scholarly journals Relieving Tensions on Battery Energy Sources Utilization among TSO, DSO, and Service Providers with Multi-Objective Optimization

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 239
Author(s):  
Gianni Celli ◽  
Fabrizio Pilo ◽  
Giuditta Pisano ◽  
Simona Ruggeri ◽  
Gian Giuseppe Soma
Keyword(s):  
Distribution System ◽  
Service Providers ◽  
Nsga Ii ◽  
Medium Voltage ◽  
Flexible System ◽  
Net Zero ◽  
Proposed Model ◽  
Battery Energy Storage Systems ◽  
Battery Energy ◽  
Planning Methodology

The European strategic long-term vision underlined the importance of a smarter and flexible system for achieving net-zero greenhouse gas emissions by 2050. Distributed energy resources (DERs) could provide the required flexibility products. Distribution system operators (DSOs) cooperating with TSO (transmission system operators) are committed to procuring these flexibility products through market-based procedures. Among all DERs, battery energy storage systems (BESS) are a promising technology since they can be potentially exploited for a broad range of purposes. However, since their cost is still high, their size and location should be optimized with a view of maximizing the revenues for their owners. Intending to provide an instrument for the assessment of flexibility products to be shared between DSO and TSO to ensure a safe and secure operation of the system, the paper proposes a planning methodology based on the non-dominated sorting genetic algorithm-II (NSGA-II). Contrasting objectives, as the maximization of the BESS owners’ revenue and the minimization of the DSO risk inherent in the use of the innovative solutions, can be considered by identifying trade-off solutions. The proposed model is validated by applying the methodology to a real Italian medium voltage (MV) distribution network.

scholarly journals Power converters for battery energy storage systems connected to medium voltage systems: a comprehensive review

BMC Energy ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Lucas S. Xavier ◽  
William C. S. Amorim ◽  
Allan F. Cupertino ◽  
Victor F. Mendes ◽  
Wallace C. do Boaventura ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Converters ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Comprehensive Review ◽  
Medium Voltage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

scholarly journals Literature review of BESS implementation in DER

2019 ◽  
Vol 16 (2) ◽  
pp. 321-326
Author(s):  
Edwin Rivas Trujillo ◽  
Jesús M López Lezama ◽  
Tays Estefanía Gutiérrez Castro
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Electric Vehicles ◽  
Demand Response ◽  
Distribution System ◽  
Energy Resources ◽  
Distributed Energy ◽  
Fundamental Part ◽  
Battery Energy Storage Systems ◽  
Battery Energy

Distributed Energy Resources (DER) have been a fundamental part of the inclusion of Battery Energy Storage Systems (BESS) in the generation and distribution system. This work shows an exhaustive review of the different approaches that the authors have developed when implementing BESS in DER, its scope and applications in different environments, observing that the most covered topics are Smart Grid (SG), Distributed Generation (DG), Energy Storage (ES) and where little information is found on the topics of Electric Vehicles (EV), Advanced Measurement (AM) and Demand Response (DR), this is to give an overview of the progress the authors have had and it allows to know in which field of application less information is found, facilitating the search for new researchers.

scholarly journals Optimal Siting and Sizing of Battery Energy Storage Systems for Distribution Network of Distribution System Operators

Batteries ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 56
Author(s):  
Panyawoot Boonluk ◽  
Apirat Siritaratiwat ◽  
Pradit Fuangfoo ◽  
Sirote Khunkitti
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Distribution Network ◽  
Energy Storage System ◽  
Power Losses ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus distribution network. Genetic algorithm (GA) and particle swarm optimization (PSO) were adopted to solve this optimization problem, and the results obtained from these two algorithms were compared. After the BESS installation in the distribution network, the voltage deviations, power losses, and peak demands were reduced when compared to those of the case without BESS installation.

scholarly journals Incentive Price-Based Demand Response in Active Distribution Grids

2020 ◽  
Vol 11 (1) ◽  
pp. 180
Author(s):  
Karthikeyan Nainar ◽  
Jayakrishnan Radhakrishna Pillai ◽  
Birgitte Bak-Jensen
Keyword(s):  
Power Consumption ◽  
Demand Response ◽  
Distribution System ◽  
Low Voltage ◽  
Pv Systems ◽  
Home Energy Management ◽  
Demand Response Program ◽  
Battery Energy Storage Systems ◽  
Battery Energy ◽  
Distribution Grids

Integration of PV power generation systems at distribution grids, especially at low-voltage (LV) grids, brings in operational challenges for distribution system operators (DSOs). These challenges include grid over-voltages and overloading of cables during peak PV power production. Battery energy storage systems (BESS) are being installed alongside PV systems by customers for smart home energy management. This paper investigates the utilization of those BESS by DSOs for maintaining the grid voltages within limits. In this context, an incentive price based demand response (IDR) method is proposed for indirect control of charging/discharging power of the BESS according to the grid voltage conditions. It is shown that the proposed IDR method, which relies on a distributed computing application, is able to maintain the grid voltages within limits. The advantage of the proposed distributed implementation is that the DSOs can compute and communicate the incentive prices thereby encouraging customers to actively participate in the demand response program. An iterative distributed algorithm is used to compute the incentive prices of individual BESS to minimize the costs of net power consumption of the customer. The proposed IDR method is tested by conducting simulation studies on the model of a Danish LV grid for few study cases. The simulation results show that by using the proposed method for the control of BESS, node voltages are maintained within limits as well as the costs of net power consumption of BESS owners are minimized.

scholarly journals Optimal Selection and Location of BESS Systems in Medium-Voltage Rural Distribution Networks for Minimizing Greenhouse Gas Emissions

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2097
Author(s):  
Oscar Montoya ◽  
Walter Gil-González ◽  
Jesus Hernández
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Gas Emissions ◽  
Medium Voltage ◽  
Minlp Model ◽  
Battery Energy Storage Systems ◽  
Diesel Generators ◽  
Battery Energy

This paper explores a methodology to locate battery energy storage systems (BESS) in rural alternating current (AC) distribution networks fed by diesel generators to minimize total greenhouse gas emissions. A mixed-integer nonlinear programming (MINLP) model is formulated to represent the problem of greenhouse gas emissions minimization, considering power balance and devices capabilities as constraints. To model the BESS systems, a linear relationship is considered between the state of charge and the power injection/consumption using a charging/discharging coefficient. The solution of the MINLP model is reached through the general algebraic modeling system by employing the BONMIN solver. Numerical results in a medium-voltage AC distribution network composed of 33 nodes and 32 branches operated with 12.66 kV demonstrate the effectiveness of including BESS systems to minimize greenhouse gas emissions in diesel generators that feeds rural distribution networks.

scholarly journals Optimal Battery Sizing in Photovoltaic Based Distributed Generation Using Enhanced Opposition-Based Firefly Algorithm for Voltage Rise Mitigation

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Ling Ai Wong ◽  
Hussain Shareef ◽  
Azah Mohamed ◽  
Ahmad Asrul Ibrahim
Keyword(s):  
Distribution System ◽  
Firefly Algorithm ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Size ◽  
Voltage Rise ◽  
Opposition Based Learning ◽  
Battery Energy Storage Systems ◽  
Battery Energy ◽  
Hourly Basis

This paper presents the application of enhanced opposition-based firefly algorithm in obtaining the optimal battery energy storage systems (BESS) sizing in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. Initially, the performance of the original firefly algorithm is enhanced by utilizing the opposition-based learning and introducing inertia weight. After evaluating the performance of the enhanced opposition-based firefly algorithm (EOFA) with fifteen benchmark functions, it is then adopted to determine the optimal size for BESS. Two optimization processes are conducted where the first optimization aims to obtain the optimal battery output power on hourly basis and the second optimization aims to obtain the optimal BESS capacity by considering the state of charge constraint of BESS. The effectiveness of the proposed method is validated by applying the algorithm to the 69-bus distribution system and by comparing the performance of EOFA with conventional firefly algorithm and gravitational search algorithm. Results show that EOFA has the best performance comparatively in terms of mitigating the voltage rise problem.

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