BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20260329T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260216T203913Z UID:A4D49346-C0C5-4B6B-A90B-BA4CBF0A4730 DTSTART;TZID=Europe/London:20251125T150000 DTEND;TZID=Europe/London:20251125T160000 DESCRIPTION:Miguel holds a PhD in Electrical Engineering\, jointly awarded by the University of Manchester (UK) and the Universidad de Chile. He is c urrently a Postdoctoral Researcher at the Department of Engineering Scienc e\, University of Oxford\, and a member of Centro Enlace in Chile. His res earch focuses on energy systems optimisation and the integration of energy fairness principles into quantitative decision-making models.\n\nAbstract : Prosumers' deployment of distributed energy resources (DER) is shaped by market incentives and budget constraints. Effective DER integration can r educe the long-term need for distribution network infrastructure\, thereby diminishing overall electricity costs. Nevertheless\, it may negatively i mpact cost allocation among users from different socioeconomic backgrounds . To analyze the efficiency and distributional aspects of DER deployment a cross different socioeconomic groups\, this study employs a novel equilibr ium model based on Stackelberg games. The model simulates interactions bet ween a proactive lowvoltage distribution network planner and prosumers who may invest in photovoltaic systems and batteries. Prosumers aim to minimi ze expenses based on tariffs\, without knowledge of their peers' decisions . Due to the non-linearities introduced by the tariff structure\, a Gauss- Seidel algorithm is employed to reduce model complexity. The study examine s six tariff combinations\, revealing that cost allocation varies signific antly depending on the tariff design. In this regard\, the results show th e risks associated with certain tariff designs\, including potential losse s in efficiency or unfair cost allocation. Likewise\, the results highligh t the value of cost-reflective tariffs in reducing unintended cross-subsid ies. These findings underscore the importance of thoughtful tariff design and network planning in promoting both a distributional fairness DER deplo yment and system-wide efficiency.\n\nVirtual: https://events.vtools.ieee.o rg/m/512808 LOCATION:Virtual: https://events.vtools.ieee.org/m/512808 ORGANIZER:d.l.donaldson@bham.ac.uk SEQUENCE:13 SUMMARY:Tariff Schemes and Socioeconomic Factors in Equilibrium Analysis of DER Investments URL;VALUE=URI:https://events.vtools.ieee.org/m/512808 X-ALT-DESC:Description: <br /><p class="MsoNormal"><img style="display: blo ck\; margin-left: auto\; margin-right: auto\;" src="https://events.vtools. ieee.org/vtools_ui/media/display/ae7bf0b7-47a6-4c07-8cab-5bad5d6ba97d" wid th="934" height="531"></p>\n<p class="MsoNormal">&nbsp\;</p>\n<p class="Ms oNormal">Miguel holds a PhD in Electrical Engineering\, jointly awarded by the University of Manchester (UK) and the Universidad de Chile. He is cur rently a Postdoctoral Researcher at the Department of Engineering Science\ , University of Oxford\, and a member of Centro Enlace in Chile. His resea rch focuses on energy systems optimisation and the integration of energy f airness principles into quantitative decision-making models.</p>\n<p class ="MsoNormal">&nbsp\;</p>\n<p class="MsoNormal"><strong>Abstract</strong>: Prosumers' deployment of distributed energy resources (DER) is shaped by m arket incentives and budget constraints. Effective DER integration can red uce the long-term need for distribution network infrastructure\, thereby d iminishing overall electricity costs. Nevertheless\, it may negatively imp act cost allocation among users from different socioeconomic backgrounds. To analyze the efficiency and distributional aspects of DER deployment acr oss different socioeconomic groups\, this study employs a novel equilibriu m model based on Stackelberg games. The model simulates interactions betwe en a proactive lowvoltage distribution network planner and prosumers who m ay invest in photovoltaic systems and batteries. Prosumers aim to minimize expenses based on tariffs\, without knowledge of their peers' decisions. Due to the non-linearities introduced by the tariff structure\, a Gauss-Se idel algorithm is employed to reduce model complexity. The study examines six tariff combinations\, revealing that cost allocation varies significan tly depending on the tariff design. In this regard\, the results show the risks associated with certain tariff designs\, including potential losses in efficiency or unfair cost allocation. Likewise\, the results highlight the value of cost-reflective tariffs in reducing unintended cross-subsidie s. These findings underscore the importance of thoughtful tariff design an d network planning in promoting both a distributional fairness DER deploym ent and system-wide efficiency.</p> END:VEVENT END:VCALENDAR