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demand side management for solving environment constrained economic dispatch of a microgrid system using hybrid MGWOSCACSA algorithm

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 256-267页

作者： Sourav Basak Bishwajit Dey Biplab Bhattacharyya Department of Electrical Engineering Indian Institute of Technology(Indian School of Mines)DhanbadIndia Department of Electrical and Electronics Engineering Gandhi Institute of Engineering and TechnologyGunupurOdishaIndia

Microgrids are a type of restricted power distribution systems in which electricity is generated,transmitted,and distributed within a small geographic *** are used to ensure that renewable energy sources are used to their full *** provide further benefits,such as lowering transmission losses and the expenses associated with *** research compares and contrasts the aims of economic dispatch,emission dispatch,fractional programing based combined economic emission dispatch,and environmental restricted economic dispatch(ECED).A low-voltage microgrid system is investigated for three different *** a study optimization tool,an innovative,resilient,and strong hybrid swarm-intelligence optimization algorithm is utilised,which is based on combining the properties of the traditional grey-wolf optimiser,sine-cosine algorithm,and crow search *** employment of a time-of-use energy mar-ket pricing approach instead of a fixed pricing plan resulted in a 15%decrease in gen-eration costs throughout the course of the *** ECED was assessed with a 15%-20%demand side management based restructured load demand model for the microgrid system,the generation costs were reduced even further.

关键词： demand side management energy management MGWOSCACSA microgrid

Privacy Preserving demand side management Method via Multi-Agent Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2023年第10期10卷 1984-1999页

作者： Feiye Zhang Qingyu Yang Dou An Faculty of Electronic and Information Engineering Xi’an Jiaotong UniversityXi’an 710049China Key Laboratory for Manufacturing Systems Engineering(SKLMSE) Xi’an Jiaotong UniversityXi’an 710049 MOE Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong UniversityXi’an 710049China

The smart grid utilizes the demand side management technology to motivate energy users towards cutting demand during peak power consumption periods, which greatly improves the operation efficiency of the power grid. However, as the number of energy users participating in the smart grid continues to increase, the demand side management strategy of individual agent is greatly affected by the dynamic strategies of other agents. In addition, the existing demand side management methods, which need to obtain users’ power consumption information,seriously threaten the users’ privacy. To address the dynamic issue in the multi-microgrid demand side management model, a novel multi-agent reinforcement learning method based on centralized training and decentralized execution paradigm is presented to mitigate the damage of training performance caused by the instability of training experience. In order to protect users’ privacy, we design a neural network with fixed parameters as the encryptor to transform the users’ energy consumption information from low-dimensional to high-dimensional and theoretically prove that the proposed encryptor-based privacy preserving method will not affect the convergence property of the reinforcement learning algorithm. We verify the effectiveness of the proposed demand side management scheme with the real-world energy consumption data of Xi’an, Shaanxi, China. Simulation results show that the proposed method can effectively improve users’ satisfaction while reducing the bill payment compared with traditional reinforcement learning(RL) methods(i.e., deep Q learning(DQN), deep deterministic policy gradient(DDPG),QMIX and multi-agent deep deterministic policy gradient(MADDPG)). The results also demonstrate that the proposed privacy protection scheme can effectively protect users’ privacy while ensuring the performance of the algorithm.

关键词： Centralized training and decentralized execution demand side management multi-agent reinforcement learning privacy preserving

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Energy Planning in Small Municipalities Based on Monitoring Results and demand side management

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Journal of Energy and Power Engineering 2014年第3期8卷 453-460页

作者： Dagnija Blumberga Andra Blumberga Marika Rosa Aiga Barisa Institute of Energy Systems and Environment Riga Technical University Riga L V-1010 Latvia

Recent estimates state that the European Union is on course to achieve only half of the 20% energy consumption reduction target by 2020. As the first governmental stakeholders involved in the implementation of energy saving initiatives, municipalities play a strategic role in the energy planning process. This paper focuses on establishment of an energy planning methodology for small municipalities with numbers of inhabitants in range of 1,000-10,000 which often face common problems associated with low efficient district heat supply systems and decreasing energy consumption in buildings. Particular attention is paid to DSM （demand side management） activities. DSM scheme includes legislative and financial flows with small investments from municipality side. Based on increased information and motivation it promotes reduction of energy consumption in all kinds of buildings. Practical experience has shown that application of DSM measures allows achieving 20% energy savings in municipal buildings during the first year.

关键词： demand side management energy efficiency energy planning.

Two-Time-Scale Stochastic Optimization Dispatch of PV-Microgrid Considering demand side management

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Two-Time-Scale Stochastic Optimization Dispatch of PV-Microg...

Microgrid Energy management: Classification, Review and Challenges

第36届中国控制会议

作者： LIU Shilin YU Weiwei Anhui Key Laboratory of Detection Technology and Energy Saving Devices Anhui Polytechnic University

In this paper,considering the uncertainty of photovoltaic(PV) power,a two-time-scale stochastic optimization dispatch schedule for photovoltaic based microgrid(PV-MG) using demand side management(DSM) programs is ***,based on analysis of the typical structure of PV-MG and its component models,an economic dispatch model based on chance constrained programming(CCP) is established with a longer period according to the short-term day-ahead PV output and load *** the model,the mechanisms of time of use(TOU) and DSM are applied,and the related constraints are all considered *** on the characteristics of the established optimization model,such as multi-constraint,nonlinearity,and mixed-integer,a solving strategy based on genetic algorithm(GA) with Monte Carlo simulation is ***,by sampling the powers of PV and load real-timely,a real-time power adjustment strategies with considering three-region charging or discharging of BESS are adopted,so as to compensate the deviation between day-ahead scheduling and real-time ***,taking an actual PV-MG as example,the performances of the proposed two-time-scale schedule under different conditions are analyzed and compared.

关键词： PV-MG demand side management stochastic optimization dispatch chance constrained programming power adjustment strategies

来源： cnki会议评论

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1425-1438页

作者： Lejla Ahmethodzic Mustafa Music Senad Huseinbegovic the Faculty of electrical engineering University of SarajevoBiHBosnia and Herzegovina. Public Electric Utility Elektroprivreda SarajevoBiHand Faculty of electrical engineeringUniversity of SarajevoBosnia and Herzegovina

Microgrids provide a way to introduce ecologically acceptable energy production to the power *** main chal-lenges with microgrids are overall control,as well as maintaining safe,reliable and economical *** explore implementing these possibilities,but in rapidly expanding areas of research there is always a need to review what has been done so far and give guidelines to new researchers on topics in need of more *** paper offers an extensive literature review of the energy management part of the microgrid control *** on extensive literature research,the authors of this article offer their view on energy management system *** through centralized and decentralized structure is *** most popular research topic is the optimization of energy *** paper offers a new perspective on the classification of optimization methods used for microgrid energy management,listing and sorting many problem related *** microgrid is not an assembly of independent elements but rather a coordinated system of intertwined *** elements of microgrid functioning,like energy storage systems,demand side *** vehicles are also explored in this paper,giving the current state of their research through *** Terms-demand side management,electric vehicles,energy management system,energy storage systems,microgrid,operation and control.

关键词： demand side management electric vehicles energy management system energy storage systems microgrid operation and control.

Integrated Optimization of Smart Home Appliances with Cost-effective Energy management System

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CSEE Journal of Power and Energy Systems 2019年第2期5卷 249-258页

作者： Tesfahun Molla Baseem Khan Bezabih Moges Hassan Haes Alhelou Reza Zamani Pierluigi Siano B.Moges are with Hawassa University HawassaSouthern Nations 1530Ethiopia Tishreen University 2230 LattakiaSyria Tarbiat Modares University TehranIran Siano is with The Department of management&Innovation Systems University of SalernoFiscianoCampania 84084Italy

Smart grid enables consumers to control and sched-ule the consumption pattern of their appliances,minimize energy cost,peak-to-average ratio(PAR)and peak load *** this paper,a general architecture of home energy management system(HEMS)is developed in smart grid scenario with novel restricted and multi-restricted scheduling method for the residen-tial *** optimization problem is developed under the time of use pricing(TOUP)*** optimize the formulated problem,a powerful meta-heuristic algorithm called grey wolf optimizer(GWO)is utilized,which is compared with particle swarm optimization(PSO)algorithm to show its effectiveness.A rooftop photovoltaic(PV)system is integrated with the system to show the cost effectiveness of the *** analysis,eight different cases are considered under various time scheduling algorithms.

关键词： demand side management GWO home energy management system PSO peak-to-average ratio

Personalized real-time pricing for efficient and fair demandresponse in energy cooperatives and highly competitive flexibility markets

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Journal of Modern Power Systems and Clean Energy 2019年第1期7卷 151-162页

作者： Georgios TSAOUSOGLOU Nikolaos EFTHYMIOPOULOS Prodrommos MAKRIS Emmanouel VARVARIGOS Department of Electrical and Computer Engineering Institute of Communication and Computer Systems National Technical University of Athens Electrical and Computer Systems Engineering Monash University

This paper contributes to the well-known challenge of active user participation in demand side management(DSM).In DSM, there is a need for modern pricing mechanisms that will be able to effectively incentivize selfishly behaving users in modifying their energy consumption pattern towards system-level goals like energy *** generally desired properties of DSM algorithms are: user satisfaction, energy cost minimization and *** this paper, a personalized real-time pricing(P-RTP) mechanism design framework is proposed that fairly allocates the energy cost reduction only to the users that provoke ***, the proposed mechanism achieves significant reduction of the energy cost without sacrificing at all the welfare(user satisfaction)of electricity *** business model that the proposed mechanism envisages is highly competitive flexibility market environments as well as energy cooperatives.

关键词： demand response Smart grid Electricity pricing Scheduling demand side management Personalized real-time pricing Energy cooperative

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An overview of selected topics in smart grids

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Frontiers in Energy 2016年第4期10卷 441-458页

作者： S. Haft Charan CHERUKURI Balasubramaniyan SARAVANAN School of Electrical Engineering VIT University Vellore 632014 India

Smart technologies when used in the tradi- tional grid infrastructure will provide a different environ- ment and working conditions in the grid by bringing the required smartness into the grid, called the smart grid. The smart grid can play a major role in the upcoming days to come because there is a necessity to integrate coordinated renewable energy resources into the grid and to operate the grids at a higher efficiency considering many aspects including reliability of the supply. Apart from this, there is a necessity to manage the demand supply gap in the smart grid by optimally scheduling the generators or by effectively scheduling the demand side resources instead of going for the traditional methods like partial or full load shedding. This paper presents an overview on the present state-of-the-art of smart grid technologies and broadly classifies the papers referred into two major areas, papers based on improvement of operational efficiency in smart grids and papers based on smartness in maintaining the demand supply gap. Some of the papers projected in this work also give a brief overview of the necessity of the smart grid.

关键词： smart grid demand side management electric springs operational efficiency

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Residential electrical vehicle charging strategies:the good,the bad and the ugly

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Journal of Modern Power Systems and Clean Energy 2015年第2期3卷 190-202页

作者： Mingming LIU Paul MCNAMARA Robert SHORTEN Sean MCLOONE Hamilton Institute Maynooth UniversityMaynoothCo.KildareIreland Department of Electronic Engineering Maynooth UniversityMaynoothCo.KildareIreland BM Research DublinIreland School of Electronics Electrical Engineering and Computer ScienceQueen’s University BelfastBelfastUK

In recent years,a wide variety of centralised and decentralised algorithms have been proposed for residential charging of electric vehicles(EVs).In this paper,we present a mathematical framework which casts the EV charging scenarios addressed by these algorithms as optimisation problems having either temporal or instantaneous optimisation objectives with respect to the different actors in the power *** this framework and a realistic distribution network simulation testbed,we provide a comparative evaluation of a range of different residential EV charging strategies,highlighting in each case positive and negative characteristics.

关键词： Electric vehicle Smart grid Decentralised control Centralised control demand side management