A review on control strategies for microgrids with distributed energy resources, energy storage systems, and electric vehicles

Nikam, V. S.; Kalkhambkar, Vaiju

doi:10.1002/2050-7038.12607

Cited by 69 publications

(30 citation statements)

References 159 publications

(195 reference statements)

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“…FLC design mainly relies on the selection of input and output scaling factors (SFs) and/or controller parameters. The tuning of SFs is of utmost important as they affect the controller action 23 . Most of the industrial processes are higher‐order and exhibit nonlinear characteristics with ample dead time 29 .…”

Section: Proposed Control Approachmentioning

confidence: 99%

“…Patel et al 21 have suggested a fuzzy tilt‐integral‐derivative controller with filter for frequency stabilization in a hybrid microgrid system while Kumar et al 22 have addressed frequency control of isolated microgrid for stochastic wind and PV variation using autoregressive integrated moving average method. Nikam and kalkhambkar 23 have reviewed different control strategies applied for microgrid control with distributed sources, ESS and EV and have represented a conceptual framework addressing various issues associated with a microgrid.…”

Section: Introductionmentioning

confidence: 99%

“…The behavior of a system depends upon the performance of the controller which ultimately dependent on its optimum parameter values. Various optimization techniques are utilized in the literature to find out the controller parameter values like Particle swarm optimization (PSO), 1,5,6,9 Flower pollination algorithm (FPA), 12 Whale optimization algorithm, 13 Competition over resources algorithm, 23 Salp swarm algorithm (SSA) 24 and Sine cosine algorithm (SCA) 25 . Harris hawks optimization (HHO) 26 a newly suggested optimization technique motivated by the coordinated behavior and chasing style to pounce a prey.…”

Section: Introductionmentioning

confidence: 99%

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Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

Mohanty

Panda

2021

Int Trans Electr Energ Syst

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Summary A considerable number of intermittent renewable resources like photovoltaic generation and wind energy when integrated into the conventional grid technology causes serious issues in the power systems like frequency instability. So an intelligent controller is desired for steady and reliable operation of the electric grid. This paper deals with the frequency control of hybrid power system (HPS) employing a sine cosine adopted Harris' hawks optimization (SCaHHO) technique. The proposed technique aims at improving the performance of the original Harris' hawks optimization (HHO) algorithm by incorporating a sine and cosine function in the calculation of escaping energy and chances of escaping of prey respectively to emphasize the exploitation process of hawks. The effectiveness of the SCaHHO technique is validated with the novel HHO technique as well as moth flame optimization, sine cosine algorithm, grey wolf optimization, salp swarm algorithm and gravitational search algorithm using 23 standard test functions. A non‐parametric statistical investigation is also carried out to verify the effectiveness of the suggested technique. Later the SCaHHO technique is utilized to tune a newly proposed adaptive fuzzy proportional integral derivative controller (AFPID) for frequency control of HPS. The suggested SCaHHO‐tuned AFPID controller achieves an improved control action by moderating the frequency fluctuations as compared to the PID controller. Hardware‐in‐loop validation of the proposed load frequency control scheme is also carried out using OPAL‐RT to measure its fidelity with the numerical simulation results.

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Section: Proposed Control Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

Mohanty

Panda

2021

Int Trans Electr Energ Syst

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“…One of such revolution is the microgrid (MG), which assimilates non‐identical category of energy sources and distributed generations (DGs) units interfaced with power electronics devices. For powering the remote‐area power supply systems and distribution networks, 2 initially AC MG was used. Due to the fact that most of the DGs generate DC power and increased utilization of DC loads in recent years, the DC MG concept was emanated afterwards.…”

Section: Introductionmentioning

confidence: 99%

An improved power control strategy for grid‐connected hybrid microgrid without park transformation and phase‐locked loop system

Ahmad

Mekhilef

Mokhlis

2021

Int Trans Electr Energ Syst

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Summary Voltage source converters are important elements of grid‐connected microgrid, as these integrate distribution generators of microgrid with utility grid. Often due to lack of efficient and flexible control, these converters do not perform as per expectations. Many control methods based on dq current control theory had been developed for grid‐connected microgrids inverters to control power flow between microgrid and grid. However, all these controllers used phase locked loop systems for grid synchronization purposes, which possess slow dynamics and transient response. To overcome these issues, in this article, an improved real and reactive power control method for grid‐connected hybrid microgrid's bidirectional voltage source converter is proposed which is based on the dq current control theory without using phase locked loop system and Park transformation. The proposed power controller has possessed better dynamic performance compared with the conventional power controllers consisted of phase locked loop system. In addition, due to the elimination of phase locked loop system and park transformation not only the computational burden is reduced with the implementation of the proposed power controller, but also steady state performance is enhanced. The control hardware‐in‐loop real time simulation is carried out using real time digital simulator to validate the performance of the proposed power controller during transient state, steady state and power transfer mode by modeling a grid‐connected hybrid microgrid. From the simulation results, it has been observed that the settling time has improved to 0.08 second compared to 0.15 second of conventional controller, power ripples are significantly reduced, and total harmonic distortion of converter output current obtained is 2.226%.

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“…To achieve the economic benefits, a methodology for optimal allocation of renewable distribution is disused in [11] and same methodology is discussed in [12] to minimize the energy loss. Brief discussion of different control strategies is given in [13]. Moreover, authors also proposed an intelligent and Internet of Things (IoT) based control strategies for future clustered micro-grid.…”

Section: Introductionmentioning

confidence: 99%

Multi Objective Based Framework for Energy Management of Smart Micro-Grid

et al. 2020

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The increasing demand of energy in the traditional grids is getting more complex, less feasible, harmful, uneconomical and high in power losses. This paper presents an efficient energy management approach to mitigate such issues with smart micro grid (SMG) and aims at a solution that is both cost effective and ecofriendly, within energy market paradigm. Goals are achieved with the help of Home Energy Management Controller (HEMC), Energy Market Management Controller (EMMC) and Control Agent (CA). The individual load is managed in the presence of local generation, storage system, user comfort, DGs and Utility within energy market paradigm. Two level energy management approach is proposed to achieve concerned goals. First is to manage load and schedule storage with respect to individual local generation and market pricing. Second is to manage energy market with the help of four different types of priorities and control agent input. The problem is solved with a variant of meta-heuristic method, Multi Objective Grey Wolf Optimization (MOGWO), which gives more comprehensive solution by comparing with Particle Swarm Optimization (PSO). The proposed methodology is implemented on a SMG based-community test system. Homes within that community have different economic conditions and personal priorities. Simulation results demonstrates achievement of aimed goals in presented work. INDEX TERMS Control agent, energy market management controller, multi objective grey wolf optimization, home energy management controller, local generation, market management, micro-grid, particle swarm optimization, renewable energy resources

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A review on control strategies for microgrids with distributed energy resources, energy storage systems, and electric vehicles

Cited by 69 publications

References 159 publications

Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

An improved power control strategy for grid‐connected hybrid microgrid without park transformation and phase‐locked loop system

Multi Objective Based Framework for Energy Management of Smart Micro-Grid

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