P2P transaction method for distributed energy prosumers based on reputation value

Adding a reputation incentive system to peer-to-peer(P2P)energy transactions can encourage prosumers to regulate their trading behavior,which is important for ensuring the efficiency and reliability of P2P transactions.This study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value incentives.First,the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value,and a reputation incentive model of P2P transactions for prosumers was constructed.Then,the penalty coefficient was applied to the cost function of the prosumers,and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was established.Furthermore,the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function,and the Nash equilibrium solution of the game was obtained via a relaxation algorithm.Finally,the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation value.The results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P transactions.It can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

A Distributed Transactive Energy Mechanism for Integrating PV and Storage Prosumers in Market Operation

The decreasing cost of solar photovoltaics(PVs)and battery storage systems is driving their adoption in the residential distribution system,where more consumers are becoming prosumers.Accompanying this trend is the potential roll-out of home energy management systems(HEMSs),which provide a means for prosumers to respond to externalities such as energy price,weather,and energy demands.However,the economic operation of prosumers can affect grid security,especially when energy prices are extremely low or high.Therefore,it is paramount to design a framework that can accommodate the interests of the key stakeholders in distribution systems—namely,the network operator,prosumer,and aggregator.In this paper,a novel transactive energy(TE)-based operational framework is proposed.Under this frame-work,aggregators interact with the distribution grid operator through a negotiation process to ensure network security,while at the lower level,prosumers submit their schedule to the aggregator through the HEMS.If network security is at risk,aggregators will send an additional price component representing the cost of security(CoS)to the prosumer to stimulate further response.The simulation results show that the proposed framework can effectively ensure the economic operation of aggregators and prosumers in distribution systems while maintaining grid security.

Security Constrained Distributed Transaction Model for Multiple Prosumers

Massive access of renewable energy has prompted demand-side distributed resources to participate in regulation and improve flexibility of power systems. With large-scale access of massive, decentralized, and diverse distributed resources, demand-side market members have transformed from traditional “consumers” to “prosumers”. To explore the distributed transaction model of prosumers, in this paper, a multi-prosumer distributed transaction model is proposed, and the Conditional Value-at-Risk (CVaR) theory is applied to quantify potential risks caused by the stochastic characteristics inherited from renewable energy. First, a prosumer model under constraints of the distribution network including photovoltaic units, fuel cells, energy storage system, central air conditioning and flexible loads is established, and a multi-prosumer distributed transaction strategy is proposed to achieve power sharing among multiple prosumers. Second, a prosumer transaction model based on CVaR is constructed to measure risks inherited from the uncertainty of PV output within the prosumer and ensure safety of system operation in extreme PV output scenarios. Then, the alternating direction multiplier method (ADMM) is utilized to solve the constructed model efficiently. Finally, distributed transaction costs of prosumers are distributed fairly based on the generalized Nash equilibrium to maximize social benefits. Simulation results show the multi-prosumer distributed transaction mechanism established under the proposed generalized Nash equilibrium method can encourage power sharing among prosumers, increasing their own income and social benefits. Also, the CVaR can assist decision making of prosumers in weighting the risks and benefits, improving system resilience through energy management of prosumers.

Cloud-edge-based We-Market:Autonomous Bidding and Peer-to-peer Energy Sharing Among Prosumers

With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed coordination.This paper is devoted to solving the specific problems of distributed energy management and autonomous bidding and peer-to-peer(P2P)energy sharing among prosumers.A novel cloud-edge-based We-Market is presented,where the prosumers,as edge nodes with independent control,balance the electricity cost and thermal comfort by formulating a dynamic household energy management system(HEMS).Meanwhile,the autonomous bidding is initiated by prosumers via the modified Stone-Geary utility function.In the cloud center,a distributed convergence bidding(CB)algorithm based on consistency criterion is developed,which promotes faster and fairer bidding through the interactive iteration with the edge nodes.Besides,the proposed scheme is built on top of the commercial cloud platform with sufficiently secure and scalable computing capacity.Numerical results show the effectiveness and practicability of the proposed We-Market,which achieves 15%cost reduction with shorter running time.Comparative analysis indicates better scalability,which is more suitable for largerscale We-Market implementation.

Pricing Mechanism for Community Prosumers in Decentralized Electricity Market

A novel pricing mechanism for peer-to-peer(P2P)energy trading among the community prosumers is proposed.The prosumers are composed of the sellers with surplus energy and the buyers with insufficient energy.The buyers can adjust the energy consumption behavior based on the price and quantity of the energy supplied by the sellers.Two separate competitions exist in the trading process:1)the competition of price among the sellers;and 2)the competition of seller selection among the buyers.The price competition among sellers is modeled on the basis of optimal supply response.Based on the optimal demand response,the modeling for buyers’dynamic behaviors is used to select sellers and decide the trading quantity.Furthermore,the Stackelberg game is used to analyze the interaction between the buyers act as followers and sellers act as leaders.P2P optimal pricing is achieved by maximizing social welfare.The proposed method is applied to small community prosumers with distributed energy resources(DERs).Simulation results show that the proposed P2P energy pricing mechanism can provide significant financial benefits for the community.First,with the increase of demand,the created welfare flows to the seller as the supply is lower than the demand.Second,as the supply is exceeding the demand,the created welfare with the increase of DERs supply flows to the buyer as the DERs supply is lower,and flows to the buyer and seller as the DERs supply is higher.The results also demonstrate that:the higher the adoption of DERs,the higher the social welfare.

LSTM-based Energy Management for Electric Vehicle Charging in Commercial-building Prosumers

As typical prosumers,commercial buildings equipped with electric vehicle(EV)charging piles and solar photovoltaic panels require an effective energy management method.However,the conventional optimization-model-based building energy management system faces significant challenges regarding prediction and calculation in online execution.To address this issue,a long short-term memory(LSTM)recurrent neural network(RNN)based machine learning algorithm is proposed in this paper to schedule the charging and discharging of numerous EVs in commercial-building prosumers.Under the proposed system control structure,the LSTM algorithm can be separated into offline and online stages.At the offline stage,the LSTM is used to map states(inputs)to decisions(outputs)based on the network training.At the online stage,once the current state is input,the LSTM can quickly generate a solution without any additional prediction.A preliminary data processing rule and an additional output filtering procedure are designed to improve the decision performance of LSTM network.The simulation results demonstrate that the LSTM algorithm can generate near-optimal solutions in milliseconds and significantly reduce the prediction and calculation pressures compared with the conventional optimization algorithm.

Optimizing Decision-Making of A Smart Prosumer Microgrid Using Simulation

Distributed renewable energy sources offer significant alternatives for Qatar and the Arab Gulf region’s future fuel supply and demand.Microgrids are essential for providing dependable power in difficult-to-reach areas while incorporating significant amounts of renewable energy sources.In energy-efficient data centers,distributed generation can be used to meet the facility’s overall power needs.This study primarily focuses on the best energy management practices for a smart microgrid in Qatar while taking demandside load management into account.This article looked into a university microgrid in Qatar that primarily aimed to get all of its energy from the grid.While diesel generators are categorized as a dispatchable distributed generation with energy storage added to handle solar radiation from the sun and high grid power operating costs in the suggested scenario,wind turbines and solar Photovoltaic(PV)are classified as non-dispatchable distributed generators.The resulting linear math issues are assessed and displayed in MATLAB optimization software using a mixed-integer linear programming(MILP)strategy.According to the simulation results,the suggested energy management strategy reduced the university microgrid’s grid power costs by 38.8%,making it an affordable solution which is somehow greater than the prior case scenario’s 23%savings.The installed solar system capacity’s effects on the economy,society,and finances were also assessed,and it became clear that the best option for the smart microgrid was determined that would be 325 kW of solar PV,25 kW of wind turbine,and 600 kW of diesel generators,respectively.Given the current situation,university administrators are urged to participate in distributed generators and adopt cutting-edge designs for energy storage technologies due to the significant environmental and financial benefits.

Investigating Energy Prosumer Behaviour in Crowd Energy Using an Interactive Model/Diorama

Smart living labs such as the one located in Fribourg(Switzerland) focus on improving wellbeing and furthering knowledge related to building the district of the future on a technical and social level. Therefore, smart living labs represent an experimental platform/space where sustainable production and consumption strategies can be tested in a protected environment. A significant change in the socioeconomic production and consumption sphere can be expected by the rise of the so-called energy prosumer. Accordingly, this article presents an interactive model for the experimental investigation of energy prosumer behavior. In this context, two potential experiments on investment and trade decisions are briefly outlined. Since(behavioral and economic) experiments are usually conducted under controlled conditions in experimental labs involving mainly undergraduate students, the presented interactive model is flexible and mobile, providing the advantage to conduct experiments nearly everywhere involving everyday citizens.

Micro-Grid Planning with Aggregator’s Role in the Renewable Inclusive Prosumer Market

The paper proposes a model for a micro-grid architecture incorporating the role of aggregators and renewable sources on the prosumer side, working together to optimize configurations and operations. The final model takes the form of a mixed-integer linear programming model. This model is solved using the CPLEX solver via GAMS by having a consistent data set.

基于电动汽车充放电的Prosumer单元并网优化研究

随着分布式能源的快速发展,产生了既可以发电又可以用电的家庭单元——Prosumer,大量Prosumer单元接入配电网中会影响配电网能量流通,甚至影响配电网安全运行;为此,考虑电动汽车接入家庭Prosumer单元充放电,提出了一种Prosumer单元并网优化方法。首先基于深圳地区配电网负荷特性,结合电动汽车充放电技术,建立Prosumer单元负荷模型;然后利用改进粒子群优化(modified particle swarm optimization,MPSO)算法,对Prosumer单元并网能量流通进行优化。仿真结果表明,该方法可使分布式能源参与负荷调控,缓解深圳地区配电网峰谷差问题。

基于Prosumer的新媒体时代受众考察

在新媒体时代,受众概念不断演进,从媒体受众(Audience)发展到用户(User),再到专业消费者(Prosumer)。Prosumer也译作产消合一者、生产消费者或产消者,概念的演进反映了受众行为的改变和受众角色的变化。随着媒体的发展,受众的主动性越来越强,由被动接受逐步变为了双向互动,甚至某些平台化媒体的内容几乎全部由用户来生产。

Prosumer Cooperation Behavior:Implications for Prosumer Community Design

The decentralization of the energy sector＇s infrastructure is commonly understood as an important step towards an efficient and sustainable energy system. However, technical measures only have a limited impact on the systems goals. The decentralization of decision-making, the empowerment of households and the occurrence of prosumer communities require more human-centric approaches to meet future challenges; the application of the subsidiarity principle and decentralization seems inevitable but also unclear in its implementation in an energy system, the cooperation behavior of community members gains in importance and the design of prosumer communities must overcome economic problems. This article emphasizes the human-centered challenges which go along with prosumer communities. We apply economic principles to reveal major problems which go with the shifts in energy-related decision-making towards prosumers and integrate behavioral science for prosumer community design. We highlight the importance of energy as an interpersonal construct; a view on energy which will gain in importance within a prosumer communities shaped network.

Political Economy Factors Shaping News Culture of Hyperlocal News Website www.ippodhu.com

In contemporary media ecosystem, media content is not only produced by employees rather it is also produced by its users in the form of curating stories, writing feedback, engaging in online discussions and at the same time disseminating the content through their personal online profiles. Keeping these views in mind, this paper critically examines the political economy of Ippodhu (Tamil Nadu based news website), a hyperlocal news application, in terms of digital labour, audience as participatory commodities and audience as producers, which Alvin Toffler terms as prosumer. Further, this paper explores how social media, analytics, or other analytical tools create value or anti-value for Ippodhu. The qualitative data obtained through in-depth interview reveals that readers/audiences of Ippodhu are commodified in two ways, first they consume the content of the website by spending their time, which will be sold to the advertisers and secondly by creating free content either in the writing stories, uploading photographs or even in the form of comment which will be consumed by other readers/audiences which result in the chain of production of values.

Valuation Model for Adding Energy Resource into Autonomous Energy Cluster

With the availability of distributed generation (DG), clusters that can autonomously manage their energy profile are emerging in the power grid. These autonomous clusters manage their load profiles by orchestrating their energy resources, such as DG, storage, flexible energy consuming appliances, etc. The performance of such an autonomous cluster depends on the composition of its energy resources. In this paper, we study how the performance of a cluster is affected by adding energy resources such as generating units, storage systems or consuming appliances. First, we characterize the energy resources by parameters that describe their relevant properties. Afterwards, we describe a comprehensive set of performance indicators of a cluster that capture the economical, environmental, and social aspects. We present a model that shows how the energy resources influence the performance indicators of the cluster. We have tested our model with a case study, revealing its effectiveness to evaluate the value added by an energy resource to a cluster.

The Crowd Energy Concept

After the Fukushima disaster, European politicians began to reassess the energy strategy for their countries. The focus is now on renewable energy sources and as a result on decentralization. The decentralized generation, storage, and of course the consumption of energy is the central point. Now with the new develop-ments under the roof of energy turnaround the way back from the centralized architecture of our energy system to a more decentralized one is predetermined. Decentralization implies the change in the role of today＇s consumers. They become energy prosumers. This is the basis for the crowd energy concept. In this position paper the crowd energy concept is introduced and necessary research fields are identified.

DC选购原则

消费者在选购DC时，最令人烦恼的问题肯定是如何在令人眼花缭乱的款式中寻找到自己最喜爱的DC。但自己最喜爱的是否适合自己使用呢?只选对的不选贵的，买DC机前最好先问问自己属于哪种类型的玩家。弄清楚自己的实际需要冉决定。

Improved Energy Management Strategy for Prosumer Buildings with Renewable Energy Sources and Battery Energy Storage Systems

The concept of utilizing microgrids(MGs)to convert buildings into prosumers is gaining massive popularity because of its economic and environmental benefits.These pro-sumer buildings consist of renewable energy sources and usually install battery energy storage systems(BESSs)to deal with the uncertain nature of renewable energy sources.However,because of the high capital investment of BESS and the limitation of available energy,there is a need for an effective energy management strategy for prosumer buildings that maximizes the profit of building owner and increases the operating life span of BESS.In this regard,this paper proposes an improved energy management strategy(IEMS)for the prosumer building to minimize the operating cost of MG and degradation factor of BESS.Moreover,to estimate the practical operating life span of BESS,this paper utilizes a non-linear battery degradation model.In addition,a flexible load shifting(FLS)scheme is also developed and integrated into the proposed strategy to further improve its performance.The proposed strategy is tested for the real-time annual data of a grid-tied solar photovoltaic(PV)and BESS-powered AC-DC hybrid MG installed at a commercial building.Moreover,the scenario reduction technique is used to handle the uncertainty associated with generation and load demand.To validate the performance of the proposed strategy,the results of IEMS are compared with the well-established energy management strategies.The simulation results verify that the proposed strategy substantially increases the profit of the building owner and operating life span of BESS.Moreover,FLS enhances the performance of IEMS by further improving the financial profit of MG owner and the life span of BESS,thus making the operation of prosumer building more economical and efficient.

Transactive Energy and Flexibility Provision in Multi-microgrids Using Stackelberg Game

Aggregating demand side flexibility is essential to complementing the inflexible and variable renewable energy supply in achieving low carbon energy systems.Sources of demand side flexibility,e.g.,dispatchable generators,storage,and flexible loads,can be structured in a form of microgrids and collectively provided to utility grids through transactive energy in local energy markets.This paper proposes a framework of local energy markets to manage this transactive energy and facilitate the flexibility provision.The distribution system operator aims to achieve local energy balance by scheduling the operation of multi-microgrids and determining the imbalance prices.Multiple microgrid traders aim to maximize profits for their prosumers through dispatching flexibility sources and participating in localised energy trading.The decision making and interactions between a distribution system operator and multiple microgrid traders are formulated as the Stackelberg game-theoretic problem.Case studies using the IEEE 69-bus distribution system demonstrate the effectiveness of the developed model in terms of facilitating local energy balance and reducing dependency on the utility grids.

Potential and roadmap of CO_(2) emission reduction in urban buildings: Case study of Shenzhen

Buildings play an increasingly important role to determine the trend of CO_(2) emissions in cities.Whether CO_(2) emissions from buildings can be effectively mitigated has great significance for cities to achieve climate governance goals.The study takes Shenzhen,a China's megacity,as an example to examine how the penetration of newly emerging clean technologies and consumer-to-prosumer role transition of buildings will contribute to CO_(2) emission reductions.Based on a Low Emissions Analysis Platform(LEAP)model,the major results indicate that CO_(2) emissions of Shenzhen's building sector could be capped by 2022-2025 and substantially decreased by more than 60%by 2030.Acelerating energy efficiency retroftting of existing buildings and enforcing stricter design standards on new buildings could largely reduce CO_(2) emissions,but still unable to prevent them from growing.The intensification of building energy-saving management and promotion of distributed renewable energy use would bring additional potentials of emission reduction,enabling a peak-reaching and a rapid downward trend of building emissions.To achieve the potentials,close cooperation and synergic efforts between multiple stakeholders are advocated for establishing inteligent energysaving management systems,decarbonizing urban power supply,and popularizing distributed roftop photovoltaic power stations.

A Grid-friendly Neighborhood Energy Trading Mechanism

More customers are tending to install batteries with photovoltaic(PV), so they can better control their electricity bills. In this context, customers may be tempted to go offgrid at a substantial up-front cost, leading electricity companies into a death spiral, thereby raising electricity price further on those remaining on grid. Neighborhood energy markets can promote the sharing of locally generated renewable energy and encourage prosumers to stay on grid with financial incentives. A novel neighborhood energy trading(NET) mechanism is developed using the topology of existing radial distribution network to encourage sustainable energy sharing in neighborhood and encourage prosumers to stay on grid. This mechanism considers loss, congestion management, and voltage regulation, and it is scalable with low computation and communication overhead.An IEEE test system is used to validate the NET mechanism.The simulation shows that the price and flow results are obtained with fast computation speed(within 10 iterations) and with loss reflected, flow limit reinforced, and voltage regulated.This study proves that the economic demand-supply-based pricing mechanism can be applied effectively in distribution networks to help encourage more renewable energy sharing in sustainable neighborhood and avoid energy network death spiral.