Browsing by Author "Puvi, Verner"

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  • Seasonal Dynamics in Energy Cost Optimization of Commercial Buildings with Integrated Photovoltaic and Battery Storage Systems
    (2024) Fatima, Samar; Jokinen, Ilkka; Puvi, Verner; Lehtonen, Matti; Pourakbari-Kasmaei, Mahdi
     A4 Artikkeli konferenssijulkaisussa
    This paper presents an energy management system (EMS) for commercial customers in southern Finland, equipped with photovoltaic (PV), battery energy storage systems (BESS), and electric vehicles (EVs). The model manages EV charging schedules and explores vehicle-to-grid (V2G) dynamics, effectively reducing energy procurement costs and accommodating seasonal variations. The energy management problem is implemented in GAMS as a mixed-integer linear programming model that utilizes real load, PV generation, EV driving patterns, and temperature variation across various seasons. Moreover, the customer's BESS is investigated to explore the export potential in an urban environment under a significantly high load demand. Results show percentage cost savings for three customers at 3.46%, 4.07%, and 9.26%, with export potential up to 878 kW, 757 kW, and 428 kW, respectively, highlighting the benefits of renewable sources and storage systems for energy management in similar large-scale facilities.
  • Stochastic Assessment of Voltage Unbalance Mitigation by Battery System in case of Single-Phase Solar Generation
    (2018-08-23) Puvi, Verner; Lehtonen, Matti
     A4 Artikkeli konferenssijulkaisussa
    The electric power system face big challenges today. Environmental concerns and political decisions that follows, are up to reshape electrical energy industry and change the way how energy is managed. One of the key ideas of forthcoming changes is to utilise renewable energy sources, such as solar. However, solar generation, as any other distributed generation, sets strain on the power system and power quality properties can be negatively affected. In this paper, the voltage unbalance (VU) caused by single-phase connected photovoltaics (PV) in residential low voltage grid are assessed by Monte Carlo Simulation (MCS). The voltage unbalance mitigation possibilities by battery energy storage system (BESS) are evaluated, by connecting the battery in a three different phase connection strategies. Two different stochastic assessment models will be tested: time independent and time series models. The results of the two models are presented and discussed in depth.
  • Stochastic Assessment of Voltage Unbalance Mitigation by Home Battery System in Low Voltage Grid with Single-Phase Solar Power Generation
    (2018-12-10) Puvi, Verner; Lehtonen, Matti
     A4 Artikkeli konferenssijulkaisussa
    Modern electrical power system is evolving to a smarter and agile system, which will support society's sustainable development. The low voltage grid should be capable of withstanding new challenges such as reverse power flows and voltage unbalance (VU) caused by distributed generation. In this paper, the mitigation possibilities of the VU caused by single-phase-connected photovoltaics (PV) are analysed with Tesla Powerwall 2 battery energy storage systems (BESS) added to the grid. Three different BESS phase connection strategies are modelled and the VU is assessed with Monte Carlo Simulation (MCS). A low voltage distribution grid in Sweden is considered with different PV and BESS penetration levels and the applied method for VU assessment is validated. Simulation results reveal the effectiveness of VU mitigation by connecting PV and BESS to the same phase.