Hybrid Allocation of Capacitor and Distributed Static Compensator in Radial Distribution Networks Using Multi-Objective Improved Golden Ratio Optimization Based on Fuzzy Decision Making

Noori, Alireza; Zhang, Yiming; Nouri, Negar; Hajivand, Mohammad

doi:10.1109/access.2020.2993693

Cited by 13 publications

(6 citation statements)

References 35 publications

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“…Proposed by A. Noori et al is a hybrid allocation of capacitors and distributed static compensators in power distribution systems through multi-objective improved golden ratio optimization method (MOIGROM) and a fuzzy decision making process [3]. In this case, the MOIGROM has two objectives, including voltage violations and total installation cost corresponding to the equipment and related active power losses.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It was found that typical objectives for capacitor planning generally include the minimization of active power losses and investment [3], [4], [6]. Constraints were also sometimes applied concurrently with the optimization or afterward upon the resulting Pareto set to ensure power system operational compliance for proposed capacitor configurations by limiting voltage violations and THD [5]- [7], [15].…”

Section: Figurementioning

confidence: 99%

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Optimal Capacitor Placement and Rating for Large-Scale Utility Power Distribution Systems Employing Load-Tap-Changing Transformer Control

et al. 2023

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Significant opportunity for savings in energy and investment through improved performance of power distribution systems exists in the optimal placement and rating of capacitors, a conventionally costeffective and popular reactive power compensating technology. A novel optimal capacitor planning (OCP) procedure is proposed for large-scale utility power distribution systems, which is exemplified on an existing utility circuit of approximately 4,000 buses. An initial sensitivity analysis is employed to intelligently reduce OCP computation time and maintain quality of optimal configurations. Three optimization objectives are considered, including the minimization of total system active power losses, standard deviation of node voltages, and investment in total capacitor power rating. Eight multi-objective optimization methods that employ the non-dominated sorting algorithm III (NSGA-III) concept are compared to determine individual merits. Differences between the methods include the incorporation of a penalty constraint for voltage violations and the automatic readjustment of load-tap-changing (LTC) transformer tap settings for proposed capacitor re-configurations concurrently within the optimizer, which ensures peak system performance and fair comparison to the reference case. A multi-step model conversion process was developed with OpenDSS to enable the OCP procedure to be generally applicable to real large-scale utility circuits. OCP is performed for three example sub-circuits served by a substation with a 48MW, 9Mvar peak load, which represents the most extreme case and offers the best opportunity for savings. Example configurations from the resulting Pareto sets through a pseudo-weight vector approach are also analyzed through a systematic procedure of comparison between the most extreme configuration types to inform configuration selection.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Optimal Capacitor Placement and Rating for Large-Scale Utility Power Distribution Systems Employing Load-Tap-Changing Transformer Control

et al. 2023

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“…By contrast, traditional mechanical throwing and cutting equipment are cheaper. An optimal configuration combined with those types of equipment can reduce the investment cost of the dedicated equipment [20], [21]. In [20], a golden ratio optimization algorithm was adopted to determine the optimal and simultaneous allocation of capacitors and distribution static compensators.…”

Section: B Summary Of Challenges Of Previous Studiesmentioning

confidence: 99%

Collaborative Optimization Allocation of Grid-Forming and Grid-Following Reactive Power Resources Considering Auxiliary Equipment Services

Xue,

Zeng,

Jia

et al. 2023

IEEE Access

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The large-scale integration of high-penetration distributed photovoltaic systems into distribution networks can result in significant grid voltage fluctuations within a short period. However, centralized regulation instructions for passive/reactive compensation, by themselves, are insufficient for effectively suppressing these fluctuations. Thus, this study used the grid-forming and grid-following control characteristics of modern power electronic inverters to propose an optimal allocation strategy for reactive power compensation equipment. This strategy aimed to address the insufficient proactive support capacity in the reactive power equipment used to suppress short-time grid voltage fluctuations. After establishing uncertain operation scenarios for the distribution network, we analyzed the respective multi-timescale behavioral characteristics of traditional, grid-forming, and grid-following reactive power compensation devices. The primary and auxiliary objectives were to minimize the investment cost of the special equipment and voltage deviation of the entire network, respectively. To achieve these objectives, we established a collaborative optimal allocation model for grid-forming and grid-following reactive power equipment. A multi-timescale cooperative allocation strategy was proposed to decompose the total reactive power demand curves at the equipment installation nodes into reactive power curves for different response levels and then collaboratively allocate the multiple devices. A comparative analysis of the three schemes in IEEE 33-node and 69-node systems shows that the proposed strategy guarantees lower overall network voltages while reducing the cost by at least 20% compared to those of other schemes.INDEX TERMS Collaborative optimization allocation, photovoltaic inverter, multi-time scale, gridforming control, optimal reactive power

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“…In the future, these alternative energy-generating industries will soon dominate the entire community (Neaime et al, 2018;Ozili, 2018;Noori et al, 2020;Oxford Economics, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators

Nyangarika

Mikhaylov

Muyeen

et al. 2022

Front. Environ. Sci.

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The paper observes the dependence of the main macroeconomic indicators in developing countries from the change in world prices for crude oil. We analyzed a system of simultaneous equations, which makes it possible to verify some of these hypotheses, and developed the model to forecast the impact of oil prices on budget revenues. The practical significance of this work lies in the structuring of existing knowledge on the impact of oil crisis. The results of this work can be considered confirmation of the hypothesis of the sensitivity of U.S. macroeconomic indicators to the dynamics of oil prices. Outcomes assume stable growth even in the period of shock prices for oil, which is confirmed by the statistics that were used in the model. Deep decarbonization modeling is a trend in industrial facilities that are used by developing countries. The major challenge is the issue of availability that is applicable to the countries that want to utilize this facility in their communities. Industrial modeling toward decarbonization is now a developing mechanism to curb the growing issue of atmospheric pollution. This paper proves the relevance of promoting deep decarbonization applied by the developing countries.

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Hybrid Allocation of Capacitor and Distributed Static Compensator in Radial Distribution Networks Using Multi-Objective Improved Golden Ratio Optimization Based on Fuzzy Decision Making

Cited by 13 publications

References 35 publications

Optimal Capacitor Placement and Rating for Large-Scale Utility Power Distribution Systems Employing Load-Tap-Changing Transformer Control

Optimal Capacitor Placement and Rating for Large-Scale Utility Power Distribution Systems Employing Load-Tap-Changing Transformer Control

Collaborative Optimization Allocation of Grid-Forming and Grid-Following Reactive Power Resources Considering Auxiliary Equipment Services

Energy stability and decarbonization in developing countries: Random Forest approach for forecasting of crude oil trade flows and macro indicators

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