In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for n...In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for network optimization.This study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic RESs.The primary objective is to minimize the total operating costs of RESs,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VSI)and power loss mitigation.Additionally,a carbon tax is included in the objective function to reduce carbon emissions.Thorough scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal solutions.Simulation results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VSI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution quality.Notably,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VSI)effectively.This research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local minima.GBBLCO emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.展开更多
This paper proposes a method to evaluate the reliability of power system with different capacities of wind power while considering carbon tax. The proposed method is a hybrid approach which combines Frequency and Dura...This paper proposes a method to evaluate the reliability of power system with different capacities of wind power while considering carbon tax. The proposed method is a hybrid approach which combines Frequency and Duration (F&D) method and Monte Carlo Simulation (MCS) method. MCS method is used to achieve a model to simulate the random status of power system. Also, the proposed method is applied on the IEEE 14-bus test system to investigate the effects of integrating different capacities of wind energy to the reliability of power system with considering carbon tax.展开更多
The emergence of the energy self-sufficient home presents a new role for government taxation. Policymakers now face the challenge of reflecting this technological change in their decision-making and must assume a grea...The emergence of the energy self-sufficient home presents a new role for government taxation. Policymakers now face the challenge of reflecting this technological change in their decision-making and must assume a greater level of engagement. This paper proposes a number of original fiscal concepts for policymakers to implement in the support of micro-grid development. These are designed to optimise a sustainable transition away from the centralised energy system whilst creating shared value among stakeholders throughout the value chain. Concepts are based on residential micro-grid schemata in Switzerland and are applicable in other countries.展开更多
The slippery slope framework(SSF)of tax compliance postulates that taxpayers’compliance behaviour depends on the two dimensions:trust in authorities and power of authorities.In an attempt to overcome common-method bi...The slippery slope framework(SSF)of tax compliance postulates that taxpayers’compliance behaviour depends on the two dimensions:trust in authorities and power of authorities.In an attempt to overcome common-method biases,the present study tests the main assumptions of the SSF with a sample of 44 countries/regions.Country/region-level trust and power indices are calculated based on experimental data involving 14,509 participants and related to shadow economy estimates and–as an alternative indicator of non-compliance–corruption indices.The results indicate that both trust and power are negatively related to the size of the shadow economy and the extent of corruption.These results emphasise the importance of both SSF dimensions in combating tax evasion and counterproductive behaviour within a society in general.展开更多
在“双碳”目标提出的背景下,为解决火电机组碳排放量高的问题,对其进行CCUS改造(Carbon Capture,Utilization and Storage,碳的捕集、利用与封存)。为了给企业投资CCUS项目提供更多可行性参考,综合当前电-碳双市场发展趋势总结并分析...在“双碳”目标提出的背景下,为解决火电机组碳排放量高的问题,对其进行CCUS改造(Carbon Capture,Utilization and Storage,碳的捕集、利用与封存)。为了给企业投资CCUS项目提供更多可行性参考,综合当前电-碳双市场发展趋势总结并分析了火电机组进行碳捕集、压缩与运输的成本、收益情况及其影响因素,同时对2025-2060年碳捕集和运输成本的变化趋势进行合理预测。将某省火电机组作为典型案例,假设该省火电机组于2022年进行CCUS改造,对其2022-2070年的项目运行及收益情况进行计算与分析,收益中涵盖二氧化碳的地质利用与封存及碳交易。最终得出若2022年进行CCUS项目改造,则预计于2039-2040年间实现收益覆盖成本的目标,且项目周期中碳捕集费用在支出费用中占比最高,此外在整个项目周期中成本占比最高的环节为碳捕集环节等结论。展开更多
基金supported by the Deanship of Postgraduate Studies and Scientific Research at Majmaah University in Saudi Arabia under Project Number(ICR-2024-1002).
文摘In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for network optimization.This study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic RESs.The primary objective is to minimize the total operating costs of RESs,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VSI)and power loss mitigation.Additionally,a carbon tax is included in the objective function to reduce carbon emissions.Thorough scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal solutions.Simulation results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VSI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution quality.Notably,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VSI)effectively.This research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local minima.GBBLCO emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.
文摘This paper proposes a method to evaluate the reliability of power system with different capacities of wind power while considering carbon tax. The proposed method is a hybrid approach which combines Frequency and Duration (F&D) method and Monte Carlo Simulation (MCS) method. MCS method is used to achieve a model to simulate the random status of power system. Also, the proposed method is applied on the IEEE 14-bus test system to investigate the effects of integrating different capacities of wind energy to the reliability of power system with considering carbon tax.
文摘The emergence of the energy self-sufficient home presents a new role for government taxation. Policymakers now face the challenge of reflecting this technological change in their decision-making and must assume a greater level of engagement. This paper proposes a number of original fiscal concepts for policymakers to implement in the support of micro-grid development. These are designed to optimise a sustainable transition away from the centralised energy system whilst creating shared value among stakeholders throughout the value chain. Concepts are based on residential micro-grid schemata in Switzerland and are applicable in other countries.
基金the European Research Council(ERC)under the European Union’s Horizon 2020 research and innovation programme[Grant No.798824]for the drafting of this paper.This work was supported by the European Commission.
文摘The slippery slope framework(SSF)of tax compliance postulates that taxpayers’compliance behaviour depends on the two dimensions:trust in authorities and power of authorities.In an attempt to overcome common-method biases,the present study tests the main assumptions of the SSF with a sample of 44 countries/regions.Country/region-level trust and power indices are calculated based on experimental data involving 14,509 participants and related to shadow economy estimates and–as an alternative indicator of non-compliance–corruption indices.The results indicate that both trust and power are negatively related to the size of the shadow economy and the extent of corruption.These results emphasise the importance of both SSF dimensions in combating tax evasion and counterproductive behaviour within a society in general.
文摘在“双碳”目标提出的背景下,为解决火电机组碳排放量高的问题,对其进行CCUS改造(Carbon Capture,Utilization and Storage,碳的捕集、利用与封存)。为了给企业投资CCUS项目提供更多可行性参考,综合当前电-碳双市场发展趋势总结并分析了火电机组进行碳捕集、压缩与运输的成本、收益情况及其影响因素,同时对2025-2060年碳捕集和运输成本的变化趋势进行合理预测。将某省火电机组作为典型案例,假设该省火电机组于2022年进行CCUS改造,对其2022-2070年的项目运行及收益情况进行计算与分析,收益中涵盖二氧化碳的地质利用与封存及碳交易。最终得出若2022年进行CCUS项目改造,则预计于2039-2040年间实现收益覆盖成本的目标,且项目周期中碳捕集费用在支出费用中占比最高,此外在整个项目周期中成本占比最高的环节为碳捕集环节等结论。
