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Final report: Integrated business platform of distributed energy resources – HEILA
(LUT University, 2019-09-12)
Energy systems are in a major process of transition from both technology and business perspective. The amount of distributed generation is increasing, load profiles are changing and new types of controllable and uncontrollable ...
Multi-Timescale Forecasting of Battery Energy Storage State-of-Charge under Frequency Containment Reserve for Normal Operation
(IEEE, 2019-11-28)
Forecasting the state-of-charge changes of battery energy storage, anticipated from a provision of different services, can facilitate planning of its market participation strategy and leverage the maximum potential of its ...
Probabilistic Forecasting of Battery Energy Storage State-of-Charge under Primary Frequency Control
(IEEE, 2019-11-07)
Multi-service market optimization of battery energy storage system (BESS) requires assessing the forecasting uncertainty arising from coupled resources and processes. For the primary frequency control (PFC), which is one ...
Use Case Description of Real-Time Control of Microgrid Flexibility
(IEEE, 2018-09-24)
Increasing amount of distributed energy resources necessitates more flexibility a t t he distribution network level. One option to attain this flexibility i s b y aggregation o f these resources within microgrids and further ...
Hyper-parameter Optimization of Multi-attention Recurrent Neural Network for Battery State-of-Charge Forecasting
(Springer, Cham, 2019-08-30)
In the past years, a rapid deployment of battery energy storage systems for diverse smart grid services has been seen in electric power systems. However, a cost-effective and multi-objective application of these services ...
Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally
(Elsevier, 2018-11-22)
This article aims at the creation of a holistic and analytic function for describing the transmission and distribution (T&D) grid power loss for all countries globally based on economical, geographical, political and ...
Assessing the performance of deep learning models for multivariate probabilistic energy forecasting
(Elsevier, 2021-01-16)
Deep learning models have the potential to advance the short-term decision-making of electricity market participants and system operators by capturing the complex dependences and uncertainties of power system operation. ...
Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties
(Elsevier, 2021-03-10)
Scheduling of prosumer flexibility is challenging in finding an optimal allocation of energy resources for heterogeneous prosumer goals under various forecast uncertainties and operation constraints. This study addresses ...
Jousto 2035 visio – Energiajärjestelmän jouston tarpeet ja toteutuspotentiaali 2035
(Lappeenrannan-Lahden Teknillinen Yliopisto LUT, 2020-11)
Suomen energiajärjestelmä on suuren muutoksen edessä. Tähän johtaa niin Pariisin ilmastosopimus, kuin yleisesti uusiutuvan energian alenevat tuotantokustannukset. Jokaisen sektorin, niin teollisuus-, liikenne-, kuin ...
Final report: Impact of distributed energy resources (DER) on a distribution network and energy stakeholders
(LUT-Yliopisto, 2020-10)
The research project aimed at developing a generic methodology to quantify the impact of distribution energy resources on a distribution grid. The methodology was applied on actual distribution grids and load data that ...