A multi-band uncertainty set robust method for unit commitment with wind power generation

Li, Jinghua; Zhou, Shuang; Xu, Yifu; Zhu, Mengshu; Liu, Ye

doi:10.1016/j.ijepes.2021.107125

Cited by 10 publications

(2 citation statements)

References 30 publications

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“…The researchers developed various approaches for solution of PBUC problems which are Stochastic optimization approach (2) , Branch and reduce optimization navigator (3) , robust optimizations (4) , Emerald algebraic modeling system with BARON solver (5) , Two-layer nested optimization method (6) , moth fly optimization with levy flight search (7) , Monarch butterfly optimization (8) , modified bald eagle search Algorithm (9) , binary differential evolution and binary local search optimizer (10) , IPPD table and Analytical Hierarchy method (11) , BARON solver (12,13) , Enhanced-interval linear programming (14) and Harris Hawks Optimizer (15) .…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

Kamalanathan,

Asokan

2023

IJST

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Objectives:The main objective of this present work is to maximize the profit of Power Generation Companies (GENCOs) and minimize the environmental emissions in a competitive electricity Market. The unit commitment methodology is considered to enhance the profit of GENCOs. Here, the steam plants are integrated with wind farms to improve the income of GENCOs. Methods: A novel nature-inspired human-based optimization algorithm of Corona Virus Herd Immunity Optimizer (CVHIO) is proposed for solution of this problem. Initially, the searching parameters of CVHIO determine the best scheduling of thermal and wind generators. Then the CVHIO efficiently optimizes the thermal and wind variables like real power, reserve power allocation and wind speed. Findings: Numerical example with IEEE 39 bus test system (10 thermal units 24 hours) integrated with two wind generating forms is considered to assess the performance of planned CVHIO. The obtained simulation results of Thermal power, Wind power; Reserve power, Emission level, Revenue, Total operating cost and Profit are tabulated. Novelty: The CVHIO is recently developed powerful optimizer and parameter free algorithm, so easily reaches the global optimal solutions. The final outcomes of this approach are analyzed with other conventional and intelligent techniques for validating the superiority of devised algorithm.

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Section: Introductionmentioning

confidence: 99%

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

Kamalanathan,

Asokan

2023

IJST

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“…In [8], a robust optimization approach was proposed to adapt to wind output uncertainty. In [9], the difference between multi-band robust optimization and Seng-Cheol robust optimization was analyzed. This study also improved the multi-band robust optimization parameter setting method based on the wind power sample.…”

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confidence: 99%

Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based

Hao¹,

Su²,

Lei³

2022

Energy Engineering

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Renewable energy sources (RES) such as wind turbines (WT) and solar cells have attracted the attention of power system operators and users alike, thanks to their lack of environmental pollution, independence of fossil fuels, and meager marginal costs. With the introduction of RES, challenges have faced the unit commitment (UC) problem as a traditional power system optimization problem aiming to minimize total costs by optimally determining units' inputs and outputs, and specifying the optimal generation of each unit. The output power of RES such as WT and solar cells depends on natural factors such as wind speed and solar irradiation that are riddled with uncertainty. As a result, the UC problem in the presence of RES faces uncertainties. The grid consumed load is not always equal to and is randomly different from the predicted values, which also contributes to uncertainty in solving the aforementioned problem. The current study proposes a novel two-stage optimization model with load and wind farm power generation uncertainties for the security-constrained UC to overcome this problem. The new model is adopted to solve the wind-generated power uncertainty, and energy storage systems (ESSs) are included in the problem for further management. The problem is written as an uncertain optimization model which are the stochastic nature with security-constrains which included undispatchable power resources and storage units. To solve the UC programming model, a hybrid honey bee mating and bacterial foraging algorithm is employed to reduce problem complexity and achieve optimal results.

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A multi-band uncertainty set robust method for unit commitment with wind power generation

Cited by 10 publications

References 30 publications

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based

Adjustable robust interval economic dispatch of integrated electricity and district heating systems under wind power uncertainty

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