Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez, Ozy D.; Pourakbari‐Kasmaei, Mahdi; Lehtonen, Matti; Mantovani, José Roberto Sanches

doi:10.1049/iet-gtd.2018.6612

Cited by 18 publications

(10 citation statements)

References 34 publications

(71 reference statements)

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“…When substituting α w in PDF and CDF, the Rayleigh model for WT can be obtained as a function of average wind speed according to the Equations (12) and (13).…”

Section: Photovoltaic System (Pvs)mentioning

confidence: 99%

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Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm

et al. 2019

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This article offers a multi-objective framework for an optimal mix of different types of distributed energy resources (DERs) under different load models. Many renewable and non-renewable energy resources like photovoltaic system (PV), micro-turbine (MT), fuel cell (FC), and wind turbine system (WT) are incorporated in a grid-connected hybrid power system to supply energy demand. The main aim of this article is to maximize environmental, technical, and economic benefits by minimizing various objective functions such as the annual cost, power loss and greenhouse gas emission subject to different power system constraints and uncertainty of renewable energy sources. For each load model, optimum DER size and its corresponding location are calculated. To test the feasibility and validation of the multi-objective water cycle algorithm (MOWCA) is conducted on the IEEE-33 bus and IEEE-69 bus network. The concept of Pareto-optimality is applied to generate trilateral surface of non-dominant Pareto-optimal set followed by a fuzzy decision-making mechanism to obtain the final compromise solution. Multi-objective non-dominated sorting genetic (NSGA-III) algorithm is also implemented and the simulation results between two algorithms are compared with each other. The achieved simulation results evidence the better performance of MOWCA comparing with the NSGA-III algorithm and at different load models, the determined DER locations and size are always righteous for enhancement of the distribution power system performance parameters.

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“…When substituting α w in PDF and CDF, the Rayleigh model for WT can be obtained as a function of average wind speed according to the Equations (12) and (13).…”

Section: Photovoltaic System (Pvs)mentioning

confidence: 99%

“…Bacterial Foraging Optimization Algorithm is used to identify the optimum capacity of the DG and DSTATCOM under different load is presented in [11]. A traditional planning approach for electric distribution networks is studied under Voltage-dependent load mode considering other environmental and economic perspectives in [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm

et al. 2019

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“…Some researchers also explored the effects of different taxes on system planning across various time horizons. These studies focused on system expansion planning by considering different tax amounts allocated to carbon reduction in the planning process [24,25]. Additionally, certain articles in this category examined taxes and system planning, taking into account constraints on maximum carbon emissions in the target year [26,27].…”

Section: Introductionmentioning

confidence: 99%

Optimized Tax Policy for Fossil Fuel Power Plants to Improve Social Welfare: A Subsidy-Driven Approach

Shafaghatian,

Hosseini,

Noroozian

2023

Preprint

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One of the challenges of fossil fuel power plants is CO2 emissions. By implementing a tax, the utilization of non-fossil resources can be increased, leading to a reduction in CO2. However, an incorrect tax policy can negatively impact the social welfare index. This paper encompasses the social welfare Index, which incorporates economic, social, and environmental aspects. Furthermore, tax revenue has been allocated as a subsidy to non-fossil producers. The mutual effects of taxation, prices, and subsidies create a loop, wherein the amount paid as a subsidy and received as tax converge in an optimized cycle. Thus, the tax formula presented in this article exhibits two key characteristics: optimality in increasing social welfare and equivalence between the amounts paid and received through its application. The results indicate that an optimized tax formula leads to an increased social welfare index. Additionally, the findings demonstrate that with the increase in the capacity of non-fossil resources, the effect of the tax in improving the social welfare index becomes more significant. However, with continued growth, the impact on social welfare gradually diminishes until the point where further capacity expansion beyond a specific limit will have no effect.

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“…The works described in [7]- [10] model the load behavior using a constant power representation, as it is more practical and easier to implement. However, several studies on the operation of medium-voltage distribution systems have shown that the behavior of load depends on voltage [12] and that correctly modeling this behavior allows for significant reductions in energy consumption, which may have an important impact on the investment plans [13], [14]. Within this context, the incorporation of investment decisions in voltage control equipment, such as CBs and voltage regulators (VRs), in the DSP model becomes more important.…”

Section: Introductionmentioning

confidence: 99%

Multistage Planning Model for Active Distribution Systems and Electric Vehicle Charging Stations Considering Voltage-Dependent Load Behavior

Mejia

Macedo

Muñoz-Delgado

et al. 2022

IEEE Trans. Smart Grid

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This work proposes a novel mixed-integer linear programming model for the medium-term multistage planning of active distribution systems and electric vehicle charging stations (EVCSs). Investment alternatives include the installation of conductors, capacitor banks, voltage regulators, dispatchable and nondispatchable distributed generation, energy storage units, and EVCSs. Hence, the model identifies the best size, location, and installation time for the candidate assets under the uncertainty associated with electricity demand, energy prices, renewable energy sources, and EVCSs' load profiles. Unlike classical planning approaches, conventional load is modeled as voltage-dependent. Besides, EVCSs are planned by zones to optimize the coverage of the service provided to users of electric vehicles and to reduce the discrepancy between the geographical requirements and the optimal locations for the installation of EVCSs in the system. EVCSs' load profiles are calculated using a travel simulation algorithm based on real travel patterns that consider fast, slow, and residential chargers. Moreover, as another salient feature, constraints for CO 2 emissions are incorporated into the model. The resulting model is formulated as a stochastic scenario-based program, which is driven by the minimization of the total expected cost. Tests are conducted using a 69-node system to demonstrate the effectiveness of the proposed model.

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Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Cited by 18 publications

References 34 publications

Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm

Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm

Optimized Tax Policy for Fossil Fuel Power Plants to Improve Social Welfare: A Subsidy-Driven Approach

Multistage Planning Model for Active Distribution Systems and Electric Vehicle Charging Stations Considering Voltage-Dependent Load Behavior

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