Power System Optimization Modeling in GAMS

Soroudi, Alireza

doi:10.1007/978-3-319-62350-4

Cited by 292 publications

(263 citation statements)

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“…This is because an ESS can also absorb energy when prices are low or excessive generation occurs. After that, when prices are high or when electricity is low, it returns this energy [26]. There are many technologies available for ESSs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Different objective features associated with an ESS are used in power system optimization [26]. Some of them compensate for grid voltage changes [27] and overcome the destabilizing impact of instant steady energy loads in DC microgrids [29].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The suggested problem of optimization was modeled and to solve the problem, a GAMS (General Algebraic Modeling System) code was created. The references [26,74] explain the development of GAMS codes.…”

Section: Optimal Sizing Of An Essmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

2019

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In this paper, based on stochastic optimization methods, a technique for optimal sizing of battery energy storage systems (BESSs) under wind uncertainties is provided. Due to considerably greater penetration of renewable energy sources, BESSs are becoming vital elements in microgrids. Integrating renewable energy sources in a power system together with a BESS enhances the efficiency of the power system by enhancing its accessibility and decreasing its operating and maintenance costs. Furthermore, the microgrid-connected BESS should be optimally sized to provide the required energy and minimize total investment and operation expenses. A constrained optimization problem is solved using an optimization technique to optimize a storage system. This problem of optimization may be deterministic or probabilistic. In case of optimizing the size of a BESS connected to a system containing renewable energy sources, solving a probabilistic optimization problem is more effective because it is not possible to accurately determine the forecast of their output power. In this paper, using the stochastic programming technique to discover the optimum size of a BESS to connect to a grid-connected microgrid comprising wind power generation, a probabilistic optimization problem is solved. A comparison is then produced to demonstrate that solving the problem using stochastic programming provides better outcomes and to demonstrate that the reliability of the microgrid improves after it is connected to a storage system. The simulation findings demonstrate the efficacy of the optimum sizing methodology proposed.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

2019

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“…(1) Develop an optimal market operation model with commercial optimization software, general algebraic modeling system (GAMS) [32], under the practical rule of the Korean power market operation with real data for 241 generators composing the Korean power system.…”

Section: Simulation For An Impact Assessment Of Electric Vehicle Diffmentioning

confidence: 99%

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

et al. 2018

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Abstract:The market share of electric vehicles is growing and the interest in these vehicles is rapidly increasing in industrialized countries. In the light of these circumstances, this study provides an integrated policy-making package, which includes key features for electric vehicle diffusion and its impact on the Korean power market. This research is based on a quantitative analysis with the following steps: (1) it analyzes drivers' preferences for electric or traditional internal combustion engine (ICE) vehicles with respect to key automobile attributes and these key attributes indicate what policy makers should focus on; (2) it forecasts the achievable level of market share of electric vehicles in relation to improvements in their key attributes; and (3) it evaluates the impact of electric vehicle diffusion on the Korean power market based on an achievable level of market share with different charging demand profiles. Our results reveal the market share of electric vehicles can increase to around 40% of the total market share if the key features of electric vehicles reach a similar level to those of traditional vehicles. In this estimation, an increase in the power market's system generation costs will reach around 10% of the cost in the baseline scenario, which differs slightly depending on charging demand profiles.

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“…This is why previous research has used evolutionary algorithms such as Particle Swarm Optimization (PSO) [32,33], Imperialist Algorithm [34] or non-linear programing [35,36]. But, among all optimization methods, linear programming is in preference to others due to two main superiorities; assuring the global optimum of a problem in convex models and the capability to be implemented in large scale cases.…”

Section: Introductionmentioning

confidence: 99%

Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

et al. 2018

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This paper presents a mathematical linear expansion model for the probabilistic Multistage Phasor Measurement Unit (PMU) Placement (MPP) in which zero-injection buses (ZIBs), as well as communication channel limitations, are taken into consideration. From the linearization perspective, presenting a model formulizing the probabilistic concept of observability while modelling the ZIB is of great significance, and has been done in this paper for the first time. More importantly, the proposed probabilistic MPP utilizes a technique disregarding the prevalent subsidiary optimizations for each planning stage. Although this technique, in turn, increases the problem complexity with manifold variables, it guarantees the global optimal solution in a wider and thorough search space; while in the prevalent methods, some parts of the search space might be missed. Furthermore, the proposed model indicates more realistic aspects of the MPP where system operators are allowed to follow their intention about the importance of buses such as strategic ones based on monitoring the priority principles. In addition, the model is capable of considering the network topology changes due to long-term expansions over the planning horizon. Finally, in order to demonstrate the effectiveness of the proposed formulation, the model is conducted on the IEEE 57-bus standard test system and the large scale 2383-bus Polish power system.

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Power System Optimization Modeling in GAMS

Cited by 292 publications

References 0 publications

Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

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