Selection of Distribution Feeders for Implementing Distributed Generation and Renewable Energy Applications

Kroposki, Benjamin; Sen, P.K.; Malmedal, Keith

doi:10.1109/tia.2013.2262091

Cited by 22 publications

(4 citation statements)

References 14 publications

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“…En [74] se implementan estrategias de gestión de demanda para reducir condiciones de sobrecarga, pérdidas de energía y reducir los niveles de congestión en la red, mientras que en [75] se usan estrategias de gestión de demanda para maximizar la cargabilidad de los alimentadores y reducir las pérdidas de energía, de forma simultánea. Otros trabajos como [76], proponen un método para clasificar los alimentadores según la capacidad disponible, de tal forma que puedan ser aprovechados para instalar DERs. En este caso, se calcula la relación entre la capacidad aprovechada de los alimentadores con DERs y la capacidad esperada sin DERs.…”

Section: Estado Del Arte En Técnicas E íNdices Para Medir La Eficienc...unclassified

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Ganguly

Sahoo

Das

2013

Fuzzy Sets and Systems

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Section: Estado Del Arte En Técnicas E íNdices Para Medir La Eficienc...unclassified

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Ganguly

Sahoo

Das

2013

Fuzzy Sets and Systems

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“…It is also an effective approach to improve renewable energy consumption through the electricity market transaction in the long-time scale. By providing ancillary services Melo et al (2018) or making renewable portfolio standards Kroposki et al (2013), users and the power grid company can be incentivized to participate in demand response to increase the consumption of renewable energy. However, these methods do not consider the impact of social factors on demand response in the long-time scales.…”

Section: Introductionmentioning

confidence: 99%

Increasing Renewable Energy Consumption Coordination With the Monthly Interprovincial Transaction Market

et al. 2021

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The limited regulation capacity of the power grid, coupled with the imperfect market mechanism, has squeezed the space for renewable energy consumption in China. This article proposes a renewable energy consumption mechanism through the monthly interprovincial transaction market, to balance the revenue of each market participant and improve the consumption of renewable energy. A new player named “interprovincial traders” is introduced to serve as the middleman for the renewable generation, users, and the power grid company. The main function of “interprovincial traders” is to coordinate and match the user load with the output of renewable energy. In such a market mechanism, the social factors, influenced by the revenue of each trading cycle, are considered in the user responding model from the perspective of consumer psychology. Finally, a two-phase optimization model is proposed to promote renewable energy consumption coordination with the monthly interprovincial market. The optimization model is simulated in a provincial power grid example. The results show that the model can effectively increase the consumption of renewable energy as well as improve the profit of power grid companies and users.

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“…The authors in [28] proposed a method to calculate and rank the feeders' capacity for the implementation of DER, which was calculated based on the peak load with DER and the expected peak load without DER. In [29], a model was proposed to calculate the overall efficiency of DN, including the energy efficiency, asset efficiency, and human resources efficiency, but in this case, a mathematical model to calculate the feeders' usability was also proposed; it aimed to determine how efficiently the DN is used.…”

Section: Introductionmentioning

confidence: 99%

Low-Capacity Exploitation of Distribution Networks and Its Effect on the Planning of Distribution Networks

et al. 2020

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The continuous variation and dispersion of the load demand during a 24-h day are uncontrolled aspects that affect the efficiency, operational conditions, and total cost of the power distribution network. The cost of the network is strongly related to the peak of demand, but the available capacity of the network is not used efficiently during the day because feeders and branches usually work under 70% of their full capacity. In this way, it is necessary to measure how efficiently the distribution network capacity is used and to identify the aspects that can be modified to improve it. This article proposes a new exploitation capacity index to measure the efficiency of a/the whole distribution network throughout the day in relation to the total available capacity of the branches that compose the network. The paper presents the mathematical formulation and the validation process of the index, and then it provides a planning case study in which the index and the total cost of the planning problem are calculated and compared in four different scenarios in which the peak of the load demand changes. The results show a direct relation between the exploitation capacity and the peak of demand, so lower exploitation capacities are strongly related to higher peaks of demand. As for the capital investments for the network planning, it is found that higher peaks of demand involve more upgrade necessities and higher capital investments compared to the other cases.

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Selection of Distribution Feeders for Implementing Distributed Generation and Renewable Energy Applications

Cited by 22 publications

References 14 publications

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Increasing Renewable Energy Consumption Coordination With the Monthly Interprovincial Transaction Market

Low-Capacity Exploitation of Distribution Networks and Its Effect on the Planning of Distribution Networks

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