Share your thoughts with other customers. Write a product review. Most helpful customer reviews on Amazon. Vittal, V. Wind energy, as one of the alternative energy resources, has recently received a lot of attention by academicians, professionals and industry. The present volume integrates the wind energy and electric grid, by short presentations of various related topics of dynamic models and performance of wind generators, power converters, and controllers.
The book is of interest to engineers and researchers in wind energy and graduate students working in renewable energy. It is a welcome addition to the host of books on wind energy such as [1,2]. References  Munteanu, I. Go to Amazon. Back to top. Get to Know Us. English Choose a language for shopping.
Vijay Vittal, Raja Ayyanar Auth. Grid Integration and Dynamic Impact of Wind Energy
Audible Download Audio Books. DPReview Digital Photography. Shopbop Designer Fashion Brands. There is need of a short term balancing market supported by retail transactive energy marketplace which is enabled by a distributed intelligent systems those facilitate real-time valuation of flexible services at the edge of the grid and federated control. How transactive energy markets can enable whole system optimization? What is the drive, value and business case such as agile renewable integrations, Totex optimization, Carbon footprint reduction etc.
PoV will also focus on the role of cutting edge technologies such as Artificial Intelligence, Big data analytics, IoT and Blockchain to establish transactive energy markets, promoting optimization of renewables and DERs on grid. Other aspects such as overall policy and regulatory vision-and-objective, roles and responsibilities system operators, aggregator etc. Integration of distributed energy resources DER such as photovoltaics, electric vehicles EVs and battery energy storage systems BESS is expected to rapidly increase in distribution systems in India.
These grid edge resources can have adverse impacts on the grid and can provide additional revenue streams as well. To mitigate these impacts distribution planning and analysis is required. So this paper presents a framework which can be used to complete all steps involved in distribution planning and analysis. This framework uses data in the same format as is readily available with Indian utilities and processes it to generate detailed feeder models and loading profiles.
This framework already includes multiple DER use cases such as peak shaving for BESS and EV demand modelling and can be easily extended to simulate a number of additional use cases. All of these use cases can be simulated in parallel for multi-year time series simulations using an integrated command line interface.
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A suit of grid readiness metrics are then evaluated for each simulation to determine required network upgrades and associated costs. Electric vehicles EVs and distributed solar are poised to grow substantially in India in the coming years following ambitious Government of India targets. The localized impact of these changes, both in terms of infrastructure investments and demand patterns, are not well understood, nor are tools for this type of analysis readily available.
This paper describes the development of a framework that can analyze network readiness in terms of feeder impacts for distributed energy resources DERs including growing EV penetration, and the potential solutions introduced by utility-scale battery energy storage systems BESSs. The building blocks of the feeder analysis require multiple data sets to be compiled into a usable network model. The work is driven by feeder head and distribution transformer DT loading data along with all the technical specifications and schematics of distribution feeders. These measured datasets are conditioned to remove any afflictions, and the cleaned load profiles are used to perform multi-year quasi-static time-series power flow analyses on detailed three-phase feeder models.
Finally, BESSs are evaluated for their cost-effectiveness in the framework through an initial screening that includes the benefits of grid service applications to mitigate present and future overloading scenarios.
The outcomes from this framework are expected to help utilities gauge the readiness of their distribution grid for integrating an increasing number of EVs as well as load growth during a projected multi-year time horizon, where BESSs can contribute in making the grid more reliable. Wind power plants WPP are intermittent source of energy unlike conventional power plants, it is difficult to firmly dispatches them. Modern grid codes requires the wind power plants to be dispatched like traditional power plants, for this reason wind farm operator have to rely on prediction for short term wind power to schedule wind farm.
Wind farm operators submit the bids in day ahead market based on forecasted wind power while updated wind forecast is used for hedging the bids in the electrical market. Hereby, the accuracy of the prediction system has economical and technical impact on the operation of grid with high RES penetration.
A well-established operating strategy min-max method is used to control the operation of the BESS connected to the wind farm. The impact of accuracy of the different method of wind forecasting on the reliability of the system is studied in this paper by evaluating reliability indices like energy served ES , energy not served ENS and energy not utilised ENU.
Fueled by Paris Agreement commitments, the Government of India has set an ambitious target of achieving GW of renewable energy capacity by These include GW of solar capacity addition, 60 GW of wind power capacity. Renewables being inherently intermittent sources of Power Generation, due to their dependence on weather conditions, affects the stability of grid system.
Integrating such amount of an intermittent source with present-day grid, it becomes very essential to incorporate the techniques which would be helpful to maintain reliability of the grid.
Ancillary Services are the services necessary to support the power system operation in maintaining power quality, reliability and security of the grid. The ancillary services current available in India, are provided by mainly coal based power plants. The POSOCO is discussing hydro as ancillary services, however no hydro power plants are providing ancillary services as on date.
PSH are unique in operation. It operates as generator as well as load. Daily load curve of India has lot of peaks and valleys during a day. Though most of the states have enough generation to meet the load requirement, the variations in the load during the day are not predictable. The sudden load variations during the day makes the life of system operator miserable.
Further, the stringent conditions of regional Deviation Settlement Mechanism has also increased complexity and financial burden on the states.
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To tackle such challenges SLDCs requires fast responding storage devices under their command and control. Majority of power share is handled by SLDCs. India has a large potential of PSH about MW specifically concentrated in the western ghat region in Maharashtra and Gujrat states, where demand of both states is also very high. However, of the MW potential only MW is harnessed till date and that to some of the PSH are not operating in Pumped mode due to various technical and commercial reasons.
Development of PSH is not upto the mark due to various reasons such as No standard methodology to access the economic viability of PSH project, No regulatory framework to compensate the PSH for providing ancillary services, No focused efforts by appropriate authorities to promote development of PSH by addressing the technical and environmental issues in development of PSH.
As regulatory framework is not conducive, private investment is not being attracted for development of PSH besides having huge potential. If conducive regulatory environment is created, PSH could be game changer as an ideal Source for ancillary services. This Paper deals with the Technical, Commercial and Regulatory aspects of PSH towards its unique offerings in ancillary services market. In line with the global growth of renewable energy RE , India is also rapidly integrating wind and solar photovoltaic power to the national grid and has a current cumulative installed capacity of around 60 GW and a target of GW GW of solar PV and 60 GW of wind by the year However, the variability and uncertainty associated with RE generation significantly impact power system operation, particularly, under high RE penetration.
Therefore, for ensuring secure and stable grid operation under variable RE penetration, several measures for preserving the steady-state and dynamic stability of the grid have been imposed on the RE plants through grid code regulations, such as the Indian Electricity Grid Code IEGC applicable in India. Some of the critical provisions present in grid code regulations for RE power plants include frequency regulation, voltage ride-through capability, active power regulations, and power factor regulation.
Despite the presence of these regulations, the steady-state and dynamic operations of the plants are generally not monitored on a real-time or near real-time basis. The plants are also not put through strict compliance checks of all the prescribed criteria under operating conditions.
This limitation, in turn, inherently poses a significant concern about the steady-state and dynamic stability of the grid during any contingency. This rate is highly inadequate to capture the system dynamics essential for analysing the dynamic performance of RE plants, studying contingency scenarios, and taking swift control actions. Therefore, in this backdrop, this paper attempts to bridge the gap by proposing a strategy to monitor the continuous operations of the RE generating stations using the network of Phasor Measurement Units PMUs located at various strategic and critical buses in the grid.
The proposed performance monitoring strategy will enable the capture of the time-stamped dynamics at a much faster rate essential for analysing the disturbance and post-disturbance scenarios. For aiding this objective, several instances of optimal placement of PMUs have been developed by using binary particle swarm optimisation for monitoring the operations of the RE plants in the grid effectively.
Blockchain is a decentralized ledger technology. When applied to the energy sector, it will enable people to trade energy among themselves. It is a secure, continuously growing list of records. It is constructed as a decentralised database that is distributed and managed by peers, rather than by a central server or authority. This technology is enabling a new world of decentralised communication and coordination, by building the infrastructure to allow peers to safely and quickly connect with each other without a centralised intermediary.
Cryptography ensures security and data integrity, while privacy remains intact. Renewable Energy is also decentralized and distributed energy source. Currently, efforts are made to integrate Renewable Energy in the grid for centralized control of Renewable Energy. This is because there is no technology available to manage and control distributed and decentralized Renewable Energy.
Wind Energy Grid Integration Research | Wind | NREL
Block Chain may provide tools to manage it locally. This may be possible for peer to peer trading of electricity produced from Renewable Energy without using any middleman. The general idea behind blockchain technology is to allow decentralisation and build security.