A Stochastic Optimization Method for Planning and Real-Time Control of Integrated PV-Storage Systems: Design and Experimental Validation

Conte, Francesco; Massucco, S.; Saviozzi, M.; Silvestro, F.

doi:10.1109/tste.2017.2775339

Cited by 47 publications

(22 citation statements)

References 23 publications

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“…Authors Francesco Conte, Stefano Massucco in paper [43] emphasizes on the maximization of the financial benefit as required by its distinct generation profile. Mixed integer Stochastic optimization algorithm identifies the daily power generation profile based on PV power forecast and Real Time Operation Control (RTOC) adjusts the Battery energy storage systems (BESS) power exchange to achieve the intended profile.…”

Section: Energy Management Techniques Based On Approximate Modelsmentioning

confidence: 99%

Optimization Techniques for Energy handling System in a Microgrid

Joseph*,

Jeyaprabha

2020

IJRTE

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The energy from the renewable energy sources primarily depends on the geographical factors. Intermittency is a major issue for renewable energy sources which will result in comparatively high electricity generation cost and a proper need of an energy management system. In an intelligent era, the increasing penetration level of solar photovoltaic (PV) energy is becoming a tedious task. Hence, an energy management system is required to control the energy flow when there is more than one source connected. Real time energy management becomes challenging because of the time varying prices of electricity, mismatch of generation and demand etc. So, they are widely related to the optimization techniques. This paper explains a broader review of various challenges on integration of Renewable energy sources to the grid. Also, an extensive review of numerous approaches of Energy management system is given in this paper. Different optimization techniques are discussed along with its advantages and limitations for better and more optimized Energy management in the micro grid. A proper energy management system helps to decrease the electricity prices as well as increases the power system reliability. Also, improves the grid stability.

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Section: Energy Management Techniques Based On Approximate Modelsmentioning

confidence: 99%

Optimization Techniques for Energy handling System in a Microgrid

Joseph*,

Jeyaprabha

2020

IJRTE

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“…Microgrid energy management optimization with considering both renewable uncertainty and RT market price 71 Virtual queues from Lyapunov optimization A new auction model is presented for market RT operation 73 Fast learning optimiser (FlO) A two-layer optimization using model-free Q-learning is employed for knowledge learning and decision making is proposed for gridconnected microgrid, 57 Chance-constrained stochastic optimization New RT microgrid planning and control considering uncertainties of the PV power predictions 74 Fuzzy logic controller Decentralized reactive power control and stability improvement 47 Making a game with Nash equilibrium A new distributed RT electricity allocation (DRTA) scheme is presented 49 Heuristic optimization methods…”

Section: Robust Optimizationmentioning

confidence: 99%

A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

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Summary Microgrid is a recently developed concept for future power systems. The main characteristics of the microgrid are the capability of integration of renewable energy sources and the ability to operate in two grid‐connected and islanded modes. A significant challenge of microgrid implementation is developing comprehensive control methods to ensure efficient, stable, and reliable operation. Real‐time studies are a promising approach in this case. In this paper, various real‐time energy management approaches have been thoroughly explained following a new categorization of them. A significant literature review of real‐time simulation and modeling methods has also been presented. A review of different applications of hardware‐in‐the‐loop testing of the microgrid is included in the present study. Finally, a discussion on demand for further research has been made. The presented work is organized to allow a reader to understand the importance of real‐time studies of microgrids and highlight trends in literary works without delving deeply into each one.

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“…As far as energy storage is concerned, there are many other operating strategies. In residential PV-battery storage systems, the operation of the battery can be optimized to achieve an economic optimum [32,33], such as lowest electricity bill, when variables such as varying electricity tariff are taken into consideration. Another valuable strategy would be maximizing battery life [34,35] while not compromising too much of the other objectives such as self-consumption.…”

Section: Conclusion and Future Prospectsmentioning

confidence: 99%

Solar PV-Battery-Electric Grid-Based Energy System for Residential Applications: System Configuration and Viability

et al. 2019

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Distributed renewable energy share increase in electricity generation is creating challenges for the whole power system, due to its intermittent and nonprogrammable nature. Energy storage has the potential to solve those issues although its technical, economic, and environmental impact is up for debate. The paper presents a study about a PV-battery energy storage system installed in a grid-connected residential apartment in the Green Energy Laboratory at Shanghai Jiao Tong University, China. Daily experimental results show how the presence of energy storage reduces the midday feed-in of excess PV power and the evening peak demand, providing benefits to the distribution network in terms of reduced voltage swings and peak load. Considering the Chinese context, an economic analysis is carried out to assess the profitability of residential PV-battery systems, using the net present value as the economic indicator of an 18-year investment in which the battery pack is replaced twice (6 life years). The analysis shows that such system is not economically viable due to a combination of low electricity prices, valuable PV incentives, and high technology costs. However, considering a future scenario of doubled electricity tariff, halved export tariff, and falling technology costs (-66% battery and -17% PV and inverter), PV-battery investment becomes profitable and shows more resilience to future scenarios than PV-only investment.

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A Stochastic Optimization Method for Planning and Real-Time Control of Integrated PV-Storage Systems: Design and Experimental Validation

Cited by 47 publications

References 23 publications

Optimization Techniques for Energy handling System in a Microgrid

Optimization Techniques for Energy handling System in a Microgrid

A review on real‐time simulation and analysis methods of microgrids

Solar PV-Battery-Electric Grid-Based Energy System for Residential Applications: System Configuration and Viability

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