Energy management in distribution systems, considering the impact of reconfiguration, RESs, ESSs and DR: A trade-off between cost and reliability

Hooshmand, Ehsan; Rabiee, Abbas

doi:10.1016/j.renene.2019.02.101

Cited by 46 publications

(26 citation statements)

References 31 publications

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“…The distribution system load demand pattern, electricity price, and forecasted output power of PVCs and WTs is given in Table 2 [7]. The rated power of WTs, PVCs, and MTs that have been installed in each MG, and the load of MGs are given in [2].…”

Section: Test Study and Simulation Parametersmentioning

confidence: 99%

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Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources

Saki

Rokrok

Abedini

et al. 2020

IET Renewable Power Generation

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Increasing the worldwide efforts towards low-carbon economy, highlights the role of renewable energy resources (RESs) in power systems. The volatility of RESs, however, is a major challenge for system operators, and there is need to deal with their uncertainty. Regarding this, microgrids (MGs), as the clusters of different RESs and other distributed energy resources, should take the responsibility of dealing with uncertainty. To do so, a risk-averse energy management strategy (RA-EMS) is introduced for distribution systems under the penetration of renewable energy-based MGs. The status of the connecting switches between clusters and their interaction with the distribution system is examined in several cases. In addition to wind turbine and photovoltaic as RESs, the MGs are equipped with electric vehicles, as another environmentally friendly forms of technology, demand response program, and micro turbines. The uncertainty of renewable generation is modelled via information gap decision theory (IGDT) technique. To validate the effectiveness of the proposed model, it is tested on 94 bus actual Portuguese distribution test system. The results show the importance of MG clustering in improving the techno-economic characteristics of the distribution system. Also, it is evident from the results that uncertainty of RESs is a crucial factor in MG clustering.

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Section: Test Study and Simulation Parametersmentioning

confidence: 99%

“…Forecasted demand profile, energy price, and output power of WTs and PVCs[7] Hour Demand, % Energy price, $/MWh ω t Status of the keys between clusters…”

mentioning

confidence: 99%

Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources

Saki

Rokrok

Abedini

et al. 2020

IET Renewable Power Generation

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“…One of these strategies is network reconfiguration, which has several advantages for distribution network (DN) such as power loss reduction, reliability improvement, emission reduction, voltage profile improvement etc. The concept of network reconfiguration was defined in [1] as a process of changing the state of manoeuvrable normally opened/ closed switches with objective(s) defined by DSO or distribution companies (DisCos). DN reconfiguration (DNR) and DGs are effective tools to improve the system's operational characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…This idea has been studied in several research works. The optimal location of distributed energy resources (DERs) and DNR was defined in [1]. However, the determination of DGs’ optimal location in a short‐term period is not practical, since the optimal allocation strategies only can be applied to long‐term planning models.…”

Section: Introductionmentioning

confidence: 99%

Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach

Nikkhah

Rabiee

Mohseni‐Bonab

et al. 2020

IET Renewable Power Generation

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Distributed energy resources (DERs) and distribution network reconfiguration have considerable effects on both the economic and operational performance of distribution networks. However, the uncertain nature of renewable energy sources (RESs), wind energy, for instance, can bring about serious challenges to the distribution system operators and distribution companies (DisCos). Therefore, a suitable methodology is a matter of the utmost importance to handle the uncertainty of RESs. In addition, DisCos can benefit from the utilisation of energy storage technologies to increase the penetration of RESs into the system. In this regard, this study proposes a risk-averse energy management strategy (RA-EMS) in the presence of DERs, while the impact of uncertainties of RESs on the optimal configuration of the network is investigated. The uncertainty of RESs is modelled through the information gap decision theory, which has significant advantages such as low computational burden, no need for probability density function, and exact results compared to other methodologies for uncertainty handling. The proposed RA-EMS model is implemented on the IEEE 33-bus distribution system, and its superiority over the scenario-based stochastic programming is demonstrated. The robust configuration of the system against RESs' uncertainty is obtained for different levels of uncertainty radius.

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“…The customer interruption costs are regarded as the social indices which are a function of the outage duration. In [10], a multi‐objective structure is developed for distribution system reconfiguration considering different DERs, energy storages and demand response. Therefore, two indices of energy are not supplied and total energy cost is optimised.…”

Section: Introductionmentioning

confidence: 99%

Stochastic management of automated grids in a social–economic–technical framework considering switching scheme and renewable sources

Mostowfi

Rashidinejad²,

Abdollahi³

2020

IET Generation, Transmission & Distribution

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Energy management in distribution systems, considering the impact of reconfiguration, RESs, ESSs and DR: A trade-off between cost and reliability

Cited by 46 publications

References 31 publications

Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources

Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources

Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach

Stochastic management of automated grids in a social–economic–technical framework considering switching scheme and renewable sources

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