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Mathematical modeling of electrochemical storage for incorporation in methods to optimize the operational planning of an interconnected micro grid

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第9期11卷 737-750页

作者： Elaheh MASHHOUR S.M.MOGHADDAS-TAFRESHI Department of Electrical Engineering K.N.Toosi University of Technology

We extract a mathematical model to simulate the steady-state charging and discharging behaviors of an electrochemical storage over a 24-hour time ***,we develop a model for optimizing the daily operational planning of an interconnected micro grid considering electrochemical *** optimization model is formulated to maximize the total benefit of the micro grid via selling power to its end consumers and also exchanging power with the wholesale energy market so that the constraints of distributed energy resources(DERs) and low-voltage grid are *** optimization problem is solved by a genetic algorithm,and applied on two micro grids operating under different scenarios containing the absence or presence of electrochemical *** of the results of the optimization model for this micro grid,with and without electrochemical storage,shows that the electrochemical storage can improve the economical efficiency of the interconnected micro grids by up to 10.16%.

关键词： Electrochemical storage Micro grid Operational planning distributed energy resources

Bi-objective optimal active and reactive power flow management in grid-connected AC/DC hybrid microgrids using metaheuristic-PSO

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Clean energy 2023年第6期7卷 1356-1380页

作者： Ssadik Charadi Houssam Eddine Chakir Abdelbari Redouane Abdennebi El Hasnaoui Mehdi Et-taoussi Electronics Power and Control Team Mohammadia School of Engineers(EMI)Mohammed V UniversityRabatMorocco SMARTiLab Moroccan School of Engineering Sciences(EMSI)RabatMorocco EEIS-Lab ENSET MohammediaHassan II UniversityCasablancaMorocco Ecole des mines de Rabat(ENSMR) RabatMorocco

In the context of evolving energy needs and environmental concerns,efficient management of distributed energy resources within microgrids has gained *** paper addresses the optimization of power flow management in a hybrid AC/DC microgrid through an energy management system driven by particle swarm *** traditional approaches that focus solely on active power distribution,our energy management system optimizes both active and reactive power allocation among *** leveraging 24-hour-ahead forecasting data encompassing load predictions,tariff rates and weather conditions,our strategy ensures an economically and environmentally optimized microgrid *** proposed energy management system has dual objectives:minimizing costs and reducing greenhouse gas *** optimized operation of polluting sources and efficient utilization of the energy storage system,our approach achieved significant cost savings of~15%compared with the genetic algorithm *** was largely attributed to the streamlined operation of the gas turbine system,which reduced fuel consumption and associated ***,particle swarm optimization maintained the efficiency of the gas turbine by operating at~80%of its nominal power,effectively lowering greenhouse gas *** effectiveness of our proposed strategy is validated through simu-lations conducted using the MATLAB®software environment.

关键词： distributed energy resources hybrid AC/DC microgrids particle swarm optimization renewable energy cost reduction

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

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Protection and Control of Modern Power Systems 2023年第2期8卷 99-138页

作者： Ahmed N.Sheta Gabr M.Abdulsalam Bishoy E.Sedhom Abdelfattah A.Eladl Electrical Engineering Department Faculty of EngineeringMansoura UniversityEl-MansouraEgypt

With the rapid development of electrical power systems in recent years,microgrids(MGs)have become increasingly *** improve network efficiency and reduce operating costs and emissions because of the integration of distributed renewable energy sources(RESs),energy storage,and source-load management *** these advances,the decentralized architecture of MGs impacts the functioning patterns of the entire system,including control strategy,energy management philosophy,and protection *** this context,developing a convenient protection strategy for MGs is challenging because of various obstacles,such as the significant variance in short-circuit values under different operating modes,two-way power flow,asynchronous reclosing,protection blinding,sympathetic tripping,and loss of *** light of these challenges,this paper reviews prior research on proposed protection schemes for AC-MGs to thoroughly evaluate network protection’s potential *** paper also provides a comprehensive overview of the MG structure and the associated protection challenges,solutions,real applications,and future trends.

关键词： Microgrid Active distribution network Microgrid protection Renewable energy sources Smart grids distributed energy resources energy storage

Centralized multi-agent implementation for securing critical loads in PV based microgrid

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Journal of Modern Power Systems and Clean energy 2014年第1期2卷 77-86页

作者： A.SUJIL Saurabh Kumar AGARWAL Rajesh KUMAR Arya College of Engineering and IT JaipurKukasIndia MNIT JaipurRajasthanIndia

The promotion of recent critical load securing of power system research has been directed towards centralized commands and control *** paper presents a multi-agent based critical load securing in a PV based *** the trustworthy operation of critical buildings,the reliability,efficiency and security of the power system should be *** present,to increase the security and reliability of electricity supply there is a need to design a distributed and autonomous subset of a larger grid or a *** work also clearly discusses the modelling and simulation of specialized microgrid called an Intelligent distributed Autonomous Power Systems(IDAPS).The IDAPS microgrid plays a crucial role in constructing power grid that facilitate use of renewable energy *** microgrid comprising of solar photovoltaic as distributed energy resources,different loads and their control algorithms,has been *** case studies have been simulated to evaluate the operation of the IDAPS microgrid during parallel,islanded mode operation and securing critical loads during emergency.

关键词： Microgrid Multi-agent system(MAS) Critical load securing distributed energy resources

Emergence of blockchain-technology application in peer-to-peer electrical-energy trading: a review

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Clean energy 2021年第1期5卷 104-123页

作者： Manish Kumar Thukral Manipal University Jaipur Electrical Engineering DepartmentJaipurIndia

Renewable-energy resources require overwhelming adoption by the common masses for safeguarding the environment from *** this context,the prosumer is an important emerging concept.A prosumer in simple terms is the one who consumes as well as produces electricity and sells it either to the grid or to a *** the present scenario,peer-to-peer(P2P)energy trading is gaining momentum as a new vista of research that is viewed as a possible way for prosumers to sell energy to *** P2P energy trading is the only method of making renewable-energy sources popular among the common *** making P2P energy trading successful,blockchain technology is sparking considerable interest among *** with smart contracts,a blockchain provides secure tamper-proof records of transactions that are recorded in distributed ledgers that are *** paper explores,using a thorough review of recently published research work,how the existing power sector is reshaping in the direction of P2P energy trading with the application of blockchain *** challenges that are being faced by researchers in the implementation of blockchain technology in the energy sector are ***,this paper presents different start-ups that have emerged in the energy-sector domain that are using blockchain *** give insight into the application of blockchain technology in the energy sector,a case of the application of blockchain technology in P2P trading in electrical-vehicle charging is *** the end,some possible areas of research in the application of blockchain technology in the energy sector are discussed.

关键词： blockchain consensus algorithms microgrid peer-to-peer energy trading distributed energy resources electric-vehicle charging

Implementation of artificial intelligence techniques in microgrid control environment:Current progress and future scopes

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能源与人工智能(英文) 2022年第2期8卷 213-231页

作者： Rohit Trivedi Shafi Khadem International energy Research Centre Tyndall National InstituteUCCCorkIreland

Microgrids are gaining popularity by facilitating distributed energy resources(DERs)and forming essential consumer/prosumer centric integrated energy ***,coordination and control of multiple DERs and managing the energy transition in this environment is a strenuous *** control techniques are not enough to support dynamic microgrid *** of Artificial Intelligence(AI)techniques seems to be a promising solution to enhance the control and operation of microgrids in future smart grid ***,this paper briefly reviews the control architectures,existing conventional controlling techniques,their drawbacks,the need for intelligent controllers and then extensively reviews the possibility of AI implementation in different control structures with a special focus on the hierarchical control *** paper also investigates the AI-based control strategies in networked/interconnected/multi-microgrids *** concludes with the summary and future scopes of AI implementation in hierarchical control layers and structures including single and networked microgrids environments.

关键词： Artificial intelligence Microgrid control architectures Hierarchical control Networked microgrids Machine learning distributed energy resources

Reinforcement learning for whole-building HVAC control and demand response

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能源与人工智能(英文) 2020年第2期2卷 15-32页

作者： Donald Azuatalam Wee-Lih Lee Frits de Nijs Ariel Liebman Department of Data Science and AI Faculty of ITMonash UniversityClaytonVIC 3168Australia Monash eResearch Centre Monash UniversityClaytonVIC 3168Australia Monash energy Institute Monash UniversityClaytonVIC 3168Australia

This paper proposes a novel reinforcement learning(RL)architecture for the efficient scheduling and control of the heating,ventilation and air conditioning(HVAC)system in a commercial building while harnessing its de-mand response(DR)*** advances in automated building management systems,this can be achieved seamlessly by a smart autonomous RL agent which takes the best action,for example,a change in HVAC temper-ature set point,necessary to change the electricity usage pattern of a building in response to demand response signals,and with minimal thermal comfort impact to *** research in this area has tackled only individual aspects of the problem using ***,due to the challenges in implementing demand response with whole-building models,simpler analytical models which poorly capture reality have been used *** where whole-building models are applied,RL is used for HVAC control mainly to achieve energy efficiency goals while demand response is ***,in this research,we implement a holistic framework by designing an efficient RL controller for a whole-building model which learns to optimise and control the HVAC system for improved energy efficiency and thermal comfort levels in addition to achieving demand response *** simulation results show that by applying reinforcement learning for normal HVAC operation,a maximum weekly energy reduction of up to 22%can be achieved compared to a handcrafted baseline ***,by employing a DR-aware RL controller during demand response periods,average power reductions or increases of up to 50%can be achieved on a weekly basis compared to the default RL controller,while keeping occupant thermal comfort levels within acceptable bounds.

关键词： Demand response Reinforcement learning Whole-building HVAC control distributed energy resources Optimal HVAC energy scheduling

Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning

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Energy and AI

energy and AI 2023年第3期13卷 137-148页

作者： Fernando Gallego Cristian Martin Manuel Diaz Daniel Garrido ITIS Software Institute University of MalagaMalagaSpain

The smart grid concept is key to the energy revolution that has been taking place in recent *** Grids have been present in energy research since their ***,the scarcity of data from different energy sources,hardware power,or co-simulation environments has hindered their *** advances in multi-agent-based systems,the possibility of simulating the behavior of different energy sources,combining real building consumption,and simulated data,storage batteries and vehicle charging points,has opened *** development has resulted in much research published using both simulated and physical *** these investigations show that the main problem is that the machine learning algorithms do not fully match the real behavior,it is complex to use them to replicate the different actions to be *** paper aims to combine the approach of behavior prediction with state-of-the-art techniques,such as deep learning and deep reinforcement learning,to simulate unknown or critical system scenarios.A very important element in smart grids is the possibility of maintaining consumption within specific ranges(flexibility).For this purpose,we have made use of Tensorflow libraries that predict energy consumption and deep reinforcement learning to select the optimal actions to be performed in our *** developed platform is flexible enough to include new technologies such as smart batteries,electric vehicles,etc.,and it is oriented to real-time operation,being applied in an on-going real project such as the European ebalance-plus project.

关键词： Multi-agent based system Smart grid distributed energy resources

Optimal Control and Bidding Strategy of Virtual Power Plant with Renewable Generation

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World Journal of Engineering and Technology 2016年第3期4卷 27-34页

作者： Yuchang Kang Kwoklun Lo University of Strathclyde Glasgow UK

A Virtual Power Plant (VPP), aggregating the capacities of distributed energy resources (DER) as a single profile, provides presence of DERs in the electricity market. In this paper, a stochastic bidding model is proposed for the VPP to optimise the bids in the day-ahead and balancing market, with the objective to maximise its expected economic profit. The performance of proposed strategy has been assessed in a modified commercial VPP (CVPP) system with wind generation installed, and also the results are compared with the ones achieved from other commonly-used strategies to verify its feasibility.

关键词： Virtual Power Plant Electricity Market distributed energy resources