Economic Analysis of Two Microgrid Prototypes

2012 ◽  
Vol 433-440 ◽  
pp. 2411-2416
Author(s):  
Lue Bin Fang ◽  
Jin Ding Cai ◽  
Han Lin ◽  
Geoffrey James
Keyword(s):  
Economic Analysis ◽  
Distributed Generation ◽  
Power Output ◽  
Distribution System ◽  
Cost Efficiency ◽  
Storage System ◽  
Economic Benefits ◽  
Energy Resources ◽  
Analysis Tool ◽  
Continuous Power

A microgrid is an excellent supplement for both urban and rural utility grids. It assists in the integration of different kinds of renewable and distributed generation and it has the potential to make the distribution system more flexible and reliable. A microgrid is a combination of two or several energy resources like natural gas, wind, photovoltaic, biomass or diesel generators. Different energy resources together with battery storage system can complement one another to provide a more continuous power output. Two microgrid prototypes are discussed and, optional configurations are estimated using the economic analysis tool HOMER. Economic benefits and greenhouse-gas emissions of microgrids are calculated and compared. Results show that microgrids with optimal sizing and operation can achieve both cost efficiency and lower emissions.

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 Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1764 ◽  
Author(s):  
Jura Arkhangelski ◽  
Pierluigi Siano ◽  
Abdou-Tankari Mahamadou ◽  
Gilles Lefebvre
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Short Term Memory ◽  
Storage System ◽  
Economic Benefits ◽  
Mixed Integer ◽  
Forecast Errors ◽  
Smart Community ◽  
The Impact

In this paper, an innovative method for managing a smart-community microgrid (SCM) with a centralized electrical storage system (CESS) is proposed. The method consists of day-ahead optimal power flow (DA–OPF) for day-ahead SCM managing and its subsequent evaluation, considering forecast uncertainties. The DA–OPF is based on a data forecast system that uses a deep learning (DL) long short-term memory (LSTM) network. The OPF problem is formulated as a mathematical mixed-integer nonlinear programming (MINLP) model. Following this, the developed DA–OPF strategy was evaluated under possible operations, using a Monte Carlo simulation (MCS). The MCS allowed us to obtain potential deviations of forecasted data during possible day-ahead operations and to evaluate the impact of the data forecast errors on the SCM, and that of unit limitation and the emergence of critical situations. Simulation results on a real existing rural conventional community endowed with a centralized community renewable generation (CCRG) and CESS, confirmed the effectiveness of the proposed operation method. The economic analysis showed significant benefits and an electricity price reduction for the considered community if compared to a conventional distribution system, as well as the easy applicability of the proposed method due to the CESS and the developed operating systems.

Optimal reconfiguration/distributed generation integration in distribution system using adaptive weighted improved discrete particle swarm optimization

2019 ◽  
Vol 38 (1) ◽  
pp. 247-262 ◽  
Author(s):  
Manikandan Subramaniyan ◽  
Sasitharan Subramaniyan ◽  
Moorthy Veeraswamy ◽  
Viswanatha Rao Jawalkar
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Energy Resources ◽  
Discrete Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Content Type ◽  
Discrete Particle

Purpose This paper aims to address not only technical and economic challenges in electrical distribution system but also environmental impact and the depletion of conventional energy resources due to rapidly growing economic development, results rising energy consumption. Design/methodology/approach Generally, the network reconfiguration (NR) problem is designed for minimizing power loss. Particularly, it is devised for maximizing power loss reduction by simultaneous NR and distributed generation (DG) placement. A loss sensitivity factor procedure is incorporated in the problem formulation that has identified sensitivity nodes for DG optimally. An adaptive weighted improved discrete particle swarm optimization (AWIDPSO) is proposed for ascertaining a feasible solution. Findings In AWIDPSO, the adaptively varying inertia weight increases the possible solution in the global search space and it has obtained the optimum solution within lesser iteration. Moreover, it has provided a solution for integrating more amount of DG optimally in the existing distribution network (DN). Practical implications The AWIDPSO seems to be a promising optimization tool for optimal DG placement in the existing DN, DG placement after NR and simultaneous NR and DG sizing and placement. Thus, a strategic balance is derived among economic development, energy consumption, environmental impact and depletion of conventional energy resources. Originality/value In this study, a standard 33-bus distribution system has been analyzed for optimal NR in the presence of DG using the developed framework. The power loss in the DN has reduced considerably by indulging a new and innovative approaches and technologies.

scholarly journals OPTIMASI PENENTUAN LOKASI DAN KELUARAN DAYA AKTIF PEMBANGKIT KECIL TERSEBAR METODE ALGORITMA GENETIKA STANDAR PADA PENYULANG 1 SISTEM DISTRIBUSI 20 KV TARAKAN

2018 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Achmad Budiman
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Power Output ◽  
Distribution System ◽  
Active Power ◽  
Electrical Distribution ◽  
Genetic Algorithm Method ◽  
Standard Genetic Algorithm

Abstract - The use of distributed generation (DG) at Feeder I Tarakan Distribution System 20 kV aims to meet the needs of consumer electricity, but it is expected to reduce the loss of power on the network. Therefore, optimization is needed in determining the location and output of DG’s active power. The standard genetic algorithm method is used in the determination of the location and output of active power for 3 units of each 250 kW capacity in Feeder I Tarakan Distribution System 20 kV. The optimized results were achieved for optimal locations on 22,28, 47 buses with each 196, 192, 200 kW active power output and 37.73 % or 17,000 Watt network loss. Keywords: standard genetic algorithm, electrical distribution system, distributed generation  Intisari - Pemanfaatan pembangkit kecil tersebar (PKT) pada Penyulang I Sistem Distribusi Listrik Tarakan 20 kV bertujuan untuk pemenuhan kebutuhan listrik konsumen dan diharapkan dapat meminimalkan rugi daya pada jaringan. Untuk itu diperlukan optimasi dalam menentukan lokasi dan keluaran daya aktif PKT. Metode algoritma genetika standar digunakan dalam penentuan lokasi dan keluaran daya aktif untuk 3 Unit PKT kapasitas masing-masing 250 kW pada Penyulang I Sistem Distribusi 20  KV Tarakan. Hasil optimasi yang dicapai untuk lokasi optimal pada bus 22, 28, 47 dengan masing-masing keluaran daya aktif 196, 192, 200 kW dan penurunan rugi daya jaringan sebesar 37,73 % atau 17.000 Watt. Kata Kunci : algoritma genetika standar, sistem distribusi listrik, pembangkit kecil tersebar

MPC Based Approach for Reliable Power System Energy Management with High Penetration Level of Renewable Energy Resources

2014 ◽  
Vol 986-987 ◽  
pp. 371-376 ◽  
Author(s):  
Yan Zhang ◽  
Bo Guo ◽  
Tao Zhang
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Distribution System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Load Following ◽  
High Penetration ◽  
Battery Energy

This paper discusses using the battery energy storage system (BESS) to mitigate intermittency and sustain stability of distribution system integrating high penetration level of renewable energy resources (RER). The goal of the control is to have the BESS provide as much smoothing as possible, so that the RER power can be dispatchable in some kind and reliable. The effectiveness of model predictive control (MPC) based approach proposed in this paper have been tested by detail case study, also compared with the day ahead control strategy, load following strategy , and normal situation without energy storage which are usually used before. The result shows that the proposed MPC based approach is more practical, and more robust.

Distributed generation and energy storage system planning for a distribution system operator

2018 ◽  
Vol 12 (12) ◽  
pp. 1345-1353 ◽  
Author(s):  
Jing Qiu ◽  
Zhao Xu ◽  
Yu Zheng ◽  
Dongxiao Wang ◽  
Zhao Yang Dong
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Distribution System ◽  
Storage System ◽  
Energy Storage System ◽  
System Planning ◽  
System Operator

scholarly journals Development of Reclosing Method in a Distribution System with Distributed Generation and Battery Energy Storage System

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1407 ◽  
Author(s):  
Hun-Chul Seo
Keyword(s):  
Energy Storage ◽  
Distributed Generation ◽  
Distribution System ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Simulation Results ◽  
Battery Energy ◽  
Fault Clearance

The connection of distributed generation (DG) and a battery energy storage system (BESS) in distribution systems has recently been increasing. However, little research has been conducted on the reclosing of the distribution system when both the DG and BESS are connected. Therefore, this paper proposes a new reclosing method for a distribution system with a DG and BESS. The proposed method also has a circuit breaker (CB) installed in the distribution line. A CB close to the DG and BESS is first reclosed after a fixed dead time and, then, the fault clearance is detected using the current flowing to the fault point. Once the fault is cleared, the reclosing of the CB at the source side is attempted after completing a synchronism check. The proposed method is modeled using an electromagnetic transient program. We perform various simulations according to the capacities of the DG and the fault clearance time, and analyze the simulation results. The simulation results show that steady-state power is supplied to the load from the DG and BESS before reclosing to prevent outage, and that the reclosing is successfully performed.

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