Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints

Nguyen, Thuan Thanh; Dinh, Bach Hoang; Pham, Thai Dinh; Nguyen, Thang Trung

doi:10.3390/su12187806

Cited by 16 publications

(11 citation statements)

References 36 publications

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“…where Q cj is the reactive power generation of the jth capacitor and Q c,max is the maximum reactive power generated by all capacitors. As demonstrated in [62], the maximum compensated power of capacitors could not be higher than the total reactive power of all loads because the redundant reactive power will continue to flow into other nodes where reactive power is necessary. e active power flows will cause power loss unintentionally.…”

Section: Constraintsmentioning

confidence: 99%

“…Fitness function must be calculated to reflect the quality of solutions. In the problem, fitness function is the sum of objective function and penalty terms, in which objective function (obj) can be either TPL in equation (1) or TC in equation 2, whereas the penalty terms are always the penalty of the violation of the branch current and penalty of the violation of node voltage [62].…”

Section: Fitness Functionmentioning

confidence: 99%

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Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm

et al. 2021

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In this paper, a proposed modified stochastic fractal search algorithm (MSFS) is applied to find the most appropriate site and size of capacitor banks for distribution systems with 33, 69, and 85 buses. Two single-objective functions are considered to be reduction of power loss and reduction of total cost of energy loss and capacitor investment while satisfying limit of capacitors, limit of conductor, and power balance of the systems. MSFS was developed by performing three new mechanisms including new diffusion mechanism and two new update mechanisms on the conventional stochastic fractal search algorithm (SFS). As a result, MSFS can reduce 0.002%, 0.003%, and 0.18% of the total power loss from SFS for the three study systems. As compared to other methods, MSFS can reduce power loss from 0.07% to 3.98% for the first system, from 3.7% to 7.3% for the second system, and from 0.92% to 6.98% for the third system. For the reduction of total cost, the improvement level of the proposed method over SFS and two other methods is more significant. It is 0.03%, 1.22%, and 5.76% for the second system and 2.31%, 0.87%, and 3.77% for the third system. It is emphasized that the proposed method can find the global optimal solutions for all study cases while SFS was still implementing search process nearby or far away from the solutions. Furthermore, MSFS can converge to the best solutions much faster than these compared methods. Consequently, it can be concluded that the proposed method is very effective for finding the best location and size of added capacitors in distribution power systems.

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Section: Constraintsmentioning

confidence: 99%

Section: Fitness Functionmentioning

confidence: 99%

Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm

et al. 2021

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“…The conventional power system enables the energy flow at the longer electrical distance leading to excessive power losses. About 13 % of the losses in electrical power system occur at distribution systems [1]. A considerable contributing factor in these losses is the excessive reactive power demand at the distribution level, which negatively impacts the voltage profile of the system [2].…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Support in Radial Distribution Network Using Mine Blast Algorithm

Shahzad

Shafiullah

Akram

et al. 2021

ELEKTRON ELEKTROTECH

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The passive power distribution networks are prone to imperfect voltage profile and higher power losses, especially at the far end of long feeders. The capacitor placement is studied in this article using a novel Mine Blast Algorithm (MBA). The voltage profile improvement and reduction in the net annual cost are also considered along with minimizing the power loss. The optimization problem is formulated and solved in two steps. Firstly, the Voltage Stability Index (VSI) is used to rank the nodes for placement of the capacitors. Secondly, from the priority list of nodes in the previous step, the MBA is utilized to provide the optimal location and sizes of the capacitors ensuring loss minimization, voltage profile improvement, and reduced net annual cost. Finally, the results are tested on 33 and 69 radial node systems in MATLAB. The results for the considered variables are presented which show a significant improvement in active and reactive power loss reduction and voltage profile with lesser reactive power injection.

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“…In similar to [35], a new pathfinder algorithm (PFA) is proposed for obtaining simultaneous optimal network reconfiguration and DG allocation. Similarly, hybrid genetic particle swarm optimization (HGPSO) [36], stochastic fractal search optimization algorithm (SFSOA) [37] and biogeography-based optimization (BBO) [38] are some of such recent meta-heuristic approaches for solving optimal allocation of DGs problem considering technical aspects. Further, the reader can also find recent reviews on distribution system performance improvement via optimal allocation of DGs, CBs and network reconfiguration and their combination [39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Future search algorithm for optimal integration of distributed generation and electric vehicle fleets in radial distribution networks considering techno-environmental aspects

Janamala

Kumar²,

Pandraju³

2021

SN Appl. Sci.

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In this paper, a new nature-inspire meta-heuristic algorithm called future search algorithm (FSA) is proposed for the first time to solve the simultaneous optimal allocation of distribution generation (DG) and electric vehicle (EV) fleets considering techno-environmental aspects in the operation and control of radial distribution networks (RDN). By imitating the human behavior in getting fruitful life, the FSA starts arbitrary search, discovers neighborhood best people in different nations and looks at worldwide best individuals to arrive at an ideal solution. A techno-environmental multi-objective function is formulated using real power loss, voltage stability index. The active and reactive power compensation limits and different operational constraints of RDN are considered while minimizing the proposed objective function. Post optimization, the impact of DGs on conventional energy sources is analyzed by evaluating their greenhouse gas emission. The effectiveness of the proposed methodology is presented using different case studies on Indian practical 106-bus agriculture feeder for DGs and 36-bus rural residential feeder for simultaneous allocation of DGs and EV fleets. Also, the superiority of FSA in terms of global optima, convergence characteristics is compared with various other recent heuristic algorithms.

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Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints

Cited by 16 publications

References 36 publications

Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm

Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm

Reactive Power Support in Radial Distribution Network Using Mine Blast Algorithm

Future search algorithm for optimal integration of distributed generation and electric vehicle fleets in radial distribution networks considering techno-environmental aspects

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