scholarly journals An RTDS-Based Testbed for Investigating the Impacts of Transmission-Level Disturbances on Solar PV Operation

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3867
Author(s):  
Manisha Maharjan ◽  
Almir Ekic ◽  
Bennett Strombeck ◽  
Di Wu
Keyword(s):  
Real Time ◽  
Distribution Systems ◽  
Transient Stability ◽  
New Technologies ◽  
Solar Pv ◽  
Renewable Energy Resources ◽  
Grid Planning ◽  
The Impact ◽  
Solar Penetration ◽  
Transmission Level

The increasing penetration of renewable energy resources such as solar and wind via power electronic inverters is challenging grid dynamics, as well as grid planning, operation, and protection. Recently, the North American Electric Reliability Corporation (NERC) has reported a series of similar events of the unintended loss of solar generation in Southern California over a large geographic area following the transmission-level disturbances. These events highlight the importance of understanding the characteristics of the transmission-side disturbances propagating into the distribution systems and their impacts on the operation of inverter-based resources. In this paper, a real-time electromagnetic simulation testbed is constructed for real-time electromagnetic simulations to generate realistic transmission-level disturbances and investigate their impacts on the solar PV operation under different fault types and locations, solar penetration levels, and loading levels. Through the simulation analysis and grid strength assessment, it is found that the grid strength at points of integration (POIs) of solar PVs significantly affects the transient stability of solar generators. Particularly, undesirable transient stability events are more likely to occur at the weak POIs following the transmission-level disturbances. Moreover, undesirable transient stability events become severer when the transmission-level disturbance is closer to the weak POIs or the disturbances become more serious. Additionally, the impact of the transmission-level disturbances on the solar PVs at the weak POIs exacerbate with the increasing solar penetration levels and loading levels. Thus, it is important to study and develop new technologies for grid planning, operation, and protection in weak grid conditions to address the emerging issues of integrating the high penetration of solar PVs and other IBRs.

scholarly journals THE IMPACT OF BIG DATA TECHNOLOGIES ON COMPETITIVE ADVANTAGE OF COMPANIES

2017 ◽  
pp. 255 ◽  
Author(s):  
Jelena Lukić
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Real Time ◽  
New Technologies ◽  
Knowledge And Skills ◽  
Big Data Technologies ◽  
The Impact

The emergence of large quantity of data, from various sources, available in real-time, known as Big Data, have stimulated development of new technologies, techniques, tools, knowledge and skills which allows to work with that data. Big Data represent not only the factor from environment that confronts the companies with avalanche of data, but also very imporant resource which provide opportunities for companies to make value on the basis of collected data. Characteristics and possibilities which Big Data technologies offer have positioned them as a valuable factor for gaining and sustaining the competitive advantage in companies. The aim of this paper is to examine how Big Data technologies impact on competitive advantage of the companies that use them.

The Impact of Big Data Analytics and Challenges to Cyber Security

2018 ◽  
pp. 300-314 ◽  
Author(s):  
Anandakumar Haldorai ◽  
Arulmurugan Ramu
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Distribution Systems ◽  
New Technologies ◽  
Big Data Analytics ◽  
Big Data Technologies ◽  
Customer Analytics ◽  
External Sources ◽  
Business Optimization ◽  
The Impact

In order to scrutinize or evaluate an extremely high quantity of an ever-present and diversified nature of data, new technologies are developed. With the application of these technologies, called big data technologies, to the constantly developing various internal as well as external sources of data, concealed correlations between data can be identified, and promising strategies can be developed, which is necessary for economic growth and new innovations. This chapter deals with the analysis of the real-time uses of big data to both individual persons and the society too, while concentrating on seven important areas of key usage: big data for business optimization and customer analytics, big data and healthcare, big data and science, big data and finance, big data as enablers of openness and efficiency in government, big data and the emerging energy distribution systems, and big data security.

scholarly journals Study of Renewable Energy Penetration on a Benchmark Generation and Transmission System

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 169
Author(s):  
Oluwaseun M. Akeyo ◽  
Aron Patrick ◽  
Dan M. Ionel
Keyword(s):  
Transmission System ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System ◽  
Bus Voltage ◽  
Pv Penetration ◽  
Traditional Approaches ◽  
Generation Dispatch ◽  
The Impact ◽  
Solar Penetration

Significant changes in conventional generator operation and transmission system planning will be required to accommodate increasing solar photovoltaic (PV) penetration. There is a limit to the maximum amount of solar that can be connected in a service area without the need for significant upgrades to the existing generation and transmission infrastructure. This study proposes a framework for analyzing the impact of increasing solar penetration on generation and transmission networks while considering the responses of conventional generators to changes in solar PV output power. Contrary to traditional approaches in which it is assumed that generation can always match demand, this framework employs a detailed minute-to-minute (M-M) dispatch model capable of capturing the impact of renewable intermittency and estimating the over- and under-generation dispatch scenarios due to solar volatility and surplus generation. The impact of high solar PV penetration was evaluated on a modified benchmark model, which includes generators with defined characteristics including unit ramp rates, heat rates, operation cost curves, and minimum and maximum generation limits. The PV hosting capacity, defined as the maximum solar PV penetration the system can support without substantial generation imbalances, transmission bus voltage, or thermal violation was estimated for the example transmission circuit considered. The results of the study indicate that increasing solar penetration may lead to a substantial increase in generation imbalances and the maximum solar PV system that can be connected to a transmission circuit varies based on the point of interconnection, load, and the connected generator specifications and responses.

scholarly journals A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2417 ◽  
Author(s):  
Hamza Abunima ◽  
Jiashen Teh ◽  
Ching-Ming Lai ◽  
Hussein Jabir
Keyword(s):  
Systematic Review ◽  
Power Systems ◽  
New Technologies ◽  
Reliability Evaluation ◽  
Renewable Energy Resources ◽  
Research Directions ◽  
Practical Applications ◽  
Wind Power Integration ◽  
New Research ◽  
The Impact

Power systems has been subjected to significant upgrades in terms of structure and capacity. Reliability evaluation of composite power systems has surfaced as an essential step in operation and planning stages of the modern power system. It is an effective tool to investigate the ability of power systems to supply customers with reliable power service. The purpose of this review is to enhance the knowledge of reliability studies conducted on composite power systems by providing a critical and systematic review. This work investigates peer-reviewed articles published between 2007 and 2017 in three reliable databases. The findings reveal that the reliability of composite power systems has received considerable attention over the last few years. Secondly, investigation studies demonstrated a crucial role in verifying the impact of adopting new technologies. Third, studies on this topic have been intensively conducted in Asia, which highlights the promising sectors in these regions. However, researchers have generally focused on developing several aspects (e.g., evaluation speed and wind power integration) at the expense of others (e.g., realistic studies and other renewable energy resources). The lack of practical applications is evident in the surveyed publications. These findings imply a potential incoordination between the needs of the real applications and researchers’ tendencies. Future reliability evaluation scholars are advised to consider the findings of this systematic review including concentrating on insufficiently covered topics and enhance the coordination among the efforts devoted in this area.

scholarly journals Sustainable Investment—A Solution to Reduce Environmental Footprint

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3104
Author(s):  
Kęstutis Biekša ◽  
Aurelija Zonienė ◽  
Violeta Valiulė
Keyword(s):  
New Technologies ◽  
Natural Capital ◽  
Value Added ◽  
Economic Indicators ◽  
Electricity Production ◽  
Solar Pv ◽  
Environmental Footprint ◽  
Sustainable Solutions ◽  
Sustainable Investment ◽  
The Impact

The environmental footprint (EF) indicator has emerged as a tool to measure human demand for productive land and water and it is used for the evaluation of the impact of products or economic activities on the environment. There are many indicators that are used in the decision making for the investment in the power sector, however, predominant are the economic indicators which underestimate the depreciation of natural capital (environment) and the value added generated by the public services. Many research studies have been carried out in an attempt to demonstrate the versatility of the EF by extending its applicability not only to environmental assessment, but also to use it, among other economic indicators, when assessing sustainable investment. Sustainable investment (SI) combines fundamental analysis and engagement with an evaluation of environmental, social and corporate governance (ESG) factors. The purpose of this article is, upon evaluating the EF, to identify the opportunities for the EF reduction through sustainable investment in the electricity production sector in EU countries. Environmental footprint analysis has been performed by using sustainable process index program SPIonExcel (SPI), which is one of the methods in the EF family. SPI is a useful tool for assessing ecological problems and finding sustainable solutions in the life cycle of energy production process. This research has revealed that the function of the footprint reduction depends directly on investments in renewable energy source (RES) technologies, but not all investments can be sustainable. Countries mainly invest in the development of wind energy and solar PV technologies and gradually reduce their inland production capacities from fossil fuel. Although SI in RES technologies reduces the EF, this is not enough to reduce it substantially because there are limitations for installing new power capacities. Consequently, countries tend to invest in the development of electricity networks. The conclusion can be drawn as follows: the reduction of the EF of electricity could be achieved by developing RES technologies since the major part of electricity is produced by using non-renewable resources. It is essential to develop new technologies as soon as possible in order to reduce EF as much as possible, and this can only be achieved through systematic sustainable investment.

scholarly journals Policy Assistance for Adoption of Residential Solar PV in India: A Stakeholder-centric Approach for Welfare Optimization

2021 ◽  
Author(s):  
Vivek Mohan ◽  
Harish Ram D S ◽  
Ganesh Patil ◽  
Jisma M ◽  
Rohith C Unni ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Policy Framework ◽  
Solar Pv ◽  
Solar Panels ◽  
Trade Offs ◽  
Decision Variables ◽  
Optimal Feed ◽  
Residential Distribution ◽  
The Impact ◽  
Rooftop Solar

Abstract Background Domestic solar PV installations in India are yet to become a valuable proposition for both the prosumers and utility because of the deficiencies in the formulation of the policy parameters. This paper presents a comprehensive analysis of the consumer-centric business model for rooftop solar PV installations in India. We explore areas where potential policy interventions may be introduced to improve collective stakeholder benefits and incentivize more domestic consumers to install rooftop solar panels in their premises. We propose a policy framework that seeks optimal Feed-in Tariff (FiT) rates, PV capacities and Average Billing Rates (ABRs) towards maximizing stakeholder benefits. The stakeholders considered are the consumers/prosumers and the utility. Results Case studies with three residential prosumers of different demand and generation profiles (extracted from data provided by Indian utilities) are presented. A multi-objective problem is formulated with the FiT, generation capacity (as a function of demand) and ABR as decision variables, exploring the various welfare trade-offs. The pareto-optimal front is identified for prosumer and utility benefits and suitable points with reasonable tradeoff are selected based on sensitivity analysis of the impact of the decision variables on collective welfare. Conclusions The paper provides a workflow to fix tariff, FiT and local PV capacities in active residential distribution systems. The suitability of prevailing tariff and FiT rates of three Indian utilities namely, MSEDCL, TATA POWER (Delhi) and TANGEDCO are studied, and their impact on prosumer savings and utility profits is brought out. The paper recommends optimal installation capacities for prosumers based on their load demand so as to encourage the adoption of roof-top solar without affecting collective benefits. This provides policymakers and prosumers an effective decision-making tool.

scholarly journals VOLTAGE STABILITY INVESTIGATION OF GRID CONNECTED WIND FARM

2009 ◽  
Vol 12 (8) ◽  
pp. 38-46
Author(s):  
Chuong Trong Trinh
Keyword(s):  
Wind Power ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Wind Farm ◽  
Reactive Power ◽  
Stability Limit ◽  
Theoretical Expression ◽  
Renewable Energy Resources ◽  
Point Of Common Coupling ◽  
The Impact

At present, it is very common to find renewable energy resources, especially wind power, connected to distribution systems. The impact of this wind power on voltage distribution levels has been addressed in the literature. The majority of this works deals with the determination of the maximum active and reactive power that is possible to be connected on a system load bus, until the voltage at that bus reaches the voltage collapse point. It is done by the traditional methods of P-V curves reported in many references. Theoretical expression of maximum power limited by voltage stability transfer through a grid is formulated using an exact representation of distribution line with ABCD parameters. The expression is used to plot PV curves at various power factors of a radial system. Limited values of reactive power can be obtained. This paper presents a method to study the relationship between the active power and voltage (PV) at the load bus to identify the voltage stability limit. It is a foundation to build a permitted working operation region in complying with the voltage stability limit at the point of common coupling (PCC) connected wind farm.

scholarly journals Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3117 ◽  
Author(s):  
Gerardo Osório ◽  
Miadreza Shafie-khah ◽  
Pedro Coimbra ◽  
Mohamed Lotfi ◽  
João Catalão
Keyword(s):  
Renewable Energy ◽  
Distribution Systems ◽  
Distributed Storage ◽  
Critical Role ◽  
Energy Resources ◽  
Pollutant Emissions ◽  
Renewable Energy Resources ◽  
Load Profile ◽  
The Impact ◽  
Ev Charging

Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93–96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed.

scholarly journals Application of State Estimation in Distribution Systems with Embedded Microgrids

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7933
Author(s):  
Nikolaos M. Manousakis ◽  
George N. Korres
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Operation Mode ◽  
Estimation Algorithm ◽  
Distribution Networks ◽  
Least Square ◽  
Islanded Operation ◽  
The Impact

In this paper, a weighted least square (WLS) state estimation algorithm with equality constraints is proposed for smart distribution networks embedded with microgrids. Since only a limited number of real-time measurements are available at the primary or secondary substations and distributed generation sites, load estimates at unmeasured buses remote from the substations are needed to execute state estimation. The load information can be obtained by forecasted and historical data or smart real-time meters. The proposed algorithms can be applied in either grid-connected or islanded operation mode and can efficiently identify breaker status errors at the main substations and feeders, where sufficient measurement redundancy exists. The impact of the accuracy of real and pseudo-measurements on the estimated bus voltages is tested with a 55-bus distribution network including distributed generation.

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