A convex optimization based decentralized real-time energy management model with the optimal integration of microgrid in smart grid

Rahim, Sahar; Javaid, Nadeem; Khan, R. D.; Nawaz, Nadia; Iqbal, Muhammad

doi:10.1016/j.jclepro.2019.117688

Cited by 48 publications

(15 citation statements)

References 26 publications

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“…In the electrical power grid operations and planning, the VOLUME 4, 2021 control always resides on the generation side and the power generation plants adjust their electricity generation according to the changes in electricity demand from consumers. Sometimes power generation plants produce surplus electricity, which is transmitted to the nearby area by transmission lines or stored [1]. Therefore, it is of practical importance to balance load demand and electricity supply in the power system.…”

Section: A Background and Motivationmentioning

confidence: 99%

A Bio-Inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

Javaid¹,

Niaz

Almogren

et al. 2021

IEEE Access

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In recent studies, emphasis has been placed on optimal power flow (OPF) problems in traditional thermal, wind, and solar energy sources-based hybrid power systems. Various metaheuristic algorithms have been proposed to find optimal solutions to the OPF problems in the hybrid power system. The OPF, due to the quadratic nature of its primary objective function, is a nonlinear, nonconvex, and quadratic optimization problem. In this study, we have proposed a bio-inspired bird swarm algorithm (BSA) to find an optimal solution to the OPF problem in the hybrid power system because it performs well in the case of optimizing the well-known Rastrigin quadratic benchmark function. In this study, uncertainty of utility load demand and stochastic electricity output from renewable energy resources (RESs) including wind and solar are incorporated into the hybrid power system for achieving accuracy in operations and planning of the system. We have used a modified IEEE-30 bus test system to verify and measure the performance of BSA and a comparison is made with well-known evolutionary metaheuristic algorithms. The proposed BSA consistently achieves more accurate and stable results than other metaheuristic algorithms. Simulation-based optimization results have shown the superiority of BSA approach to solve the OPF problems by satisfying all constraints and minimum power generation cost 863.121 $/h is achieved in case study 1. Simulation-based experiment results have indicated that by imposing the carbon tax (ton/h) the power generation from RESs was increased. In case study 2, the proposed BSA approach has also outperformed and minimum electricity cost 890.728 $/h is achieved as compared to other algorithms.INDEX TERMS Deterministic optimal power flow, Uncertainty of utility load demand, Bio-inspired bird swarm algorithm, Stochastic solar and wind power.

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Section: A Background and Motivationmentioning

confidence: 99%

A Bio-Inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

Javaid¹,

Niaz

Almogren

et al. 2021

IEEE Access

Self Cite

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“…The energy generated for each timeslot

t_{α} - t_{β}

by the PV sources, so the total energy generated by the PV source for each day is computed using the following equation [29–34],

E_{P V} = \sum_{t = t_{ε}}^{t_{β}} E_{P V} (t)

…”

Section: Energy Management Strategy Using Internet Of Things At the D...mentioning

confidence: 99%

Efficient energy management system using Internet of things with FORDF technique for distribution system

Vinjamuri

Rao

2021

IET Renewable Power Gen

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Energy management system for the distribution system using Internet of things with hybrid technique. The proposed hybrid technique is the joined execution of both the fruitfly optimisation algorithm and random decision forest and named as FORDF strategy. The main objective of the proposed system is to optimally manage the power and resources of distribution system by persistently screen the data from the Internet of things-based communication system. In the proposed system, each home device is interfaced with data acquisition module with IP address bringing about a huge work wireless network of devices. So as to encourage the improvement of demand response for distribution system to deal with the energy, the Internet of things-based communication system is utilised. So as to ideally deal with the energy, the optimal load demand prediction and the energy control PROCESSES are handled by the FORDF system. Besides, the optimum utilisation of the accessible resources and the flexibility of such networks are given and expanded by the Internet of things based distribution system. Furthermore the proposed technique is qualified to satisfy the general SUPPLY and energy demand. At long last, the proposed model is implemented in MATLAB/simulink platform and the exhibition is contrasted and different systems 1 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Along with the dual decomposition method, steps 4-9 in Algorithm 1 show the combined application of sub-gradient method to obtain the optimal power allocation value. Simple characteristics, i.e., pre-defined constant step size, of sub-gradient method make it more preferable to be applied compared to the gradient method, which uses a computed instantaneous step size [29]. Once the formulated problem is divided into sub-problems with the aid of Lagrange duality, each subgradient is updated iteratively with a constant step size δ(n) as indicated in step 8 of Algorithm 1.…”

Section: Combinatorial Optimisation Algorithmmentioning

confidence: 99%

Energy-Efficient Joint Base Station Switching and Power Allocation for Smart Grid Based Hybrid-Powered CoMP-Enabled HetNet

Euttamarajah

Tan

2021

Future Internet

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With the rapid proliferation of wireless traffic and the surge of various data-intensive applications, the energy consumption of wireless networks has tremendously increased in the last decade, which not only leads to more CO2 emission, but also results in higher operating expenditure. Consequently, energy efficiency (EE) has been regarded as an essential design criterion for future wireless networks. This paper investigates the problem of EE maximisation for a cooperative heterogeneous network (HetNet) powered by hybrid energy sources via joint base station (BS) switching (BS-Sw) and power allocation using combinatorial optimisation. The cooperation among the BSs is achieved through a coordinated multi-point (CoMP) technique. Next, to overcome the complexity of combinatorial optimisation, Lagrange dual decomposition is applied to solve the power allocation problem and a sub-optimal distance-based BS-Sw scheme is proposed. The main advantage of the distance-based BS-Sw is that the algorithm is tuning-free as it exploits two dynamic thresholds, which can automatically adapt to various user distributions and network deployment scenarios. The optimal binomial and random BS-Sw schemes are also studied to serve as benchmarks. Further, to solve the non-fractional programming component of the EE maximisation problem, a low-complexity and fast converging Dinkelbach’s method is proposed. Extensive simulations under various scenarios reveal that in terms of EE, the proposed joint distance-based BS-Sw and power allocation technique applied to the cooperative and harvesting BSs performs around 15–20% better than the non-cooperative and non-harvesting BSs and can achieve near-optimal performance compared to the optimal binomial method.

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A convex optimization based decentralized real-time energy management model with the optimal integration of microgrid in smart grid

Cited by 48 publications

References 26 publications

A Bio-Inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

A Bio-Inspired Heuristic Algorithm for Solving Optimal Power Flow Problem in Hybrid Power System

Efficient energy management system using Internet of things with FORDF technique for distribution system

Energy-Efficient Joint Base Station Switching and Power Allocation for Smart Grid Based Hybrid-Powered CoMP-Enabled HetNet

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