scholarly journals Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1813 ◽  
Author(s):  
Eleonora Achiluzzi ◽  
Kirushaanth Kobikrishna ◽  
Abenayan Sivabalan ◽  
Carlos Sabillon ◽  
Bala Venkatesh
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Stochastic Approach ◽  
Initial Energy ◽  
Mixed Integer ◽  
Optimal Size ◽  
Solar Pv ◽  
Pv System ◽  
Battery Energy

In the distribution system, customers have increasingly use renewable energy sources and battery energy storage systems (BESS), transforming traditional loads into active prosumers. Therefore, methodologies are needed to provide prosumers with tools to optimize their investments and increase business opportunities. In this paper, a stochastic mixed integer linear programming (MILP) formulation is proposed to solve for optimal sizes of prosumer assets, considering the use of a BESS and photovoltaic (PV) units. The objective is to minimize the total cost of the system, which is defined as the combination of a solar PV system investment, BESS investment, maintenance costs of assets, and the cost of electricity supplied by the grid. The developed method defines the optimal size of PV units, the power/energy capacities of the BESS, and the optimal value for initial energy stored in the BESS. Both deterministic and stochastic approaches were explored. For each approach, the proposed model was tested for three cases, providing a varying combination of the use of grid power, PV units, and BESS. The optimal values from each case were compared, showing that there is potential to achieve more economic plans for prosumers when PV and BESS technologies are taken into account.

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 Energy Storage for 1500 V Photovoltaic Systems: A Comparative Reliability Analysis of DC- and AC-Coupling

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3355 ◽  
Author(s):  
Jinkui He ◽  
Yongheng Yang ◽  
Dmitri Vinnikov
Keyword(s):  
Energy Storage ◽  
Reliability Analysis ◽  
System Level ◽  
Solar Pv ◽  
Pv System ◽  
Battery System ◽  
Pv Systems ◽  
Pv Inverter ◽  
Cost Of Energy ◽  
Battery Energy

There is an increasing demand in integrating energy storage with photovoltaic (PV) systems to provide more smoothed power and enhance the grid-friendliness of solar PV systems. To integrate battery energy storage systems (BESS) to an utility-scale 1500 V PV system, one of the key design considerations is the basic architecture selection between DC- and AC-coupling. Hence, it is necessary to assess the reliability of the power conversion units, which are not only the key system components, but also represent the most reliability-critical parts, in order to ensure an efficient and reliable 1500 V PV-battery system. Thus, this paper investigates the BESS solutions of DC- and AC-coupled configurations for 1500 V PV systems with a comparative reliability analysis. The reliability analysis is carried out through a case study on a 160 kW/1500 V PV-system integrated DC- or AC-coupled BESS for PV power smoothing and ramp-rate regulation. In the analysis, all of the DC-DC and DC-AC power interfacing converters are taken into consideration along with component-, converter-, and system-level reliability evaluation. The results reveal that the reliability of the 1500 V PV inverter can be enhanced with the DC-coupled BESS, while seen from the system-level reliability (i.e., a PV-battery system), both of the DC- and AC-coupled BESSs will affect the overall system reliability, especially for the DC-coupled case. The findings can be added into the design phase of 1500 V PV systems in a way to further lower the cost of energy.

scholarly journals Modeling and Control of Solar PV with Battery Energy Storage for Rural Electrification

2020 ◽  
Vol 39 (1) ◽  
pp. 47-58
Author(s):  
Irene H. Masenge ◽  
Francis Mwasilu
Keyword(s):  
Energy Storage ◽  
Rural Areas ◽  
Storage System ◽  
Energy Resource ◽  
Rural Electrification ◽  
Storage Device ◽  
Solar Pv ◽  
Pv System ◽  
Battery Energy Storage ◽  
Battery Energy

In rural areas where electric power grid network is rarely available, power generation from renewable energy resource such as solar photovoltaic (PV) is mostly accomplished in standalone mode. The standalone solar PV system requires energy storage device to achieve reliable power supply to the end users. This paper presents modelling and coordination control of solar PV with battery energy storage system (BESS) for rural-electrification applications. The proposed control is accomplished via a bidirectional buck-boost converter with the objective of maintaining voltage at the DC bus constant. Simulation results based-on MATLAB/Simulink platform confirms good performance of the proposed system.

scholarly journals Scheduling And Sizing of Campus Microgrid Considering Demand Response And Economic Analysis

2021 ◽  
Author(s):  
Muhammad Shahzad Pansota ◽  
Haseeb Javed ◽  
Abdul Muqeet ◽  
Muhammad Irfan ◽  
Moazzam Shehzad ◽  
...  
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Distribution System ◽  
Large Scale ◽  
Economic Benefits ◽  
Mixed Integer ◽  
General Effect ◽  
Energy Prices ◽  
Solar Pv ◽  
Diesel Generator

Abstract Background: Current energy systems face multiple problems related to inflation in the energy prices, reduction of fossil fuels, and greenhouse gas emissions in disturbing the comfort zone of energy consumers and affordability of power for large commercial customers. This kind of problem can be alleviated with the help of optimal planning of Demand Response policies and with distributed generators in the distribution system. The objective of this article is to give a strategic proposition of an energy management system for a campus microgrid (µG) to minimize the operating costs and to increase the self-consuming energy of green DGs. To this end, a real-time-based campus is considered that is currently providing its loads from the utility grid only. Yet, according to the proposed given scenario, it contains the solar panels and wind turbine as a non-dispatchable DG while a diesel generator is considered as a dispatchable DG. It also incorporates the energy storage system with the optimal sizing of BESS to tackle with multiple disturbances that arise from solar radiations. Results: The resultant problem of linear mathematics has been simulated and plotted in MATLAB with mixed-integer linear programming. Simulation results show that the proposed given model of EMS minimizes the grid electricity costs by 31% in case of summer and 38% in case of winter respectively, while the reduction of GHG emissions per day is 780.68 and 730.46 kg for the corresponding summer and winter seasons. The general effect of a medium-sized solar PV installation on carbon emissions and energy consumption costs is also observed. Conclusion: The substantial environmental and economic benefits compared to the present case prompt campus owners to put investment in the DGs and to install large-scale energy storage.

scholarly journals Battery Energy Storage Contribution to System Adequacy

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5146
Author(s):  
Pantelis A. Dratsas ◽  
Georgios N. Psarros ◽  
Stavros A. Papathanassiou
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
System Capacity ◽  
Mixed Integer ◽  
Management Approach ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy

The objective of this paper is to evaluate the contribution of energy storage systems to resource adequacy of power systems experiencing increased levels of renewables penetration. To this end, a coherent methodology for the assessment of system capacity adequacy and the calculation of energy storage capacity value is presented, utilizing the Monte Carlo technique. The main focus is on short-duration storage, mainly battery energy storage systems (BESS), whose capacity values are determined for different power and energy configurations. Alternative operating policies (OPs) are implemented, prioritizing system cost or reliability, to demonstrate the significant effect storage management may have on its contribution to system adequacy. A medium-sized island system is used as a study case, applying a mixed integer linear programming (MILP) generation scheduling model to simulate BESS and system operation under each OP, in order to determine capacity contribution and overall performance in terms of renewable energy sources (RES) penetration, system operating cost and BESS lifetime expectancy. This study reveals that BESS contribution to system adequacy can be significant (capacity credit values up to ~85%), with energy capacity proving to be the most significant parameter. Energy storage may at the same time enhance system reliability, reduce generation cost and support RES integration, provided that it is appropriately managed; a combined reliability-oriented and cost-driven management approach is shown to yield optimal results.

scholarly journals RES and ES Integration in Combination with Distribution Grid Development Using MILP

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 383
Author(s):  
Mateusz Andrychowicz
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Power Level ◽  
Peak Load ◽  
Operating Conditions ◽  
Mixed Integer ◽  
Distribution Grid ◽  
Specific Level ◽  
Load Curtailment

In the paper, a new method of long-term planning of operation and development of the distribution system, taking into account operational aspects such as power flows, power losses, voltage levels, and energy balances, is presented. The developed method allows for the allocation and selection of the power of Renewable Energy Sources (RES), control of energy storage (ES), curtailing of RES production (EC), and the development of the distribution grid (GD). Different types of RES and loads are considered, represented by generation/demand profiles reflecting their typical operating conditions. RES allocation indicates the node in the distribution system and the power level for each type of RES that may be built. Energy storage (ES) allows generation to be transferred from the demand valley to the peak load. Curtailment of RES generation indicates the moment and level of power by which generation will be reduced, while the grid development (GD) determines between which network nodes a new power line should be built. All these activities allow to minimize the costs of planning work and development of the distribution system at a specific level of energy consumption from RES in the analyzed distribution system using a Mixed Integer-Linear Programming (MILP).

scholarly journals Proposal Design of a Hybrid Solar PV-Wind-Battery Energy Storage for Standalone DC Microgrid Application

2021 ◽  
Author(s):  
Mwaka Juma ◽  
Bakari M. M. Mwinyiwiwa ◽  
Consalva J. Msigwa ◽  
Aviti T. Mushi
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Constant Load ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Battery Energy Storage ◽  
Power Point ◽  
Battery Energy

This paper presents a microgrid distributed energy resources (DERs) for a rural standalone system. It is made up of solar photovoltaic (solar PV) system, battery energy storage system (BESS), and wind turbine coupled to permanent magnet synchronous generator (WT-PMSG). The DERs are controlled by maximum power point tracking (MPPT) based proportional intergral (PI) controllers for both maximum power tracking and error feedback compensation. The MPPT uses the perturb and observe (P&O) algorithm for tracking the maximum power point of the DERs. The PI gains are tuned using the Ziegler-Nichol’s method. The developed system was built and simulated in MATLAB/Simulink under two conditions - constant load, and step load changes. The controllers enabled the BESS to charge even during conditions of varying load and other environmental factors such as change of irradiance and wind speed. The reference was tracked very well by the output voltage of the DC grid. This is a useful research for electrifying the rural islanded areas, too far from the grid.

scholarly journals Establishment of Solar –Wind –Biogas –BESS Based Hybrid Micro-grid

2020 ◽  
Vol 9 (9) ◽  
pp. 182-192
Keyword(s):  
Solar Wind ◽  
Renewable Energy ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Solar Pv ◽  
Design Development ◽  
Battery Energy Storage ◽  
Micro Grid ◽  
Battery Energy

The demand for energy increased due to industrialization, urbanization and population growth. In order to meet the demand for energy, Renewable Energy Sources (RES) are exploited because of its advantages such as developed economic growth and sustainability etc. The micro-grid implemented with isolated distributed generators (DGs) of coordinated operation within it. A hybrid system with all available sources of renewable energy such as solar PV, wind, biogas and battery energy storage system (BESS) for the purpose of 24hrs uninterrupted power supply for the no grid or weak grid regions of rural sectors of India has been recently established in IIEST Shibpur. The design and establishment of solar-wind-Biogas with battery energy storage-based hybrid micro-grid system presented. In this paper design, development and installation of micro-grid consisting of 10kWp solar PV plant, 1kW wind generating system, 35 cubic meter bio digester with 15kVA biogas engine and 1kW, 6kWh VRF battery are described.

scholarly journals Sizing of Energy Storage with Network Constraints Economic Dispatch of Fuel Cell Micro-Turbine and Renewable Energy Sources

2020 ◽  
Vol 9 (5) ◽  
pp. 881-891
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Fuel Cell ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Optimal Size ◽  
Battery Storage ◽  
Battery Energy Storage ◽  
Micro Turbine ◽  
Battery Energy

Micro-Grid is the appropriate solution to various problems in the power system. Different types of energy sources, likewise Fuel cell (FC), Micro-Turbine (MT) and renewable energy sources can be integrated with micro-grids (MG). The battery energy storage has played a crucial role to support the power mismatch of on-grid or off-grid MG. Therefore the optimal size of battery energy storage along with the optimal cost-based calculation has become an essential part for the micro-grid operator. The piecewise linear cost method is used for the cost based analysis. The main contribution of this paper is: (i) the optimal size of battery energy storage has been determined with a Fuel cell (FC) and Micro-Turbine (MT) based distribution generation (DG). (ii) The impact of battery storage with DG and renewable energy sources (RES) has been considered. (iii) The total benefit and market benefit has been maximised. (iv) The unit-commitment cost of FC and MT with spinning reserve, piecewise linear cost function, ramp rate, minimum up and downtime constraints has been considered for the sizing of battery storage. (v) The network constrained has been found to obtain minimum daily energy loss for the optimal size of battery storage. (vi) The state of charge (SOC) of battery, the power output of DG’s and RES, power loss, battery cost per day, operating cost of generation, etc. have been determined. The optimal sizing of battery energy storage determination is helpful for the both Microgrid operators as well as designers. The IEEE-33 bus test system with ZIP load has been carried out for analysis and result validation. The general algebraic modeling system (GAMS) is used to solve the deterministic optimisation problem.

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