A novel approach for optimal power scheduling of distributed energy resources in microgrids

Askarzadeh, Alireza; Gharibi, Mahdi

doi:10.1007/s00500-021-06502-w

Cited by 9 publications

(5 citation statements)

References 55 publications

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“…In order to provide a more effective way for intensification, CSA dd has been introduced in [22]. Compared to CSA d , in CSA dd , crows a , b and c crows are randomly selected from the population but to obtain the value of

{M}^{q,g}

, the crow are arranged so that the value of objective function related to crow a is less than crows b and c .…”

Section: Search Methodsmentioning

confidence: 99%

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

Alipour,

Askarzadeh

2023

IET Renewable Power Gen

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Among the distribution network planning problems, allocation of transformers is one of the most important and challenging ones. On the other hand, owing to the widespread growth of distributed generations (DGs), their inclusion in the planning problems is vital. This paper proposes an efficient optimization framework for simultaneous allocation of photovoltaic (PV) systems and service transformers in the distribution network. For this aim, to improve the network performance, location and size of the transformers and PV units are optimally determined. Due to the difficulty of the planning problem, four variants of crow search algorithm (CSA) including original CSA, differential CSA (CSAd), directed differential CSA (CSAdd) and chaotic directed differential CSA (CSAcdd) are introduced and applied to the planning problem. To evaluate the impact of PV cost on the results, the planning problem is solved considering different PV system costs. Simulation results show that at the price of $1.25/W, installation of PV systems is cost‐effective, so that over the case study, 400 kW PV system was installed. By decreasing the PV price to $1.2/W, the maximum capacity considered for a PV system is installed. Moreover, on average, CSAd produces more accurate and robust results than the other studied algorithms.

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{M}^{q,g}

, the crow are arranged so that the value of objective function related to crow a is less than crows b and c .…”

Section: Search Methodsmentioning

confidence: 99%

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

Alipour,

Askarzadeh

2023

IET Renewable Power Gen

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“…In References 26,27, authors have found that MO‐CSA produces better results than MO PSO (MO‐PSO) and NSGA‐II on sizing HESs. On the other hand, in Reference 28, based on Wilcoxon signed ranks test (a nonparametric statistical hypothesis test), it has been shown that CSA finds more promising results than PSO and GA variants. In Reference 29, authors have used a chaotic operator to enhance the performance of MO‐CSA and they have found that the chaotic variant produces competitive results compared to MO‐CSA.…”

Section: Methodsmentioning

confidence: 99%

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

Bagherdoost,

Askarzadeh

2023

Env Prog and Sustain Energy

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Hybridization of photovoltaic (PV) module (as a non‐dispatchable resource), diesel generator (as a dispatchable source), and pumped hydro storage (PHS) (as an energy storage) can provide a promising hybrid energy system (HES). The main outlook of the present study is to develop an efficient multi‐objective framework for optimal design of an off‐grid PV/diesel/PHS HES in which a wide range of parameters related to PHS system is optimized. In the optimization framework, nine decision variables (number of PV modules, number of diesel generators, reservoir installation height, reservoir depth, reservoir diameter, pump's rated power, turbine's rated power, charge pipe diameter, and discharge pipe diameter) are optimized with respect to two objective functions: total net present cost (TNPC) and loss of power supply probability (LPSP). To determine how TNPC is affected by the change of the input variables, a sensitivity analysis is conducted by varying capital cost of PV, PHS, and diesel generator. To obtain a well‐distributed and widely spread Pareto front, a multi‐objective chaotic crow search algorithm (MO‐CCSA) is introduced. Simulation results show that at LPSP = 0% and 5%, levelized cost of energy is around 0.59 and 0.55 $/kWh, respectively. Moreover, variation of the PV capital cost has a significant impact on the TNPC value.

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“…It assumes that an energy market publishes hourly dynamic energy prices in a day-ahead manner and that customer hourly demand is also known a day in advance. In [23], a hybrid GA-Simulated Annealing (SA) technique is proposed to schedule the power loads of a microgrid in an industrial zone to reduce the quantity of power drawn from the main grid. Here, GA is used to design the schedule, and SA is used to optimize the parameters.…”

Section: B Meta-heuristic Methodsmentioning

confidence: 99%

A Review on Optimal Power Scheduling Techniques

Mohanan

Ebenezer

2023

2023 International Conference on Control, Communication and Computing (ICCC)

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The electricity supply system is currently operated with a major contribution of grid power and a small percentage of Renewable Energy Sources(RES) which is used according to availability and demand. But the significance of RES in the power market is increasing and it can impact energy sharing greatly in the future. Electric Vehicles(EVs) are becoming more popular and can be considered as an essential load. Proper scheduling of load and RES plays a vital role in minimizing the cost of electricity and peak demand. This paper aims to review different techniques to optimally schedule power, compare various optimization algorithms based on their objectives, and discuss future trends. To gain a general understanding of the global implications of research on this topic, a bibliometric study is also carried out.

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A novel approach for optimal power scheduling of distributed energy resources in microgrids

Cited by 9 publications

References 55 publications

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

A Review on Optimal Power Scheduling Techniques

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