Analysis of electricity supply and demand intra-annual dynamics in Brazil: A multi-period and multi-regional generation expansion planning model

Oliveira, Lucas Lyrio de; Ribeiro, Celma de Oliveira; Qadrdan, Meysam

doi:10.1016/j.ijepes.2021.107886

Cited by 14 publications

(2 citation statements)

References 24 publications

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“…19 is quadratic and can be piecewise linearized by introducing 0-1 variables. Since stage II in the proposed planning framework is a bi-level mixed integer programming problem that cannot be solved by the traditional C&CG algorithm, a nested C&CG algorithm proposed in (Long and Bo, 2012) was adopted to the TRO with integer variables in the second stage. According to the nested C&CG algorithm, the proposed TRO problem is divided into the master problem (MP) and the subproblem (SP) which is divided into the master problem of SP (MP S ) and the subproblem of SP (SP S ).…”

Section: Solution Procedures Based On the Nested Candcg Algorithmmentioning

confidence: 99%

“…The continuous penetration of renewable energy has an impact on the optimization model construction (Deng and Lv, 2020) screened out 34 studies of power system planning considering increasing variable renewable energy, and then the models of which were further deconstructed and compared. A new hierarchical modeling framework that integrates two multi-period and multiregional generation expansion planning models was studied in (Lyrio de Oliveira et al, 2022). While the objective function of most power generation expansion research is the total cost, (Li et al, 2020) focused on increasing the utilization of renewable energy and reducing the renewable energy curtailment., and proposed a new objective function to maximize the accommodation of renewable energy during the planning horizon (Jabarnejad, 2021) integrated dynamic-line rating and transmission switching into the renewable sources generation-expansion planning problem.…”

Section: Introductionmentioning

confidence: 99%

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A two-stage robust generation expansion planning framework for regional integrated energy systems with carbon growth constraints

et al. 2023

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After proposing the carbon peaking and carbon neutrality target, China further proposed a series of specific carbon emission growth limit sub-targets. How to decarbonize the energy system to ensure the realization of the carbon growth limit sub-targets is a meaningful topic. At present, generation expansion planning of renewable energy in integrated energy systems has been well studied. However, few of the existing studies consider specific carbon emission growth targets. To address this research gap, a two-stage robust generation expansion planning framework for regional integrated energy systems with carbon growth constraints is proposed in this paper, which takes into account multiple uncertainties. In this framework, the objective function is to minimize the total operation cost and wind turbine investment cost. The first stage is the decision-making level of the wind turbine capacity configuration scheme. The second stage is the optimal economic dispatching in the worst-case scenario, which is a bi-level problem of max-min form. Thus, the two-stage robust optimization framework constitutes a problem of min-max-min form, which is pretty hard to solve directly with a commercial solver. Therefore, a nested column-and-constraint generation algorithm is adopted and nested iterations are performed to solve the complex problem. Finally, case studies are carried out on a regional electric-gas integrated energy system. The MATLAB/YALMIP simulation platform with the Gurobi solver is used to verify the effectiveness and superiority of the proposed framework. Compared with other four cases, 5,000 Monte Carlo scheduling tests demonstrate that the proposed framework can ensure the system carbon emission to be controlled within a certain limit even in the worst scenario. Due to the consideration of multiple uncertainties, the proposed framework planning results are both robust and economical for investment. This study can provide theoretical support for the actual regional integrated energy system to achieve a certain carbon growth target.

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Section: Solution Procedures Based On the Nested Candcg Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A two-stage robust generation expansion planning framework for regional integrated energy systems with carbon growth constraints

et al. 2023

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Strategic generation expansion planning considering prohibited operating zones: a game-theoretic analysis

2023

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Application of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarios

DeLlano-Paz

Barros

Fernández

2023

Environ Dev Sustain

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The proposed study analyzes the efficiency of the European energy mix of electricity generation technologies from two perspectives: environmental and economic. The context is that of European energy dependence and a technology mix conditioned by the import of fossil fuels. The impact is centered, among other elements, on the leakage of national income and the emission of polluting gases. The aim is to determine the participation that each type of power plant in each country should present in order to minimize the total environmental impact. In order to solve this problem, a double optimization is proposed through the use of two methodologies: one based on a multi-criteria decision-making method (MCDM) model with which to evaluate the environmental performance of each power plant, and a second optimization based on a quadratic model of portfolios modern portfolio theory (MPT), with which to evaluate the efficiency of the portfolio of technologies from the cost/risk binomial. The results confirm that an environmentally efficient portfolio leads to higher levels of economic risk-taking, with a slight increase in the level of assumed cost. Nevertheless, from the results obtained, it is possible to say that hydro (with a share between 11 and 13%) and wind (37–44% mix participation) technologies resulted to be preferred options both environmentally and in terms of minimum risk efficiency. Nuclear power generation stands out as one of the main baseload technologies with shares between 25 and 35% in environmental and cost/risk efficiency. As main findings, Hydro, supercritical lignite, solar PV and wind are identified as preferential technologies to be present in both minimum risk and minimum cost efficient portfolios. In case European Union pursues for minimizing the cost of electricity production, the shares of supercritical lignite, nuclear, solar PV and wind energy go up to the maximum allowed limits. The novelty lies in the application of both methodologies with which to complement the analysis and design efficient portfolios of energy technologies from environmental and economic points of view. One possible future approach would be to assess (with the MPT model) new environmentally optimal portfolios obtained through the application of other MCDM techniques.

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Analysis of electricity supply and demand intra-annual dynamics in Brazil: A multi-period and multi-regional generation expansion planning model

Cited by 14 publications

References 24 publications

A two-stage robust generation expansion planning framework for regional integrated energy systems with carbon growth constraints

A two-stage robust generation expansion planning framework for regional integrated energy systems with carbon growth constraints

Strategic generation expansion planning considering prohibited operating zones: a game-theoretic analysis

Application of modern portfolio theory to the European electricity mix: an assessment of environmentally optimal scenarios

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