Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region

Sidorov, Denis; Panasetsky, Daniil; Tomin, Nikita; Karamov, Dmitriy; Жуков, А. В.; Muftahov, Ildar; Dreglea, Aliona; Liu, Fang; Li, Yong

doi:10.3390/en13051226

Cited by 35 publications

(26 citation statements)

References 33 publications

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“…Figure 1 shows a visualization multi-year meteorological data sets. The data provided by these models were verified in various natural and climatic areas in Eastern Siberia and Russian Far East [7,8].…”

Section: Analysis Of Natural and Climatic Factorsmentioning

confidence: 85%

Modelling of diesel generator operating modes on the basis of the engine speed characteristic in autonomous photovoltaic systems

Karamov¹,

Наумов²,

Ivanov³

et al. 2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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The article presents a universal diesel generator model based on the processing of the engine speed characteristic. Processing uses linear interpolation with a fixed discrete step. An autonomous photovoltaic system arbitrarily located in Eastern Siberia is used as a case study. Solar radiation modelling was based on multi-year meteorological data sets using the tandem of Iqbal-Kasten/Czeplak models. The photovoltaic system under investigation consists of two 400 kW diesel generators (totalling 800 kW) and one 375 kW solar power plant. In calculating the operating modes, the diesel power plant’s minimum limit load factor was taken into consideration. The resulting values of the diesel generator’s operating modes show the following patterns. As an example, the lesser the diesel generator’s load, the lesser engine speed and the higher specific fuel consumption. The suggested model can be used in comprehensive energy research, specifically in areas such as optimal equipment configuration, operational reliability and sustainability as well as cost-efficiency.

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Section: Analysis Of Natural and Climatic Factorsmentioning

confidence: 85%

Modelling of diesel generator operating modes on the basis of the engine speed characteristic in autonomous photovoltaic systems

Karamov¹,

Наумов²,

Ivanov³

et al. 2020

The International Workshop on Information, Computation, and Control Systems for Distributed Environments

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“…In recent years, MDP appears to be a promising mathematical formulation of the optimizing microgrid operation problem [63,64]. A number of studies clearly demonstrate the effectiveness of energy microgrids management using MDP-based methods: dynamic programming [65,66], deep RL [55,56,58,67], and Monte Carlo models [57,68].…”

Section: Microgrid Mdp-based Environment Simulatormentioning

confidence: 99%

“…Such an approach will significantly reduce computational costs, because a stochactic optimization problem is solved offline to find the optimal policy for all possible scenarios. In recent years, several successful studies have been published on the use of advanced RL methods for optimal control of microgrids based on deep Q-networks (DQN) [55,56], Monte-Carlo tree search (MCTS) [57], deep policy gradient [58], batch RL [59], multi-agent RL [60], etc. Part of the research is devoted to comparing the effectiveness of the RL methods (capable of giving quick, but approximate solutions) with traditional optimization methods, for example, mixed-integer linear programming (MILP) [61,62].…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems Using Reinforcement Learning Techniques

et al. 2020

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The importance of efficient utilization of biomass as renewable energy in terms of global warming and resource shortages are well known and documented. Biomass gasification is a promising power technology especially for decentralized energy systems. Decisive progress has been made in the gasification technologies development during the last decade. This paper deals with the control and optimization problems for an isolated microgrid combining the renewable energy sources (solar energy and biomass gasification) with a diesel power plant. The control problem of an isolated microgrid is formulated as a Markov decision process and we studied how reinforcement learning can be employed to address this problem to minimize the total system cost. The most economic microgrid configuration was found, and it uses biomass gasification units with an internal combustion engine operating both in single-fuel mode (producer gas) and in dual-fuel mode (diesel fuel and producer gas).

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“…The use of biomass makes it possible to smooth stochastic generation as part of hybrid power plants [33,34]. The processes of thermochemical conversion of biomass can be used to store the energy of solar radiation (along with electric batteries [35,36], carbonate and oxide cycles [37,38], and others). To this end, fixed or fluidized bed reactors and vortex devices were developed [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Fuel and Steam Consumption on Characteristics of Fixed Bed Process of Woody Biomass Steam Gasification with Intensive Heat Supply

Donskoy

2021

Energy Systems Research

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Plant biomass is one of the most widespread renewable energy sources. Energy utilization of biomass allows solving some problems associated with the development of off-grid energy systems and the processing of combustible waste (primarily agricultural and forestry waste). This paper is devoted to the study of an allothermal gasification process of plant biomass materials using a kinetic-thermodynamic model developed by the author. The gasification process is considered stationary, and steam is used as a gasification agent. The power of the supplied heat is considered constant (10 kW). One of the significant tasks related to allothermal gasification is to choose flowrate parameters so that the heat supplied is efficiently used in chemical reactions without the threat of reactor overheating. The determination of the boundaries of the safe gasifier operation involved variant calculations with a view to optimizing the gasification conditions. The calculation results show that the allothermal gasification process can proceed with a thermochemical efficiency of about 70%. For each fixed fuel consumption level, there is an optimal fuel-steam ratio. The complete conversion of biomass requires sufficiently high temperatures. The produced gas contains a significant steam fraction (>50 vol%) even under optimal conditions. The calculated fraction of hydrogen in dry gas is up to 60vol%. The data obtained can be used to assess the efficiency of energy units with biomass gasification using high-temperature sources, for example, in systems that use and store solar thermal energy.

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Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region

Cited by 35 publications

References 33 publications

Modelling of diesel generator operating modes on the basis of the engine speed characteristic in autonomous photovoltaic systems

Modelling of diesel generator operating modes on the basis of the engine speed characteristic in autonomous photovoltaic systems

Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems Using Reinforcement Learning Techniques

The Influence of Fuel and Steam Consumption on Characteristics of Fixed Bed Process of Woody Biomass Steam Gasification with Intensive Heat Supply

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