Effects of Solar and Wind Generation Integration on Feeder Hosting Capacity

With the increased penetration of distributed generation (DG) utilities are beginning to see impacts on their system, especially on the ability of a feeder to accommodate DG. In this paper we introduce a stochastic simulation framework to assess the effects on hosting capacity from solar and wind generation for various loading scenarios. The general approach includes the use of a k-means clustering algorithm for segmenting and grouping the raw wind, solar, and load data to define patterns and assign probabilities to each pattern. Monte Carlo simulations are adopted for calculating probabilistic outcomes for a variety of wind, solar, and load scenarios, with the use of a distribution planning software. The outcomes of the simulations, i.e., statistics of minimum and maximum feeder hosting capacity, are used to derive their probability distribution functions (pdfs). The pdfs of the minimum and maximum hosting capacity provide insights into the effects on loading from various wind and solar DG scenarios. The proposed framework is illustrated for a representative utility feeder

Current Data Gaps in Modeling Essential Worker Absenteeism Due to COVID-19

With the uncertain physical and mental health implications of COVID-19 infection, companies have taken a myriad of actions that aim to reduce the risk of employees contracting the virus, with most grounded in reducing or eliminating in-person interactions. Our preliminary analysis indicates that while there is some data to support modelling absenteeism, there are gaps in the available evidence, requiring the use of assumptions that limit precision and efficacy for decision support. Improved data on time-to-recovery after hospitalization, absenteeism due to family or other household member illness, and mental health’s impact on returning to work will support the development of more robust absenteeism models and analytical approaches

The impact of ancillary services in optimal DER investment decisions

Microgrid resource sizing problems typically include the analysis of a combination of value streams such as peak shaving, load shifting, or load scheduling, which support the economic feasibility of the microgrid deployment. However, microgrid benefits can go beyond these, and the ability to provide ancillary grid services such as frequency regulation or spinning and non-spinning reserves is well known, despite typically not being considered in resource sizing problems. This paper proposes the expansion of the Distributed Energy Resources Customer Adoption Model (DER-CAM), a state-of-the-art microgrid resource sizing model, to include revenue streams resulting from the participation in ancillary service markets. Results suggest that participation in such markets may not only influence the optimum resource sizing, but also the operational dispatch, with results being strongly influenced by the exact market requirements and clearing prices

Smart distribution applications – some contributions to P1854

Rapid and wide-spread deployment of newtechnologies in the electric power distribution network under theconcept of smart grids has resulted in a growing need to newstandards and guidelines specifically designed to addressemerging technological challenges and further streamline the useof new technology. This document is prepared as part of theactivities to develop the IEEE Power and Energy Society’s“smart distribution application guide”, to give guidance toutilities and network operators in the use of new technology inelectric power distribution. The document will provide adescription of the available new technology based on itsapplication, followed by a more detailed description of thetechnologies and associated supporting solutions. The topicsdiscussed in this document include improving the reliability ofsupply, improving the power quality, improving the efficiency ofdistribution-system operation, increasing hosting capacity fornew production or for new consumption, and allowing marketfunctioning and participation of all network users. This papercontains some examples of texts as they are currently beingdiscussed within the smart distribution working groupGodkänd; 2014; 20140422 (matbol

Harmonic resonances due to transmission-system cables

This paper gives some examples of harmonicissues that can occur when long ac cables are connected in thetransmission grid. The main impact is that resonances can occurat much lower frequencies than when only overhead lines arepresent. Two illustrative case studies are presented: one for a275-kV cable, one for a 400-kV cable in combination with a 132-kV capacitor bank. A simple rule-of-thumb is given, to decide ifa detailed harmonic study is needed. Some guidelines for such astudy are given as well.Godkänd; 2014; 20140422 (matbol); Konferensartikel i tidskrift</p