulating the integration of renewable energy in Colombia: Implications of Law 1715 of 2014

Gómez, Antonio López; Arredondo, C. A.; Luna, María Virginia; Villegas, S.; Hernández, Johann

doi:10.1109/pvsc.2016.7750280

Cited by 3 publications

(9 citation statements)

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“…To minimize the error introduced by the convexification approach using the Mc-Cormick approximation for the product of two variables, we present an iterative counter t to represent the current values of the model variables (x t ) that serve to determine the new values of these represented with t + 1, i.e., x t+1 . The general convex approximation model for the multi-objective problem of the optimal operation of PV plants considering economic, technical, and environmental objective functions is presented in (21) O.F. :…”

Section: Iterative Solution Approachmentioning

confidence: 99%

“…To recursively solve the approximated convex model ( 21) from the initial operative point (21), the flow chart in Figure 3 To define if the iterative solution approach of the optimization model ( 21) presented in Figure 3 converges to the optimal solution, the following stopping criterion is applied.…”

Section: Iterative Solution Approachmentioning

confidence: 99%

“…Ref. [21] analyzed regulatory scope for integrating renewables in medium and low voltage distribution networks based on the Law 1715 of the Colombian senate. This is the most crucial regulatory scope for integrating any renewable energy resource in the Colombian electric system since this defines all the legal and technical considerations for the massive integration of these devices in the existing passive distribution network, which will cause these networks to become active agents with an essential role in the electricity market.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

2023

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The design of an efficient energy management system (EMS) for monopolar DC networks with high penetration of photovoltaic generation plants is addressed in this research through a convex optimization point of view. The EMS is formulated as a multi-objective optimization problem that involves economic, technical, and environmental objective functions subject to typical constraints regarding power balance equilibrium, thermal conductor capabilities, generation source capacities, and voltage regulation constraints, among others, using a nonlinear programming (NLP) model. The main characteristic of this NLP formulation of the EMS for PV plants is that it is a nonconvex optimization problem owing to the product of variables in the power balance constraint. To ensure an effective solution to this NLP problem, a linear approximation of the power balance constraints using the McCormick equivalent for the product of two variables is proposed. In addition, to eliminate the error introduced by the linearization method, an iterative solution methodology (ISM) is proposed. To solve the multi-objective optimization problem, the weighted optimization method is implemented for each pair of objective functions in conflict, with the main advantage that in this extreme the Pareto front has the optimal global solution for the single-objective function optimization approach. Numerical results in the monopolar version of the IEEE 33-bus grid demonstrated that the proposed ISM reaches the optimal global solution for each one of the objective functions under analysis. It demonstrated that the convex optimization theory is more effective in the EMS design when compared with multiple combinatorial optimization methods.

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Section: Iterative Solution Approachmentioning

confidence: 99%

Section: Iterative Solution Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

2023

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“…Note that the set of constraints ( 5)-( 13) can be understood as follows: Equations ( 5) and ( 6) correspond to the power balance equilibrium evaluated at each node per period of time; Equation (7) represents the voltage drop at each line, which is a function of the active and reactive power flows, as well as the branch parameters (i.e., resistance and inductance) and the current flow though the line that connects nodes i and j; Equation (8) corresponds to the application of Tellegen's second theorem to each sending node i in order to define the apparent power flow leaving it [40]; box-type constraint (9) defines the upper and lower active power generation bounds assigned for a PV source connected at node j for each period of time in the case that the binary variable x j is activated; box-type constraints (10) and (11) define the voltage regulation bounds applicable to all nodes and periods of time, as well as the thermal bounds regarding the distribution lines' current transport capacity; inequality constraint (12) defines the maximum number of renewable sources based on PV technology that can be included into the distribution network under study; Equation ( 13) describes the binary nature of the decision variable x j .…”

Section: Constraintsmentioning

confidence: 99%

“…These small generators can be massively integrated with distribution, and they can drastically change the behavior of the electrical network in terms of voltage profiles, energy losses, power flow directions, and the coordination of protective devices [10]. For this reason, several countries around the world have regulated the integration of small-scale generators in distribution networks to maintain economic and technical equilibrium in the distribution sector [11,12]. On the other hand, distribution companies can also integrate medium-size distributed energy resources in their distribution grids in order to minimize their carbon footprint and increase their profit from the distribution and commercialization of energy as a public service [13].…”

Section: Introduction 1general Contextmentioning

confidence: 99%

An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation

2022

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This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure. The objective function comprises the annual expected energy costs of the conventional substation in addition to the investment and operating costs of PV sources. The original optimization model that represents this problem belongs to the family of mixed-integer nonlinear programming (MINLP); however, the complexity of the power balance constraints make it difficult to find the global optimum. In order to improve the quality of the optimization model, a mixed-integer conic (MIC) formulation is proposed in this research in order to represent the studied problem. Numerical results in two test feeders composed of 33 and 69 nodes demonstrate the effectiveness of the proposed MIC model when compared to multiple metaheuristic optimizers such as the Chu and Beasley Genetic Algorithm, the Newton Metaheuristic Algorithm, the Vortex Search Algorithm, the Gradient-Based Metaheuristic Optimization Algorithm, and the Arithmetic Optimization Algorithm, among others. The final results obtained with the MIC model show improvements greater than USD 100,000 per year of operation. All simulations were run in the MATLAB programming environment, using its own scripts for all the metaheuristic algorithms and the disciplined convex tool known as CVX with the Gurobi solver in order to solve the proposed MIC model.

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Gravitational water vortex hydraulic turbine implementation in Colombia: hydropower potential and prospects

et al. 2023

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The availability of the energy has changed the humanity over the last centuries. The first types of energy used by humanity were renewable energies: biomass, wind, and water. But, for the last two centuries, fossil fuels have been the protagonists of world energy consumption. However, recently there has been an awareness of the great energy dependence on a finite resource, geographically concentrated in a few countries, which in addition to degrading the environment, is subject to large fluctuations in price. From renewable energies, hydroelectricity is currently the most important source in the Latin American electricity matrix. Current projections suggest that the installed hydroelectric capacity will continue to grow to meet future electricity demand. New turbine designs, such as gravitational water vortex hydraulic turbines, have drawn the attention of many researchers due to their easy installation and maintenance, and their low environmental impact. This work presents the hydropower potential and prospects for the implementation of this type of turbine in the Colombian context, and as well as a general description of the current panorama of the Colombian energy system.

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Regulating the integration of renewable energy in Colombia: Implications of Law 1715 of 2014

Cited by 3 publications

References 0 publications

Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

An Efficient Methodology for Locating and Sizing PV Generators in Radial Distribution Networks Using a Mixed-Integer Conic Relaxation

Gravitational water vortex hydraulic turbine implementation in Colombia: hydropower potential and prospects

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