Strategic approach for reinforcement of intermittent renewable energy sources and capacitor bank for sustainable electric power distribution system

Kayal, Partha; Chanda, Chandan Kumar

doi:10.1016/j.ijepes.2016.04.029

Cited by 63 publications

(50 citation statements)

References 33 publications

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“…This results in variations in its power output, which ultimately deteriorates the power quality i.e., increases the rise and dips of voltage profile, power losses and decreases the voltage stability of the power system. Moreover, the stochastic characteristics of wind speed can be modeled in particular time framework using Weibull probability density function as reported in [36,37,44]. The following Equation (2) represents the Weibull distribution for particular wind speed at t th time hour, given as follows:…”

Section: Wind Speed Modelingmentioning

confidence: 99%

“…The applicability of this model has been employed in a number of solar studies such as [36,37,44]. The following Equations (10)- (12) represent the Beta distribution for particular solar irradiance at t th time as:…”

Section: Solar Irradiance Modelingmentioning

confidence: 99%

“…Moreover, the probabilistic model with different probability distribution functions (PDFs) is often used to calculate the effective power output as introduced from wind and solar DGs. In [34][35][36][37] the time varying stochastic wind and solar PV module were used for the optimal placement and sizing problem of DG. Among them, [37] considers the probabilistic optimal DG placement problem with the wind, solar and capacitors.…”

Section: Introductionmentioning

confidence: 99%

“…In [34][35][36][37] the time varying stochastic wind and solar PV module were used for the optimal placement and sizing problem of DG. Among them, [37] considers the probabilistic optimal DG placement problem with the wind, solar and capacitors. Considering the fact, power production from wind speed and solar irradiance are inherently intermittent and smaller compared to distribution load demand.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

2017

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Abstract:In recent years, renewable types of distributed generation in the distribution system have been much appreciated due to their enormous technical and environmental advantages. This paper proposes a methodology for optimal placement and sizing of renewable distributed generation(s) (i.e., wind, solar and biomass) and capacitor banks into a radial distribution system. The intermittency of wind speed and solar irradiance are handled with multi-state modeling using suitable probability distribution functions. The three objective functions, i.e., power loss reduction, voltage stability improvement, and voltage deviation minimization are optimized using advanced Pareto-front non-dominated sorting multi-objective particle swarm optimization method. First a set of non-dominated Pareto-front data are called from the algorithm. Later, a fuzzy decision technique is applied to extract the trade-off solution set. The effectiveness of the proposed methodology is tested on the standard IEEE 33 test system. The overall results reveal that combination of renewable distributed generations and capacitor banks are dominant in power loss reduction, voltage stability and voltage profile improvement.

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Section: Wind Speed Modelingmentioning

confidence: 99%

Section: Solar Irradiance Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

2017

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“…In [17] a strategic planning approach to find the best allocation for mix renewable energy sources and CBs, where benefits as: minimization of distribution power losses, enhancement of voltage stability, and reduction of carbon-di-oxide emission were considered in this proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems

et al. 2017

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This paper presents an integrated planning framework to optimally determine the location and allocation of renewable-based distributed generation (DG) units, energy storage systems (ESSs), and capacitor banks (CBs). This planning aim at improving the performance of electrical distribution systems (EDSs). In the proposed model, the cost of energy delivered by the substation and the investment costs are minimized. The environmental aspects are taken into account to obtain an efficient environmentally committed plan. The uncertainties due to PV generation and demand profile are considered via external uncertainty indexes in a deterministic environment. The proposed model is a mixed-integer nonlinear programming (MINLP) problem, which is recast to a mixed-integer linear programming (MILP) problem using appropriate linearization techniques. This approximated MILP model is implemented in the mathematical language AMPL, while the commercial solver CPLEX is used to obtain the global optimal solutions. The proposed model is validated by testing on a medium voltage distribution system with 135 nodes under different conditions and topologies.

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An efficient framework for integrating distributed generation and capacitor units for simultaneous grid‐connected and islanded network operations

Leghari

Hassan

Said

et al. 2021

Intl J of Energy Research

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This paper proposes a two-stage planning approach for the efficient utilization of distributed generation (DG) and capacitor banks (CBs) for the simultaneous grid-connected and islanded operations of the balanced distribution networks.The first stage determines the optimal installation locations and capacities of DGs and CBs using an improved variant of the Jaya optimization algorithm (IJaya) to minimize the power losses and voltage deviation during the gridconnected operation of the distribution network. The second stage identifies the optimal operating point of the DG and CB combination to carry the maximum load during the islanded network operation under power supply-demand imbalance conditions. For the second stage, an analytical approach is proposed to identify the best operating power factor for the DG-CB combination, calculating the power loss, and under-utilization of the installed real-reactive power sources. Simulation results on the IEEE 33-bus grid-dependent distribution network demonstrate that the proposed IJaya significantly improved the network performance and outperforms various existing optimization methods. In addition, during the network's islanded operation, maintaining the network power factor equal to the source power factor (pf source ) makes the DG-CB combination operate at their rated capacities.

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Strategic approach for reinforcement of intermittent renewable energy sources and capacitor bank for sustainable electric power distribution system

Cited by 63 publications

References 33 publications

Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

Optimal siting and sizing of renewable energy sources, storage devices, and reactive support devices to obtain a sustainable electrical distribution systems

An efficient framework for integrating distributed generation and capacitor units for simultaneous grid‐connected and islanded network operations

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