Optimal Placement of DG in Active Distribution System Incorporating Performance Based Rates

Verma, A. K.

doi:10.1109/psc.2018.8664062

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Ex-ante payment for quality regulation is used in Germany [46]. Distribution planning considering reliability evaluation and PBR is conducted in [60][61][62]. The quality of network and quality of the consumed services are typically important for consumers, but not necessarily to the same extent.…”

Section: Service Quality Regulationmentioning

confidence: 99%

An analysis of distribution planning under a regulatory regime: An integrated framework

Verma

2023

Energy Conversion and Econom

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Distribution system planning is a multifaceted topic involving financial, regulatory, and system level analysis. The wide nature of the topic warrants a holistic study considering all aspects of analysis. The distribution utility is a natural monopoly that is subjected to utility regulation. The regulator can impact customer experience by strategically influencing the planning decisions of the utility. Hence, this paper reviews the existing utility regulation methods in the context of the distribution system and their efficacy in improving certain reliability and efficiency objectives. A two‐bus system is used to demonstrate the impact of classical models in alleviating reliability and efficiency issues through demand response. Further, a review is conducted on distribution system planning models without a regulatory regime, and suitable models for holistic analysis are identified. A two‐person complete information regulator and utility game with a comprehensive distribution system model at the lower level is proposed. A framework based on the Mixed Integer Bilevel Linear Program (MIBLP) is discussed to find the equilibrium point of the proposed game.

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Section: Service Quality Regulationmentioning

confidence: 99%

An analysis of distribution planning under a regulatory regime: An integrated framework

Verma

2023

Energy Conversion and Econom

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“…The traditional Monte Carlo approach is updated to include time-varying electricity demand profiles and network component failure rates. For reliability evaluation, reference [20] proposes a combination of Monte Carlo simulation and the 2m point estimate process, and the Genetic Algorithm (GA) is used to reduce the penalty-taking cognizance of investment cost by using the reliability tool to find optimal location and size of DG. The GA algorithm drawback is that the encoding and decoding procedures can take a long time to compute.…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

Jaleel¹,

Kdair²

2021

IJIES

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The electrical power system, especially that of the Electric Distribution Network (EDN) is more complex for the rapid deployment and penetration of Distributed Generation (DG). The DGs in the EDN are vulnerable to faults, and the reliability index considered is a critical factor in the work continuation of the EDN. The Particle Swarm Optimization (PSO) is modified to restrict the particle velocities when it runs to obtain the optimum solution for DG placement and capacity in the distribution network. This modification prevents the velocities from reach an acceptable level within a few iterations. This paper presents a new approach and good analysis to the evaluation of reliability and estimates the optimal location and capacity of the DGs units with multi-objective functions for power loss reduction and improves voltage profile. The optimization approach is based on the new Modified Particle Swarm Optimization (MPSO) for decision-making on strategic distribution system points for location and capacity of DGs using Matlab software.In this study, reliability is evaluated using the "Electrical Transient Analyzer Program, ETAP" and applied on an IEEE 33-bus test system. The obtained results of the proposed approach show superior on the other methods a reduction in real power losses by (60.13%) and an improvement in voltage profile by (88.34%).

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Customers Dependent Demand Response in Energy Hubs with IoT Perforation

Jamjoum

Negry

Abdelsalam

et al. 2023

2023 Advances in Science and Engineering Technology International Conferences (ASET)

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Optimal Placement of DG in Active Distribution System Incorporating Performance Based Rates

Cited by 4 publications

References 13 publications

An analysis of distribution planning under a regulatory regime: An integrated framework

An analysis of distribution planning under a regulatory regime: An integrated framework

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

Customers Dependent Demand Response in Energy Hubs with IoT Perforation

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