Research on Operation Characteristics of Distributed PV based on Measured Data
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With the increasing penetration of distributed photovoltaic(PV), the fluctuation of high-permeability PV will have a series of impacts on the power grid. The analysis of power quality characteristics at the voltage levels of PV low-voltage grid-connected point (380V) and PV concentrated grid-connected point (10kV) is the basis for the study of PV grid-connected related problems. First, the principle of distributed PV power generation, the principle and structure of grid-connected system, and the influence of grid-connected distributed PV power generation on power grid system are analyzed. Then, based on the measured data of single household distributed PV power generation, the output and operation characteristics of distributed PV power generation are studied. At last, combined with the measured data of PV power generation grid, the multi-index power quality problem of PV power generation grid is analyzed theoretically and experimentally.Keywords:
Distributed power
Stand-alone power system
The distributed generation technology is at the stage of limited application now,confronting restrains from the economic efficiency,business modes and policy environments,and thus to understand these restraints and adopt effective countermeasures is a key issue for its development in a large scale.Summarizing the disadvantages of centralized power supply and the advantages of distributed power supply,and classifying the research subjects related to the distributed generation,this paper makes an overview on the various impacts from the distributed resource integrating into power grids,and its main related research fields,pointing out that how to coordinate the distributed resources and network,or to coordinate microgrid and network is an important issue to be studied and resolved in near future,and the coordination of the distributed resources and network is the basis for the application of distributed generation technology while the coordination of microgrid and network is one of the supports for the construction of smart distributed network.
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Maximum power point tracking (MPPT) is a technique that charge controllers use for wind turbines and PV solar systems to maximize power output. PV solar systems exist in several different configurations. The most basic version sends power from collector panels directly to the DC-AC inverter and from there directly to the electrical grid. A second version, called a hybrid inverter, might split the power at the inverter, where a percentage of the power goes to the grid and the remainder goes to a battery bank. The third version is not connected at all to the grid but employs a dedicated PV inverter that features the MPPT. In this configuration, power flows directly to a battery bank.
Power optimizer
Grid-tie inverter
Solar micro-inverter
Maximum power principle
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Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs, owing to variability in generation and demand. In this article, a distributed scheme is proposed that enables a DER in a network to arrive at viable power reference commands that satisfies the DERs local constraints on its generation and loads it has to service, while, the aggregated behavior of multiple DERs in the network and their respective loads meet the ancillary services demanded by the grid. The Net-load Management system for a single unit is referred to as the Local Inverter System (LIS) in this article . A distinguishing feature of the proposed consensus based solution is the distributed finite time termination of the algorithm that allows each LIS unit in the network to determine power reference commands in the presence of communication delays in a distributed manner. The proposed scheme allows prioritization of Renewable Energy Sources (RES) in the network and also enables auto-adjustment of contributions from LIS units with lower priority resources (non-RES). The methods are validated using hardware-in-the-loop simulations with Raspberry PI devices as distributed control units, implementing the proposed distributed algorithm and responsible for determining and dispatching realtime power reference commands to simulated power electronics interface emulating LIS units for demand response.
Distributed power
Demand Response
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Distributed energy as an important part of the national distribution power grid aspect, which in addition to its grid technologies, power quality, harmonic control, and network protection, and many other requirements, but it also the need to achieve the accurate measurement of the distributed power generation. Because of distributed power generation has rapid flow switching, dynamic load changes and other reasons; it has brought the new challenge to the current metering technology on the distributed power generation capacity. This article starts from the impact of distributed power generation on measurement technology and analyzes the current situation of the photovoltaic power generation metering and its problems and discusses the new technology of the distributed power energy measurement from the impact of distributed generation on measurement technology.
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Metering mode
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Distributed generation technology is a new way of power generation and energy utilization, which has broad prospects for development. After Distributed Generation access to Distribution network near the load, the load distribution will changed.In this paper, discuss the different access location that distributed generation access to the distributed network has different influence to voltage and loss. At the same time, Combination of theory and practical example simulation to description of distributed power generation how to influence the distribution network voltage and network losses. Finally, it’s a brief introduction to the reactive power control strategy of distributed power generation systems.
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To satisfy the demand of the rapid economic development in China,Vigorously developing Distributed generation( DG) technique based on existing central power stations and grids will become an inevitable trend for the power system development in the future. But with the number of distributed generations increasing the distribution network which distributed generation integrated to will face more and more uncertainties. The paper studies on the issues about distributed generation based on the achievements worldwide. In the planning of distributed generation,the study is executed on the setting of distributed generation. First of all introduced the concept of distributed generation technologies,and systematic analysis of the impact of distributed power access after distribution network in the planning and operation may bring;The establishment of a distribution network in order to minimize loss of the objective function of the network economy model,application of genetic algorithms for distributed power to optimize the location and capacity,for each location and capacity of distributed power generated during individual genetic program,and consider the impact of distributed power for power flow and line load capacity;Finally,the IEEE33 system shows the proposed method can get a more reasonable position and capacity of distributed power access program.
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The main objective for a grid-connected photovoltaic (PV) inverter is to feed the harvested energy from PV panels to the grid with high efficiency and high electrical power quality. In this paper, an improved maximum power point tracking method applied for a quasi-Z-source PV inverter is proposed to track the maximum power of the PV power system. Furthermore, the DC-link stable voltage control and AC-side power control of the entire system are designed. The simulated results illustrate the validity and correctness of the proposed approach, and an efficient method for PV power generation.
Power optimizer
Maximum power principle
Solar micro-inverter
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Maximum power principle
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Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs, owing to variability in generation and demand. In this article, a distributed scheme is proposed that enables a DER in a network to arrive at viable power reference commands that satisfies the DERs local constraints on its generation and loads it has to service, while, the aggregated behavior of multiple DERs in the network and their respective loads meet the ancillary services demanded by the grid. The Net-load Management system for a single unit is referred to as the Local Inverter System (LIS) in this article . A distinguishing feature of the proposed consensus based solution is the distributed finite time termination of the algorithm that allows each LIS unit in the network to determine power reference commands in the presence of communication delays in a distributed manner. The proposed scheme allows prioritization of Renewable Energy Sources (RES) in the network and also enables auto-adjustment of contributions from LIS units with lower priority resources (non-RES). The methods are validated using hardware-in-the-loop simulations with Raspberry PI devices as distributed control units, implementing the proposed distributed algorithm and responsible for determining and dispatching realtime power reference commands to simulated power electronics interface emulating LIS units for demand response.
Distributed power
Demand Response
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Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs, owing to variability in generation and demand. In this article, a distributed scheme is proposed that enables a DER in a network to arrive at viable power reference commands that satisfies the DERs local constraints on its generation and loads it has to service, while, the aggregated behavior of multiple DERs in the network and their respective loads meet the ancillary services demanded by the grid. The Net-load Management system for a single unit is referred to as the Local Inverter System (LIS) in this article. A distinguishing feature of the proposed consensus based solution is the distributed finite time termination of the algorithm that allows each LIS unit in the network to determine power reference commands in the presence of communication delays in a distributed manner. The proposed scheme allows prioritization of Renewable Energy Sources (RES) in the network and also enables auto-adjustment of contributions from LIS units with lower priority resources (non-RES). The methods are validated using hardware-in-the-loop simulations with Raspberry PI devices as distributed control units, implementing the proposed distributed algorithm and responsible for determining and dispatching real-time power reference commands to simulated power electronics interface emulating LIS units for demand response.
Distributed power
Demand Response
Distributed management
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