Optimal daily scheduling of reconfiguration based on minimisation of the cost of energy losses and switching operations in microgrids

Nafisi, Hamed; Farahani, Vahid; Abyaneh, Hossein Askarian; Abedi, Mehrdad

doi:10.1049/iet-gtd.2014.0612

Cited by 46 publications

(22 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…"AULD_LT_ac" directly applies the actual data to establish the reconfiguration schedule to show the effectiveness of the proposed method without effect of prediction errors. "GA_BE_pre" is the optimal daily schedule proposed by [20], which combines the GA and an improved branch exchange reconfiguration method, is also a short-term one to decide the SRS. "GA_LT_ac" and "GA_LT_pre" are similar policies as "AULD_LT_ac" and "AULD_LT_pre", but GA is used to decide SRI instead of the AULD, which could show the high efficiency of the AULD method compared the GA alone.…”

Section: Conditions Of Systems and Methods To Confirmmentioning

confidence: 99%

See 1 more Smart Citation

Optimal daily schedule of reconfiguration of distribution system with interconnected photovoltaic generators

Huang

Hara

Kita

2017

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

Network reconfiguration results in voltage deviations because of the time-varying nature of loads. Nowadays, with the integration of renewable energy sources with the power grid, the optimal configuration should be determined taking into account the variations in loads and distributed generations. In this study, a long-term reconfiguration method named the long-term extended flow algorithm, which improves the timeliness of configuration behavior on time-varying loads, is proposed to substitute for the previous short-term ones. Moreover, optimal reconfiguration instants are achieved by a novel approach of optimal daily schedule called accumulation of unbalanced load distribution based on the trade-off between switching operations costs and reduction in voltage deviations. The proposed methods were tested by case studies of two test distribution systems under realtime measured data with the interconnection of photovoltaic generators in the MATLAB environment. By applying the proposed methods, the total operating cost of the network is reduced significantly within reasonable computation time, and its efficiency is also improved compared to fixed configuration, online reconfiguration policies, and daily schedule proposed by previous authors.

show abstract

Section: Conditions Of Systems and Methods To Confirmmentioning

confidence: 99%

“…Sectionalizing switch Although [20] made use of GA to seek the optimal combination of reconfiguration instants, the configuration is obtained by the short-term reconfiguration method, which is successively fixed to operate on the time-varying load for a long period between two reconfiguration instants.…”

Section: Bus Distribution Linementioning

confidence: 99%

Optimal daily schedule of reconfiguration of distribution system with interconnected photovoltaic generators

Huang

Hara

Kita

2017

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

“…In the technical meaning, reconfiguration is considered as the process of grid topology reforming by means of some already installed remotely controlled switches called tie (normal open) and sectionalizing (normal closed) switches [35]. Optimal reconfiguration can benefit the microgrid from different views for example power loss saving [36], voltage level enrichment [37], load balance increase [38], reliability boost [39] and pollution reduction [40]. Unfortunately, the reconfiguration of feeders in the microgrids is not well studied by the researchers in comparison with the rich literature of microgrids with static structure.…”

Section: Res Tmentioning

confidence: 99%

“…Unfortunately, the reconfiguration of feeders in the microgrids is not well studied by the researchers in comparison with the rich literature of microgrids with static structure. In [40], feeder reconfiguration is used to minimize the power losses in the microgrid. Neglecting RESs and the uncertainties of these DERs are some of the main shortages of this work.…”

Section: Res Tmentioning

confidence: 99%

A Secured Energy Management Architecture for Smart Hybrid Microgrids Considering PEM-Fuel Cell and Electric Vehicles

Dong²,

et al. 2020

View full text Add to dashboard Cite

This article assesses the energy management of reconfigurable residential smart hybrid AC/DC microgrids considering the combined heat and power (CHP) loads as well as the electric vehicles charging/discharging behaviors. A holistic model is developed for the proton exchange membrane fuel cell to retrieve the unwanted thermal energy generated at the operation time. The proposed model makes use of the unoccupied capacity of the fuel cell for producing/storing hydrogen for the later usage and increasing its efficiency. A stochastic framework is designed using point estimate method (PEM) to capture the uncertainties of the photovoltaic and wind turbine forecast error, power company price, the operating temperature of the proton exchange membrane fuel cell, the price for natural gas, price for selling hydrogen, and the pressure of the H2 and O2 in the fuel cell stack. The PEM approach has shown superior advantages in terms of accuracy and running time. Considering the complex and nonlinear structure of the proposed framework, a proficient optimization technique based on the teacher learning algorithm (TLA) is devised. A two-phase modification method is proposed to increase the algorithm variety and help its convergence characteristics. The performance of the proposed algorithm is compared with the TLA, particle swarm optimization (PSO) algorithm and genetic algorithm (GA). For enhancing the security of the energy and data transaction within the system, a directed acyclic graph (DAG)-based security framework is introduced to guarantee the performance of the system against the subversive accesses. By using this scheme, the essential data of the units are recorded and secured in the form of public, private and transaction blockchains. The economic characteristics of the proposed method are assessed on a residential hybrid AC-DC microgrid test system.

show abstract

“…Some articles have used short‐term reconfiguration in addition to long‐term traditional reconfiguration method 7 . Short‐term reconfiguration means changing the configuration of DN on an hourly, daily, or weekly basis.…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration of distribution network using discrete particle swarm optimization to reduce voltage fluctuations

Behbahani

Jalilian

Amini

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Reconfiguration of the distribution network (DN) is the changing of status of normally open and close switches for a specific purpose. In this paper, a situation is studied in which a fluctuating load (such as a welder) violates the network power quality (PQ) standards. Therefore, in order to mitigate the emission of the generated flicker, an optimization problem is developed for improving the PQ of the network comprising voltage flicker level and voltage profile in addition to the network power loss as a traditional objective of the DN reconfiguration. The optimization procedure is performed by changing the network configuration using tie and sectionalizing switches. Discrete particle swarm optimization is utilized to optimize the network configuration. The proposed method is evaluated in two DNs. IEEE standard 69‐bus DN and 95‐bus practical Iranian DN are considered as case study networks. The results show the effectiveness of the proposed method for improving the network PQ, especially in case of voltage flicker. The presented studies and procedure will guide the utility engineers in making decisions associated with the choice of reasonable mitigation technique to overcome the identified PQ problems.

show abstract

Optimal daily scheduling of reconfiguration based on minimisation of the cost of energy losses and switching operations in microgrids

Cited by 46 publications

References 32 publications

Optimal daily schedule of reconfiguration of distribution system with interconnected photovoltaic generators

Optimal daily schedule of reconfiguration of distribution system with interconnected photovoltaic generators

A Secured Energy Management Architecture for Smart Hybrid Microgrids Considering PEM-Fuel Cell and Electric Vehicles

Reconfiguration of distribution network using discrete particle swarm optimization to reduce voltage fluctuations

Contact Info

Product

Resources

About