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 Energy storage system design for large-scale solar PV in Malaysia: techno-economic analysis

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Mahmoud Laajimi ◽  
Yun Ii Go
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Power Systems ◽  
Large Scale ◽  
Renewable Resource ◽  
Environmental Benefits ◽  
Energy Prices ◽  
Solar Pv ◽  
Output Ratio ◽  
The Difference

AbstractLarge-scale solar is a non-reversible trend in the energy mix of Malaysia. Due to the mismatch between the peak of solar energy generation and the peak demand, energy storage projects are essential and crucial to optimize the use of this renewable resource. Although the technical and environmental benefits of such transition have been examined, the profitability of energy storage systems combined with large-scale solar PV has not been studied in Malaysia. This project aims to determine the most profitable business model of power systems, in terms of PV installed capacity, and energy storage capacity, and power system components. A comparative study has been done to compare the economic outcomes from different types of projects, with different scales and multiple configurations of large-scale solar PV combined with energy storage. The lowest values of LCOE are guaranteed with energy storage output to LSS output ratio, A = 5%. In this case, 30-MW projects have the cheapest electricity, equal to RM 0.2484/kWh. On the other hand, increasing the energy storage output to LSS output ratio, A to 60% results in the increase of LCOE, exceeding RM 0.47/kWh. On the economical side, with a difference of 0.06 kWh/m2/day for the analysis carried out in Pahang and Perak, the difference in net present worth is more than 7.5% of the net present cost. The difference between the two locations is comparatively higher for 50-MW projects. It is equal to RM 11.67 Million for A = 60%, while it is equal to RM 13.5 Million with A = 5%. Due to the energy prices in Malaysia, the projects that include large-scale solar only are more profitable technically and financially than those including large-scale solar and energy storage. It is found that adding storage to a large-scale solar project is more profitable technically and financially with greater large-scale solar capacities and smaller storage capacities. Nevertheless, with the current energy prices in Malaysia, projects that include only energy storage are not financially profitable. This study determined the parameters that affect the profitability of large-scale solar energy projects and energy storage projects, and the configurations that maximize financial profits. The findings of this study are useful for the future regulations that intend to enhance the deployment of large-scale solar PV and energy storage in Malaysia.

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 Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8501
Author(s):  
Haseeb Javed ◽  
Hafiz Abdul Muqeet ◽  
Moazzam Shehzad ◽  
Mohsin Jamil ◽  
Ashraf Ali Khan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Demand Response ◽  
Distribution System ◽  
Mathematical Problem ◽  
Economic Effects ◽  
Mixed Integer ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Utility Grid

An energy management system (EMS) was proposed for a campus microgrid (µG) with the incorporation of renewable energy resources to reduce the operational expenses and costs. Many uncertainties have created problems for microgrids that limit the generation of photovoltaics, causing an upsurge in the energy market prices, where regulating the voltage or frequency is a challenging task among several microgrid systems, and in the present era, it is an extremely important research area. This type of difficulty may be mitigated in the distribution system by utilizing the optimal demand response (DR) planning strategy and a distributed generator (DG). The goal of this article was to present a strategy proposal for the EMS structure for a campus microgrid to reduce the operational costs while increasing the self-consumption from green DGs. For this reason, a real-time-based institutional campus was investigated here, which aimed to get all of its power from the utility grid. In the proposed scenario, solar panels and wind turbines were considered as non-dispatchable DGs, whereas a diesel generator was considered as a dispatchable DG, with the inclusion of an energy storage system (ESS) to deal with solar radiation disruptions and high utility grid running expenses. The resulting linear mathematical problem was validated and plotted in MATLAB with mixed-integer linear programming (MILP). The simulation findings demonstrated that the proposed model of the EMS reduced the grid electricity costs by 38% for the campus microgrid. The environmental effects, economic effects, and the financial comparison of installed capacity of the PV system were also investigated here, and it was discovered that installing 1000 kW and 2000 kW rooftop solar reduced the GHG generation by up to 365.34 kg CO2/day and 700.68 kg CO2/day, respectively. The significant economic and environmental advantages based on the current scenario encourage campus owners to invest in DGs and to implement the installation of energy storage systems with advanced concepts.

Subsea Liquid Energy Storage – The Bridge Between Oil and Energy/Hydrogen

2021 ◽  
Author(s):  
Kristian Mikalsen
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Modular Design ◽  
Clean Energy ◽  
Building Blocks ◽  
Economic Benefits ◽  
Hydrogen Energy ◽  
Novel Technologies ◽  
System Solution ◽  
Ammonia Storage

Abstract This paper demonstrates a pioneering technology adaption for using a membrane-based subsea storage solution for oil/condensate, modified into storing clean energy storage in the form of ammonia (as a hydrogen energy carrier). The immediate application will provide an economical alternative to electrification of offshore platforms, instead of using expensive cables from shore. Storing ammonia at the seabed using innovative subsea storage technologies will dramatically reduce CO2 emissions for offshore assets. The fluid will be stored in a safe manner on the seafloor, protecting both personnel and marine life. The next step will be to include subsea ammonia storage as part of the global logistical value chain, which can power the merchant shipping fleet. Clean ammonia can be produced using renewable resources as wind or solar. It focuses on bridging the ongoing oil/condensate storage qualification, adapted into storing ammonia. The large-scale verification test scope is explained, and we show how the test is extended to also prove the concept of safe energy/ammonia storage. The ammonia storage concept is explained, and we show how this can be included as part of a low carbon future. The focus is the immediate market for providing clean power to existing or new offshore assets. The full system solution will encompass storage tanks placed nearby the platforms at safe water depths, riser systems providing fuel to the ammonia power generators, and the tank filling systems. Bridging and adapting technologies from the petroleum industry into renewables shows the importance of utilizing the technology developments and competence of the oil and gas business. The technical evaluations have shown that the oil/condensate storage can be adapted into storing energy/ammonia with minor modifications. Converting hydrogen into ammonia gives slight energy losses, but it is defended by the large economic benefits of storing ammonia versus pressure storage of hydrogen. The paper presents qualification work already completed and how to implement ammonia fuel storage for platforms. In addition, we show the test setup for a large-scale qualification provided by an original equipment manufacturer (OEM) company together with major Operators. Innovative modular design methods have shown that the concept can be included on existing offshore assets, which have limited topside space available. Adding green or blue ammonia as an alternative to power cables from shore have several benefits, and many of the connecting building blocks are falling into place. The main conclusion is how to adapt Novel technologies from the oil industry to store ammonia in a safe way on the seafloor.

scholarly journals Long Term Impact of Grid Level Energy Storage on Renewable Energy Penetration and Emissions in the Chilean Electric System

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1070 ◽  
Author(s):  
Serguey Maximov ◽  
Gareth Harrison ◽  
Daniel Friedrich
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Level Energy ◽  
Renewable Generation ◽  
Low Carbon ◽  
Solar Pv ◽  
Electricity System ◽  
Long Term Impact ◽  
Grid Level

Chile has abundant solar and wind resources and renewable generation is becoming competitive with fossil fuel generation. However, due to renewable resource variability their large-scale integration into the electricity grid is not trivial. This study evaluates the long-term impact of grid level energy storage, specifically Pumped Thermal Energy Storage (PTES), on the penetration of solar and wind energies and on CO2 emissions reduction in Chile. A cost based linear optimization model of the Chilean electricity system is developed and used to analyse and optimize different renewable generation, transmission and energy storage scenarios until 2050. For the base scenario of decommissioning ageing coal plants and no new coal and large hydro generation, the generation gap is filled by solar photovoltaic (PV), concentrated solar power (CSP) and flexible gas generation with the associated drop of 78% in the CO2 emission factor. The integration of on-grid 8h capacity storage increases the solar PV fraction which leads to a 6% reduction in operation and investment costs by 2050. However, this does not necessarily lead to further reductions in the long term emissions. Thus, it is crucial to consider all aspects of the energy system when planning the transition to a low carbon electricity system.

scholarly journals Prospects of a Meshed Electrical Distribution System Featuring Large-Scale Variable Renewable Power

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3399 ◽  
Author(s):  
Marco Cruz ◽  
Desta Fitiwi ◽  
Sérgio Santos ◽  
Sílvio Mariano ◽  
João Catalão
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Large Scale ◽  
Global Climate ◽  
Mixed Integer ◽  
Programming Approach ◽  
Renewable Power ◽  
Electrical Distribution ◽  
Stochastic Framework ◽  
Distribution Grids

Electrical distribution system operators (DSOs) are facing an increasing number of challenges, largely as a result of the growing integration of distributed energy resources (DERs), such as photovoltaic (PV) and wind power. Amid global climate change and other energy-related concerns, the transformation of electrical distribution systems (EDSs) will most likely go ahead by modernizing distribution grids so that more DERs can be accommodated. Therefore, new operational strategies that aim to increase the flexibility of EDSs must be thought of and developed. This action is indispensable so that EDSs can seamlessly accommodate large amounts of intermittent renewable power. One plausible strategy that is worth considering is operating distribution systems in a meshed topology. The aim of this work is, therefore, related to the prospects of gradually adopting such a strategy. The analysis includes the additional level of flexibility that can be provided by operating distribution grids in a meshed manner, and the utilization level of variable renewable power. The distribution operational problem is formulated as a mixed integer linear programming approach in a stochastic framework. Numerical results reveal the multi-faceted benefits of operating distribution grids in a meshed manner. Such an operation scheme adds considerable flexibility to the system and leads to a more efficient utilization of variable renewable energy source (RES)-based distributed generation.

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 Operation of Microgrid considering Renewable Energy Sources, Electric Vehicles and Demand Response

2019 ◽  
Vol 87 ◽  
pp. 01007 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Electric Vehicles ◽  
Hybrid System ◽  
Demand Response ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Energy Systems ◽  
Optimal Operation ◽  
Solar Pv ◽  
The Cost

This paper proposes a new optimal operation of Microgrids (MGs) in a distribution system with wind energy generators (WEGs), solar photovoltaic (PV) energy systems, battery energy storage (BES) systems, electric vehicles (EVs) and demand response (DR). To reduce the fluctuations of wind, solar PV powers and load demands, the BES systems and DR are utilized in the proposed hybrid system. The detailed modeling of WEGs, solar PV units, load demands, BES systems and EVs has been presented in this paper. The objective considered here is the minimization of total operating cost of microgrid, and it is formulated by considering the cost of power exchange between the main power grid and microgrid, cost of wind and solar PV energy systems, cost of BES systems, EVs and the cost due to the DR in the system. Simulations are performed on a test microgrid, and they are implemented using GAMS software. Various case studies are performed with and without considering the proposed hybrid system.

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.

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