Optimal expansion planning of distribution system using grid-based multi-objective harmony search algorithm

Agajie, Takele Ferede; Khan, Baseem; Alhelou, Hassan Haes; Mahela, Om Prakash

doi:10.1016/j.compeleceng.2020.106823

Cited by 31 publications

(10 citation statements)

References 17 publications

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“…Some studies focus on EP of DES with DG, but they do not consider any ESS (Agajie et al, 2020). ESS can be utilized with PV for EP in order to maximize benefits for DSOs and prosumers.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Ethiopia's load forecasting for 2013-2028 indicates the average LGF is 13.95% (Agajie et al, 2020). Thus, the LGF is determined as constant for load forecasting.…”

Section: Load Forecastingmentioning

confidence: 99%

“…Selecting the low-cost ESS type makes the integration of ESS into DESs more economically feasible (Atwa and El-Saadany, 2010). Detailed information about ESS for RES integration to DES can be found in numerous studies (Agajie et al, 2020;Akinyele et al, 2017;Ata et al, 2019;Chen et al, 2009;Crampes and Trochet, 2019;Eyer and Corey, 2010;Larsen and Sauma, 2021).…”

Section: Introductionmentioning

confidence: 99%

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An expansion planning method for extending distributed energy system lifespan with energy storage systems

Tercan

Elma

Gökalp

et al. 2021

Energy Exploration & Exploitation

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The recent advances in the modern power grids, such as growing energy demand and penetration of higher amounts of distributed energy generators like renewable energy resources, caused additional grid integration challenges for the distributed energy system operators. Besides, deep electrification impacts triggered by a growing share of electric vehicles as additional electric loads made it essential for the distributed energy system operators to re-investigate their upgrade plans in terms of distributed energy system lines and corresponding infrastructure investments. An energy storage system offers the opportunity to use energy flexibly, resulting in deferring the inevitable upgrade costs of the distribution grid elements and increasing the power quality. In this study, a new method is proposed to extend the lifespan of distributed energy systems with an energy storage system and reduce line upgrade costs. The proposed method is tested on the IEEE-33 with different case studies. The findings of this study indicated that the investigated energy storage option has a positive impact on the distributed energy system components and assets in terms of extending their lifespan and helping to mitigate growing demand peaks because of the load increase. According to the results, the proposed method reduces the total cost by up to 66%. Furthermore, the power losses are reduced by an average of 34.8%, and the voltage profiles are improved with the energy storage system.

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“…Some studies focus on EP of DES with DG, but they do not consider any ESS (Agajie et al, 2020). ESS can be utilized with PV for EP in order to maximize benefits for DSOs and prosumers.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Ethiopia's load forecasting for 2013-2028 indicates the average LGF is 13.95% (Agajie et al, 2020). Thus, the LGF is determined as constant for load forecasting.…”

Section: Load Forecastingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An expansion planning method for extending distributed energy system lifespan with energy storage systems

Tercan

Elma

Gökalp

et al. 2021

Energy Exploration & Exploitation

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“…Payback period (PBP) is defned as ratio of total capital cost (TCC) incurred on deployment of RE generators to annual cost saving as described in the following [29]:…”

Section: Analysis Of Cost Benefitsmentioning

confidence: 99%

Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements

Kumar

Swarnkar

Mahela

et al. 2023

International Transactions on Electrical Energy Systems

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This paper presents grid-oriented multiobjective harmony search algorithm (GOMOHSA) to incorporate the multiple grid parameters for minimization of the active power loss, reactive power loss, and total voltage deviations (TVD) in a part of practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in southern parts of Rajasthan state of India. This is achieved by optimal deployment of optimally sized renewable energy (RE) generators using GOMOHSA. Performance indexes such as active power loss minimization index (APMLI), the reactive power loss minimization index (RPMLI), and the total voltage deviation improvement index (TVDII) are introduced to evaluate the health of the test network with different load scenarios. Performance of proposed GOMOHSA has been tested for five different operating scenarios of loads and RE generation. It is established that the proposed GOMOHSA finds the optimal deployment of optimally sized RE generators, and the investment cost of deployment of these RE generators can be recovered within a time period that is less than 5 years. Performance of GOMOHSA is superior compared to a conventional genetic algorithm (GA) in terms of performance indexes, RE generator capacity, payback period, and parameter sensitivity. Study is performed using MATLAB software for loading scenario of base year 2021 and projected year 2031.

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“…82, 000 × 190 × 1000 10 = 1, 558, 000, 000 INR year (10) The payback period (PBP) is expressed as the ratio of capital cost to the total saving cost and is computed using the following expression [29].…”

Section: Creg2021 =mentioning

confidence: 99%

Optimal Placement of Renewable Energy Generators Using Grid-Oriented Genetic Algorithm for Loss Reduction and Flexibility Improvement

Kaushik

Prakash

Mahela³

et al. 2022

Energies

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Optimal planning of renewable energy generator (REG) units helps to meet future power demand with improved flexibility. Hence, this paper proposes a grid-oriented genetic algorithm (GOGA) based on a hybrid combination of a genetic algorithm (GA) and a solution using analytical power flow equations for optimal sizing and placement of REG units in a power system network. The objective of the GOGA is system loss minimization and flexibility improvement. The objective function expresses the system losses as a function of the power generated by different generators, using the Kron equation. A flexibility index (FI) is proposed to evaluate the improvement in the flexibility, based on the voltage deviations and system losses. A power flow run is performed after placement of REGs at various buses of the test system, and system losses are computed, which are considered as chromosome fitness values. The GOGA searches for the lowest value of the fitness function by changing the location of REG units. Crossover, mutation, and replacement operators are used by the GOGA to generate new chromosomes until the optimal solution is obtained in terms of size and location of REGs. A study is performed on a part of the practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Ltd. (RVPN), India for the base year 2021 and the projected year 2031. Load forecasting for the 10-year time horizon is computed using a linear fit mathematical model. A cost–benefit analysis is performed, and it is established that the proposed GOGA provides a financially viable solution with improved flexibility. It is established that GOGA ensures high convergence speed and good solution accuracy. Further, the performance of the GOGA is superior compared to a conventional GA.

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Optimal expansion planning of distribution system using grid-based multi-objective harmony search algorithm

Cited by 31 publications

References 17 publications

An expansion planning method for extending distributed energy system lifespan with energy storage systems

An expansion planning method for extending distributed energy system lifespan with energy storage systems

Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements

Optimal Placement of Renewable Energy Generators Using Grid-Oriented Genetic Algorithm for Loss Reduction and Flexibility Improvement

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