Multi-objective optimization strategy of multi-sources power system operation based on fuzzy chance constraint programming and improved analytic hierarchy process

Chen, Yuge; Chen, Changming; Ma, Jien; Qiu, Weiqiang; Liu, Shengyuan; Lin, Zhenzhi; Qian, Minhui; Zhu, Lingzhi; Zhao, Dawei

doi:10.1016/j.egyr.2021.01.070

Cited by 21 publications

(2 citation statements)

References 15 publications

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“…However, these findings might not directly apply to systems incorporating more intricate and diverse power sources. A recent study used the multi-objective optimization strategy of multi-source power system operation based on fuzzy chance constraint programming and an improved analytic hierarchy process [69]. The results from the optimization model proposed in the research enhance the economy, environmental protection, energy savings, and power system stability, leading to better utilization of renewable energy sources.…”

Section: Optimization Of Renewable Energy In South Africamentioning

confidence: 99%

“Towards Sustainable Development: Analyzing the Viability and Integration of Renewable Energy Solutions in South Africa”—A Review

Kumba,

Olanrewaju

2024

Energies

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The global economy faces increasing environmental challenges and economic instability, prompting the adoption of innovative energy technologies as a crucial strategy. This study addresses the urgent quest for sustainable development in South Africa, specifically by evaluating renewable energy solutions. This study utilizes a comprehensive literature analysis to examine the current state of renewable energy infrastructure, policy frameworks, technological advancements, and economic viability within the South African context. Synthesizing insights from the existing literature on the interplay between energy, economy, and technology, this study aims to provide a refined understanding of renewable energy solutions’ feasibility and integration potential. The exploration of these solutions in South Africa identifies key opportunities, challenges, and implications for sustainable development. These findings offer valuable guidance for policymakers, researchers, and stakeholders in advancing a country’s transition towards a sustainable energy future.

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Section: Optimization Of Renewable Energy In South Africamentioning

confidence: 99%

“Towards Sustainable Development: Analyzing the Viability and Integration of Renewable Energy Solutions in South Africa”—A Review

Kumba,

Olanrewaju

2024

Energies

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“…Dano [14] analysed the impacts of flash hazards using AHP and identified the most effective methods to reduce the flash flood impacts using expert's opinions in Jeddah. Chen et al [15] dealt with the uncertainty of the wind power, the load demand, and the multiobjective function by using fuzzy chance constraint programming and improved AHP.…”

Section: Introductionmentioning

confidence: 99%

Consistency Improvement Method of Pairwise Matrix Based on Consistency Ratio Decreasing Rate and Attribute Weighting Method Considered Decision Makers’ Levels in Analytic Hierarchy Process: Application to Hip Joint Prosthesis Material Selection

Yang¹,

Kang²,

Ri³

et al. 2022

Mathematical Problems in Engineering

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Analytic hierarchy process (AHP) is a well-known attribute weighting method in multiattribute decision-making. Its major requirement is to satisfy the consistency of pairwise matrix (PM). To solve this problem, we first propose a new consistency improvement method of PM based on consistency ratio (CR) decreasing rate. In this method, we calculate the CR decreasing rates of all the PMs reconstituted by replacing all elements of the PM with the lower and upper neighbouring 9-point scales and find the element with maximum CR decreasing rate, and then modify it to its lower or upper neighbouring scale. Second, we develop third-order approximate polynomial for random consistency index using least square method. It enables to determine the RI value according to the number of attributes without a numerical table. Third, we propose the final PM determining method and final attribute weighting method considered decision makers’ levels based on the CR values of the individual PMs in case several decision makers perform their own pairwise comparisons. We test the performances of the proposed and some previous consistency improvement methods with two numerical examples. The results demonstrate that the proposed method improves the consistency of PM better and faster with smaller amount of modification than that of the previous methods, while it modify the elements of the PM to 9-point scales, necessarily. We apply the proposed method to hip joint prosthesis material selection. The proposed methods may be widely used in practical applications of AHP.

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Sustainable and 5G enhanced power distribution network design considering renewable energy generation and dynamic electricity pricing

Beyene,

Tsao

2024

Energ. Ecol. Environ.

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Multi-objective optimization strategy of multi-sources power system operation based on fuzzy chance constraint programming and improved analytic hierarchy process

Cited by 21 publications

References 15 publications

“Towards Sustainable Development: Analyzing the Viability and Integration of Renewable Energy Solutions in South Africa”—A Review

“Towards Sustainable Development: Analyzing the Viability and Integration of Renewable Energy Solutions in South Africa”—A Review

Consistency Improvement Method of Pairwise Matrix Based on Consistency Ratio Decreasing Rate and Attribute Weighting Method Considered Decision Makers’ Levels in Analytic Hierarchy Process: Application to Hip Joint Prosthesis Material Selection

Sustainable and 5G enhanced power distribution network design considering renewable energy generation and dynamic electricity pricing

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