Hosting capacity evaluation of distributed generation systems with genetic algorithm

Gomes, Carlos Augusto M.; Ferreira, Hugo P.

doi:10.1109/sbse.2018.8395567

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…F v ð Þ is called a cumulative bus voltage distribution function. For upper and lower limits of bus voltage severity, the consequence function is calculated in Equations ( 28) and (29). Risk indicator of bus voltage limit violation is given in Equation (30).…”

Section: Risk Indices and Assessment Processmentioning

confidence: 99%

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Risk assessment of renewable energy and multi‐carrier energy storage integrated distribution systems

Tunçel

Oskouei

Seker

et al. 2022

Intl J of Energy Research

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Summary High‐power renewable energy sources (RESs) are recognized as a significant trend for the development of power distribution systems in an eco‐friendly manner. Due to the aging of distribution system infrastructure, many existing systems do not have the appropriate strength level to host the high penetration of RESs. Therefore, increasing the hosting capacity of RESs in distribution systems will lead to an increase in operational risks. Hence, distribution system operators are looking for operational solutions to mitigate the adverse effects of using non‐dispatchable high‐power RESs in existing systems. According to some strong evidence, multi‐carrier energy storage systems (ESSs) can provide more operational flexibility for power distribution systems to enhance system strength levels in the presence of a high proportion of renewable power. Motivated by this observation, this paper presents a stochastic risk assessment strategy to comprehensively evaluate the performance of distribution systems considering the high penetration of renewable power generation and multi‐carrier ESSs from an economic and technical risks point of view. From the technical standpoint, the branch power flows outside permissible ranges and the bus voltages over‐limits are used to assess the operational risk of distribution systems when hosting high‐power RESs with/without multi‐carrier ESSs. The multi‐energy storage systems are equipped with power‐to‐gas and tri‐state compressed air energy storage facilities to exploit economic opportunities from gas networks as well as to mitigate techno‐economic risks. In the proposed strategy, the scenario‐based stochastic programming approach is used to handle renewable power volatility and demand uncertainty. The presented risk assessment strategy is applied to the 33‐bus test system, and the operational risks of the test system are significantly reduced while minimizing the operational costs through the coordination of the multi‐type ESSs.

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Section: Risk Indices and Assessment Processmentioning

confidence: 99%

“…Here, branch power between two buses is given as S ij and its upper limit is given as S ijmax which is 3.3 MVA and it is the half of the branch thermal power limit. 29 The definition of a risk indicator is given in Equations (33).…”

Section: Risk Indices and Assessment Processmentioning

confidence: 99%

Risk assessment of renewable energy and multi‐carrier energy storage integrated distribution systems

Tunçel

Oskouei

Seker

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…Existing methods for evaluating PV hosting capacity are categorized into the following four main types: (i) methods based on dynamic iteration and simulation [6][7][8]; (ii) methods based on mathematical optimization [9][10][11]; (iii) methods based on random scenarios simulation [12][13][14]; and (iv) methods based on comprehensive evaluation [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…Yuan et al [10] established a renewable energy hosting capacity calculation model for distribution networks with consideration of power quality, relay protection, and thermal stability and proposed a multi-strategy improved adaptive manta ray foraging optimization algorithm (MSAMRFO) to solve the PV hosting capacity. Gomes et al [11] constructed a model of the maximum hosting capacity of a distributed generation system in a distribution network, used a genetic algorithm (GA) to obtain the maximum hosting capacity, and proved its validity in a modified IEEE 33-bus radial distribution system. Such methods are relatively simple in modeling ideas, but the analysis results often correspond to the optimal PV allocation method, which cannot effectively reflect the real hosting capacity of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method for Hosting Capacity of Rooftop Photovoltaic Considering Photovoltaic Potential in Distribution System

Xu,

He,

Liu

et al. 2023

Energies

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Regarding the existing evaluation methods for photovoltaic (PV) hosting capacity in the distribution system that do not consider the spatial distribution of rooftop photovoltaic potential and are difficult to apply on the actual large-scale distribution systems, this paper proposes a PV hosting capacity evaluation method based on the improved PSPNet, grid multi-source data, and the CRITIC method. Firstly, an improved PSPNet is used to efficiently abstract the rooftop in satellite map images and then estimate the rooftop PV potential of each distribution substation supply area. Considering the safety, economy, and flexibility of distribution system operation, we establish a multi-level PV hosting capacity evaluation system. Finally, based on the rooftop PV potential estimation of each distribution substation supply area, we combine the multi-source data of the grid digitalization system to carry out security verification and indicator calculation and convert the indicator calculation results of each scenario into a comprehensive score through the CRITIC method. We estimate the rooftop photovoltaic potential and evaluate the PV hosting capacity of an actual 10 kV distribution system in Shantou, China. The results show that the improved PSPNet solves the hole problem of the original model and obtains a close-to-realistic rooftop photovoltaic potential estimation value. In addition, the proposed method considering the photovoltaic potential in this paper can more accurately evaluate the rooftop PV hosting capacity of the distribution system compared with the traditional method, which provides data support for the power grid corporation to formulate a reasonable PV development and hosting capacity enhancement program.

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Analysis of the Hosting Capacity of a Real Distribution Feeder with Wind Generation

Gonzaga

Massigan

London

2019

2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

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Hosting capacity evaluation of distributed generation systems with genetic algorithm

Cited by 3 publications

References 2 publications

Risk assessment of renewable energy and multi‐carrier energy storage integrated distribution systems

Risk assessment of renewable energy and multi‐carrier energy storage integrated distribution systems

Evaluation Method for Hosting Capacity of Rooftop Photovoltaic Considering Photovoltaic Potential in Distribution System

Analysis of the Hosting Capacity of a Real Distribution Feeder with Wind Generation

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