Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems

Khan, Nasim Ali; Ghosh, Sandip; Ghoshal, Sakti Prasad

doi:10.4236/epe.2013.54b192

Cited by 10 publications

(4 citation statements)

References 16 publications

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“…An iterative method based on voltage sensitivity is used to identify the best storage location in [13], sensitivity analysis is used to find the optimal, gas-fired distributed generation capacity locations in the distribution system in [14], while Gravitational Search Algorithm (GSA) and PSOGSA are used to determine multiple distributed generation capacity and location in DS in [15] and [16] respectively. An OPF-based algorithm for siting the aggregated capacity of energy storage was developed to decrease the wind energy curtailment and cost of energy supply in [17].…”

Section: Resultsmentioning

confidence: 99%

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Petinrin¹,

Sanusi²,

Tijani³

et al. 2017

IJMEA

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Abstract:Increasing demand on electrical energy coupled with lack of new distribution facilities create a potential threat that can eventually sprawl to jeopardize the distribution system reliability. The variability characteristics of wind energy sources present a fundamental problem to its smooth integration in the distribution feeders, in a large proportion. Energy storage (ES) systems and demand response (DR) technique have the potential to improve the flexibility of distribution network, by allowing two ways of freedom for the distribution network operator (DNO), to support mitigation of demand-supply balance issues, and thereby the share of renewable energy sources (RESs) or improve penetration levels of renewables. By shifting electricity supply and customer demand patterns, this paper applies real time pricing and energy storage not only to significantly increase the penetration of wind energy, but also to offer other important value to shifts demand to times of relatively high renewable energy resources and low load; and by storing energy during off-peak, with less line losses, and redispatching this energy when needed. The results show that real time pricing and energy storage can effectively provide demand-supply benefits to the distribution network and customers.

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Section: Resultsmentioning

confidence: 99%

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Petinrin¹,

Sanusi²,

Tijani³

et al. 2017

IJMEA

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“…Furthermore, numerous other artificial intelligencebased optimization algorithms that have been proposed in literature for the simultaneous DG/SC allocation includes ant lion optimization (ALO) [25], biogeography-based optimization (BBO) [26], backtracking search algorithm (BSA) [27,28], bacterial foraging optimization algorithm (BFOA) [29], binary collective animal behavior optimization (BCAO) [30], binary GSA (BGSA) [31], cuckoo search algorithm (CSA) [32], differential evolutionary algorithm (DEA) [33], discrete imperialistic competition algorithm (DICA) [34], intersect mutation differential evolution (IDME) [35], G best -guided artificial bee colony algorithm (GABC) [36], memetic algorithm (MA) [37], symbiotic organisms search (SOS) [38], tabu search (TS) [39], and teaching-learning-based optimization [40].…”

Section: Existing Research and Itsmentioning

confidence: 99%

Parameter-Free Improved Best-Worst Optimizers and Their Application for Simultaneous Distributed Generation and Shunt Capacitors Allocation in Distribution Networks

Leghari

Hussain

Memon

et al. 2022

International Transactions on Electrical Energy Systems

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This paper proposes parameter-free two best-worst optimizers (BWOs) that combine the searching capabilities of Jaya and Rao-1 algorithms to intensify their exploration and exploitation capabilities. For the proposed first optimizer, BWO-1, parallel taxonomy has been adopted for the Jaya and Rao-1 combination to obtain dual sets of updated solutions for a given current solution set. For the proposed second optimizer, BWO-2, along with the parallel taxonomy, a subloop of random scaling factors has been introduced in the solution updating mechanism of both standard Jaya and Rao-1 algorithms to generate multiple sets of updated solutions in a single iteration. The best solutions from obtained multiple solution-sets will survive only and lead to the next iteration. Hence, the proposed solution updating mechanisms for BWO-1 and BWO-2 increase the probability of getting a quality solution under set conditions. The ability and scalability of BWO-1 and BWO-2 were assessed, solving the optimization problem of power loss reduction and voltage deviation minimization in the IEEE 33-bus and 69-bus test systems. The results show that the BWO-2 exhibited a lead of 2.97%, 1.83%, and 0.72% over the Rao-1, Jaya, and BWO-1 techniques, respectively. Besides, the BWO-2 achieves up to 38.76% more reduction in power losses against the existing standard, improved, and hybrid optimization techniques.

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“…A comparative analysis with the classical PSO approach and the plant growth simulation algorithm demonstrated the effectiveness of the cuckoo search algorithm in solving the studied problem. Additional optimization algorithms to locate and capacitor banks are the hybrid honey bee colony algorithm [19], the tabu search algorithm [20,21], the vortex search algorithm [22], and the gravitational search algorithm [23], among others. In the case of three-phase asymmetric distribution grids, the authors of [24] presented the application of the imperialist competitive algorithm to locate and size capacitor banks while considering three-phase networks with harmonic pollution.…”

Section: Optimal Placement Of Fixed-step Capacitor Banksmentioning

confidence: 99%

Optimal Phase-Balancing in Three-Phase Distribution Networks Considering Shunt Reactive Power Compensation with Fixed-Step Capacitor Banks

2022

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The black hole optimization (BHO) method is applied in this research to solve the problem of the optimal reactive power compensation with fixed-step capacitor banks in three-phase networks considering the phase-balancing problem simultaneously. A master–slave optimization approach based on the BHO in the master stage considers a discrete codification and the successive approximation power flow method in the slave stage. Two different evaluations are proposed to measure the impact of the shunt reactive power compensation and the phase-balancing strategies. These evaluations include a cascade solution methodology (CSM) approach and a simultaneous solution methodology (SSM). The CSM approach solves the phase-balancing problem in the first stage. This solution is implemented in the distribution network to determine the fixed-step capacitor banks installed in the second stage. In the SSM, both problems are solved using a unique codification vector. Numerical results in the IEEE 8- and IEEE 27-bus systems demonstrate the effectiveness of the proposed solution methodology, where the SSM presents the better numerical results in both test feeders with reductions of about 32.27% and 33.52%, respectively, when compared with the CSM. To validate all the numerical achievements in the MATLAB programming environment, the DIgSILENT software was used for making cross-validations. Note that the selection of the DIgISLENT software is based on its wide recognition in the scientific literature and industry for making quasi-experimental validations as a previous stage to the physical implementation of any grid intervention in power and distribution networks.

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Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems

Cited by 10 publications

References 16 publications

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Real-Time Pricing and Energy Storage for Voltage Improvement in a Distribution Feeder

Parameter-Free Improved Best-Worst Optimizers and Their Application for Simultaneous Distributed Generation and Shunt Capacitors Allocation in Distribution Networks

Optimal Phase-Balancing in Three-Phase Distribution Networks Considering Shunt Reactive Power Compensation with Fixed-Step Capacitor Banks

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