- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources
摘要： Smart grid (SG) vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. In this work, we have proposed a residential load management mechanism with the incorporation of energy resources (RESs) i.e., solar energy. For this purpose, a real-time electricity price (RTP), energy demand, user preferences and renewable energy parameters are taken as an inputs and genetic algorithm (GA) has been used to manage and schedule residential load with the objective of cost, user discomfort, and peak-to-average ratio (PAR) reduction. Initially, RTP is used to reduce the energy consumption cost. However, to minimize the cost along with reducing the peaks, a combined pricing model, i.e., RTP with inclining block rate (IBR) has been used which incorporates user preferences and RES to optimally schedule load demand. User comfort and cost reduction are contradictory objectives, and difficult to maximize, simultaneously. Considering this trade-off, a combined pricing scheme is modelled in such a way that users are given priority to achieve their objective as per their requirements. To validate and analyze the performance of the proposed algorithm, we first propose mathematical models of all utilized loads, and then multi-objective optimization problem has been formulated. Furthermore, analytical results regarding the objective function and the associated constraints have also been provided to validate simulation results. Simulation results demonstrate a significant reduction in the energy cost along with the achievement of both grid stability in terms of reduced peak and high comfort.
关键词： inclining block rate,real-time pricing,renewable energy sources,appliances scheduling,demand response,genetic algorithm,demand side management
更新于2025-09-23 15:23:52
-
Smart Lighting Systems as a Demand Response Solution for Future Smart Grids
摘要： Massive deployment of distributed and intermittent renewable energy sources cause instability in the power system because of the mismatch between the power generation and load consumption. In order to solve this problem, smart loads embedded with modern power electronic converters and communication devices are being developed. They are able to communicate with the utility and perform automatic demand response. In this paper, we propose a smart light-emitting diode (LED) driver for lighting. This smart LED driver adjusts its electricity usage in response to the utility without the expense of human visual comfort. To achieve this goal, a new control method is developed and a typical rate of change of LED power is determined through conducting a series of visual assessments with interviewees. An experimental smart LED driver is built to validate the new control method. Experimental report from the visual assessments has confirmed that the proposed control method can significantly reduce the light flickering caused by change of LED power.
关键词： Smart lighting,demand response,renewable energy,smart grid
更新于2025-09-23 15:23:52
-
[IEEE 2018 IEEE PES/IAS PowerAfrica - Cape Town (2018.6.28-2018.6.29)] 2018 IEEE PES/IAS PowerAfrica - Agent Based System for Improved Control and Monitoring of a Solar Driven DC Microgrid
摘要： Control and monitoring processes in the electric field are fundamental aspects in smart grid. Different attributes, systems and mechanisms are required in handling activities from transmission, distribution and consumer side of the electrical network based on advanced technologies. In Tanzania, there still exists manual operations on distribution side and very little on the transmission side. Agent based distributed system has been seen to work successfully which involves the use of artificial intelligence and autonomous actions during the operations and controlling activities. Therefore, in this manner, the generated model based on REPAST simulation tool for solar driven DC microgrid will be achieved to show features of control and monitoring the grid including load shedding technique and demand responses based on pricing. Furthermore, the design of the prototype based on the stated features will be implemented. The advantages and impact of the demonstration can be deployed and used in any community for the application of any renewable energy systems.
关键词： demand response,microgrid,smart grid,Agent based systems
更新于2025-09-23 15:21:21
-
[IEEE 2019 International Topical Meeting on Microwave Photonics (MWP) - Ottawa, ON, Canada (2019.10.7-2019.10.10)] 2019 International Topical Meeting on Microwave Photonics (MWP) - Proposal of Photonic Analog-to-digital Conversion Using Weighted Multiwavelength Pulses and Balanced Photodetector
摘要： Nowadays, enhanced knowledge of the nature of the electricity demand is achieved through the progressively increasing deployment of smart meters and advanced data analysis techniques. One of the major challenges is to exploit this knowledge to support the introduction of strategies to modify the demand according to relevant objectives to be achieved, like users’ participation in demand response programmes. A key point for facing this challenge is to characterize the demand flexibility. In spite of many discussions about the concept of flexibility, the few mathematical definitions of flexibility available do not address the variation in time of the overall demand aggregation. This paper starts from the analysis of time-variable patterns of aggregate residential customers, ending up with suitable definitions of expected flexibility for aggregate demand. These definitions are based on assessing positive and negative pattern variations and are identified from the analysis of the collective behavior of the aggregate users. A set of results is shown for different numbers of aggregate customers, by considering different values of the averaging time step for load pattern representation.
关键词： binomial probability,customers,demand flexibility,Aggregate demand,electrical load,demand response,load variation pattern,maximum likelihood estimation
更新于2025-09-23 15:21:01
-
[IEEE 2019 Compound Semiconductor Week (CSW) - Nara, Japan (2019.5.19-2019.5.23)] 2019 Compound Semiconductor Week (CSW) - 2Gps OFDM Visible Light Communication Using Light-emitting Diodes with Photonic Crystals
摘要： Nowadays, enhanced knowledge of the nature of the electricity demand is achieved through the progressively increasing deployment of smart meters and advanced data analysis techniques. One of the major challenges is to exploit this knowledge to support the introduction of strategies to modify the demand according to relevant objectives to be achieved, like users’ participation in demand response programmes. A key point for facing this challenge is to characterize the demand flexibility. In spite of many discussions about the concept of flexibility, the few mathematical definitions of flexibility available do not address the variation in time of the overall demand aggregation. This paper starts from the analysis of time-variable patterns of aggregate residential customers, ending up with suitable definitions of expected flexibility for aggregate demand. These definitions are based on assessing positive and negative pattern variations and are identified from the analysis of the collective behavior of the aggregate users. A set of results is shown for different numbers of aggregate customers, by considering different values of the averaging time step for load pattern representation.
关键词： demand response,binomial probability,maximum likelihood estimation,customers,demand flexibility,electrical load,Aggregate demand,load variation pattern
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE) - Melacca, Malaysia (2019.11.25-2019.11.27)] 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE) - 3D Printed Waveguide Phase Shifter for Butler Matrix Network
摘要： The smart grid vision has resulted in many demand side innovations such as nonintrusive load monitoring techniques, residential micro-grids, and demand response programs. Many of these techniques need a detailed residential network model for their research, evaluation, and validation. In response to such a need, this paper presents a sequential Monte Carlo (SMC) simulation platform for modeling and simulating low voltage residential networks. This platform targets the simulation of the quasi-steady-state network condition over an extended period such as 24 h. It consists of two main components. The first is a multiphase network model with power flow, harmonic, and motor starting study capabilities. The second is a load/generation behavior model that establishes the operating characteristics of various loads and generators based on time-of-use probability curves. These two components are combined together through an SMC simulation scheme. Four case studies are presented to demonstrate the applications of the proposed platform.
关键词： power quality,network simulation,microgrids,Demand response,low voltage residential networks
更新于2025-09-23 15:19:57
-
[IEEE 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Rome, Italy (2019.6.17-2019.6.20)] 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Sector Metalens for Sharp Focusing of Laser Light
摘要： The use of distributed generation and demand-response (DR) programs is needed for improving business models, namely concerning the remuneration of these resources in the context of smart grids. In this paper, a methodology is proposed in which a virtual power player aggregates several small-sized resources, including consumers participating in DR programs. The global operation costs resulting from the resource scheduling are minimized. After scheduling the resources in several operation scenarios, clustering tools are applied in order to obtain distinct resources’ groups. The remuneration structure that better fits the aggregator goals is then determined. Two clustering algorithms are compared: 1) hierarchical; and 2) fuzzy c-means clustering. The remuneration of small resources and consumers that are aggregated is made considering the maximum tariff in each group. The implemented case study considers 2592 operation scenarios based on a real Portuguese distribution network with 548 distributed generators and 20 310 consumers.
关键词： demand response (DR) programs,Clustering,distributed generation (DG),smart grids
更新于2025-09-19 17:13:59
-
A Demand Response Strategy in High Photovoltaic Penetration Power Systems Considering the Thermal Ramp Rate Limitation
摘要： In high photovoltaic (PV) penetration power systems, thermal units may be unable to cope with the large-scale power imbalance caused by PV reduction due to their ramp rate limitation. This paper formulates a demand response (DR) strategy to compensate for the timing imbalance between load demand and generation while avoiding high scheduling and operational expenses. First, the concept of the equivalent slope (ES) is proposed to measure the ramping speed of the net load curve and accurately quantify the DR aggregate power. Then, a DR strategy is proposed based on the ES and the thermal ramp rate limitation, in which the dynamic factor adjustment (DFA) increases the aggregate power by directly controlling the DR strategies, and the leading adjustment (LA) transfers part of the peak demand to other times when PV generation is abundant. Finally, simulation results verify the validity of the proposed strategy in maintaining the power balance while ensuring the comfort level of consumers.
关键词： ramp rate,high photovoltaic penetration,Demand response strategy
更新于2025-09-16 10:30:52
-
[IEEE 2019 IEEE Milan PowerTech - Milan, Italy (2019.6.23-2019.6.27)] 2019 IEEE Milan PowerTech - optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics
摘要： In this paper a methodology is proposed to calculate the load demand ?exibility that could be activated within the next 24-hours for solving the technical impacts of contingencies that may come up in an unbalanced low voltage distribution networks with high penetration of intermittent DG sources. The methodology is formulated within a Demand Response program environment via load shifting as ?exibility enabler mechanism. To achieve that, a non-linear optimisation problem is formulated based on an unbalanced optimal power ?ow, which allows the determination of the load ?exibility that each Demand Response customer could provide at the request of the Distribution System Operator. The demand as well as weather conditions are forecasted for the day ahead. The optimisation problem is solved in a sequence fashion, within a daily framework, splitting the whole problem in optimisation blocks. In each block, the ?exible load demand is obtained and the load demand forecasting its updated for the upcoming blocks based on the changes in the scheduled load demand. The methodology is applied to a real distribution network with the load data received from the smart metering infrastructure. The results obtained show the strength of the methodology in solving the technical problems of the network under high unbalanced operation.
关键词： Photovoltaics,Demand Response,Load Flexibility,Distribution Networks,Optimal Power Flow
更新于2025-09-12 10:27:22
-
[IEEE 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Waikoloa Village, HI (2018.6.10-2018.6.15)] 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Optimal Use of Distributed Resources to Control Energy Variances in Microgrids
摘要： This paper presents the optimization of distributed energy resources in a community microgrid. An optimal power flow is used to determine the optimal allocation of resources using an evolutionary programming method, achieving the lowest cost of supplying the demand while accounting for physical and operational constraints. The energy variances were managed and controlled within the microgrid. Different scenarios of high integration of distributed resources were studied using the algorithm. The utility could be used to supply a constant energy block or for backup power. The algorithm was successfully used to allocate resources while achieving a high load factor value.
关键词： Demand Response,Distributed Energy Resources,Optimal Power Flow,Microgrids,Photovoltaic Systems,Battery Storage Systems
更新于2025-09-11 14:15:04