Optimal scheduling of thermal-wind-solar power system with storage

Reddy, S. Surender

doi:10.1016/j.renene.2016.10.022

Cited by 202 publications

(86 citation statements)

References 32 publications

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“…The stochastic scenarios of wind speed and solar irradiance values were extracted from the data acquired from the British Atmospheric Data Centre MIDAS database for the years 2010-2014 [48]. As the territory covered by the grid is large it is safe to assume that these measurements will vary noticeably from north to south.…”

Section: Case Studymentioning

confidence: 99%

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Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

Sharifzadeh

Lubiano-Walochik

Shah

2017

Renewable and Sustainable Energy Reviews

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Renewable energies can play an important role in mitigating the emissions associated with electricity power generation and diversification of the energy supply. The challenge is that renewable resources such as wind and solar have intermittent production patterns and their incorporation into conventional electricity grids will increase the degree of uncertainty. The present research proposes a comprehensive framework in which design and operation of the electricity grid are considered simultaneously and the uncertainties in the wind and solar generation as well as demand are systematically taken into account. The case of retrofitting the current UK electricity grid to include 50% renewable power generation by 2030 was posed as the demonstrating example. The research problem was formulated as a piece-wise linear mixed integer optimization under uncertainty and solved using CPLEX v12.0 in GAMS. The results suggested that it is possible to retrofit the electricity grid using renewable generators while optimizing the overall profitability and ensuring the secure supply of electricity. It was also observed that at the price of higher computational costs, stochastic optimization generates more realistic and robust solutions for the design and operation of the smart electricity grid. KeywordsIntegrated renewable energy systems, wind power, solar energy, stochastic mixed-integer optimization, uncertainty. , , ( ) Power generated by i natural gas power plant in scenario s at node n at time t , , ( ) Power generated by k nuclear power plant in scenario s at node n at time t , ( ) Wind power generated in scenario s at node n at time t , ( ) Solar power generated in scenario s at node n at time t , ( ) Power pumped from storage to node n in scenario s at time t , ( ) Power pumped to storage from node n in scenario s at time t cite this publication at: Mahdi Sharifzadeh, Helena Lubiano-Walochik, Nilay Shah. Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and

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Section: Case Studymentioning

confidence: 99%

“…Ruddy [48] studied the optimal scheduling problem under uncertainty in the wind power, solar power and demand and their effects on costs. These author used the two-point estimation method to generate scenarios with different uncertainty percentages.…”

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confidence: 99%

Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

Sharifzadeh

Lubiano-Walochik

Shah

2017

Renewable and Sustainable Energy Reviews

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“…OPF can be much more interesting for users and operators of power systems. This interaction occurs when OPF is restricted with the following rules: The obtained results of OPF have no sensitivity to the initial points. The variation of OPF solutions is compatible with variation of operation constraints. The application programs of OPF are easy for the users. The conventional OPF problems are considered static optimization problems, where they are necessary for continuous equilibrium between the generated and demanded power . The main purpose of OPF is regulation among the generated active power output and voltage magnitude, tap settings of regulating transformers, shunt VAR compensators, and the intended control variables for minimization of fuel cost of generation, total transmission lines (TLs) losses, and voltage stability indices, simultaneously, with reserving PQ bus voltage, generated reactive power, security constraints, and the power system state variables .…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization

Taher¹,

Kamel

Ebeed

2019

Int Trans Electr Energ Syst

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Summary Unified power flow controller (UPFC) is utilized to regulate the bus voltage as well as the power flow through a power system. A solution of optimal power flow (OPF) problems with UPFC is a crucial and complex task due to the required modifications for considering the parameters of UPFC. This work proposes a simplified UPFC modeling into an OPF code in order to avoid the programming complexity. Moreover, the solution of an OPF problem with a UPFC model is obtained by a recent physical‐based optimization technique called lightning attachment procedure optimization (LAPO). Different objective functions including minimizing fuel cost and fuel cost with valve point effect (VPE), reduction of emission, improvement of voltage profile, and improving the voltage stability index are considered. The proposed algorithm is tested using the standard IEEE 30‐bus system. The results obtained by the proposed algorithm are compared with those obtained by other optimization techniques. However, the obtained results verify the applicability of the simplified UPFC model in OPF.

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“…The high variability of renewables, as well as uncertainties at load demand, is also addressed to optimize hybrid energy systems . RES are accommodated in optimal scheduling problems while tackling with the uncertainties related with solar and wind plants . A comprehensive review of optimization techniques and comparison among each other is also provided while focusing on the uncertainty and variability of RES .…”

Section: Introductionmentioning

confidence: 99%

“…17 RES are accommodated in optimal scheduling problems while tackling with the uncertainties related with solar and wind plants. 18 A comprehensive review of optimization techniques and comparison among each other is also provided while focusing on the uncertainty and variability of RES. 19 Bhuvanesh et al solved a multi-objective multistage GEP problem by DE algorithm while taking into account the least green house gas (GHG) emissions.…”

Section: Introductionmentioning

confidence: 99%

Least‐cost generation expansion planning using whale optimization algorithm incorporating emission reduction and renewable energy sources

Nawaz

Malik

Ashraf

2019

Int Trans Electr Energ Syst

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Summary Ever‐increasing energy demand and technology development are continuously pursuing the attention of power system planners to design an optimum strategy for supplying future electrical demand. Generation expansion planning turns out to be a crucial step for an efficient energy management system in a modern power grid. In this paper, a novel whale optimization algorithm with penalty factor approach (WOA‐PFA) framework has been developed to solve a nonlinear, discrete, dynamic, highly complex, heavily constrained GEP problem. Reliability evaluation is accomplished using equivalent energy function approach. A virtual mapping procedure is utilized to add computational strength to the WOA‐PFA framework. Emission reduction is performed by utilizing total emission reduction constraint. The results are organized in four case studies starting with base power plants and adding wind, solar, and solar with storage facility in succession for the rest of case studies. Simulation results prove that the proposed WOA‐PFA shows promising results in terms of the least cost and computational time as compared with the techniques presented in the literature.

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Optimal scheduling of thermal-wind-solar power system with storage

Cited by 202 publications

References 32 publications

Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

Optimal power flow solution incorporating a simplified UPFC model using lightning attachment procedure optimization

Least‐cost generation expansion planning using whale optimization algorithm incorporating emission reduction and renewable energy sources

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