Methodology of risk assessment and decomposition in power grid applications

Wawrzyniak, Karol; Padrón, Endika Urresti; Gomulski, Krzysztof; Korab, R.; Jaworski, Wojciech

doi:10.1049/iet-gtd.2017.1731

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…In AC/DC system, load forecasting and power generation of renewable sources such as solar and wind is always associated with uncertainty. Thus, the distribution system has faced risk (1)(2)(3)(4)(5)(6).…”

Section: Nomenclaturementioning

confidence: 99%

Risk-Based AC/DC Hybrid Distribution System Planning

Esmaeilzadeh,

Falaghi,

Ramezani

2024

IJE

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With the growing movement of using direct current (DC) load demands, as well as DC distribution generations (DGs), the distribution system has undergone significant changes on the production and demand side. Due to alternating current (AC) and DC generators and load demands, it is not costeffective to continue in the AC distribution system. Therefore, AC/DC hybrid distribution system planning is economical despite various demands and generations. On the other hand, uncertainty in load demand and output power of DGs cause the possible behavior of the distribution system. This behavior leads to risk in the distribution system. In this paper, the AC/DC distribution system planning is discussed by considering the risk. The planning problem in the matrix laboratory and general algebraic modeling system (MATLAB/GAMS) hybrid space has been formulated and solved. Using the K-means algorithm, the uncertainty related to renewable DG output power and load demand has been modeled. To verify the proposed method, it was implemented in a sample distribution system.

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Section: Nomenclaturementioning

confidence: 99%

Risk-Based AC/DC Hybrid Distribution System Planning

Esmaeilzadeh,

Falaghi,

Ramezani

2024

IJE

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“…Therefore, extreme conditions have a specific financial impact on the world economy [27]. Climate change and its related threats affect all sectors of the economy, including the financial sector [19,30,44]. The capacity market, and especially other methods of financing the operating and investment activities of the energy sector, create the risk of reliance on investment portfolios and the loans of financial institutions [45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Grants and Funding for the Processes of Decarbonization in the Scope of Sustainability Development—The Case from Poland

et al. 2022

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The study aimed to determine how the public perceives the directions of decarbonization to develop a sustainable energy strategy for Poland. The political challenge is to use dedicated funds and grants to move from the energy market to low-carbon technology. For sustainable development, governments must implement an environmentally friendly, cost-effective, and socially acceptable policy. The risk of social acceptance plays a vital role in Poland, especially in Silesia, influencing the decarbonization process. The study’s main objective was to identify socio-economic features that affect the assessment of the decarbonization process in Poland, assuming that respondents used central or local funds to carry out this process. The authors deepened the multidisciplinary aspect of the analysis of decarbonization, mainly pointing to social issues, which was presented in the article. The study was conducted using the “snowball” method on a group of 444 socially diverse people. They were based on non-parametric statistical methods: Chi-square, Mann–Whitney U, and the Kruskal–Wallis test, which showed that the most effective factors in the decarbonization process are subsidies used by local governments. Moreover, it was found that people with higher education give less support to the centralization of funds for decarbonization, though they perceive that local funds provide a greater chance of success for decarbonization processes. This study fills the gap in social sciences.

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“…Research studies focused on the operational risk of DN mainly contain security risk and economic risk. In terms of security analysis method, it undergoes three stages: deterministic assessment [11,12], probabilistic assessment [13] and risk assessment [14][15][16][17]. Deterministic assessment is used to analyse the reliability level of power system or equipment under a certain expected state.…”

Section: Introductionmentioning

confidence: 99%