Application of Mlp to Analyse Technical and Economic Feasibility Study of Renewable Energy Resources in Virtual Power Plants for Rural India

2019 ◽  
Author(s):  
Sampath Kumar V ◽  
Jagdish Prasad ◽  
Ravi Samikannu
Keyword(s):  
Renewable Energy ◽  
Feasibility Study ◽  
Power Plants ◽  
Economic Feasibility ◽  
Energy Resources ◽  
Rural India ◽  
Renewable Energy Resources ◽  
Virtual Power ◽  
Virtual Power Plants

scholarly journals Challenges for the Large-Scale Integration of Distributed Renewable Energy Resources in the Next Generation Virtual Power Plants

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 20
Author(s):  
Adrian Gligor ◽  
Piotr Cofta ◽  
Tomasz Marciniak ◽  
Cristian-Dragoș Dumitru
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Distribution Systems ◽  
Service Providers ◽  
Ancillary Services ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Virtual Power ◽  
Power Sources ◽  
Virtual Power Plants

The proper power distribution systems operation is conditioned by its response to the consumers’ energy demand. This is achieved by using predictable power sources supplemented by ancillary services. With the penetration of different alternative power sources especially the renewable ones, the grid increasingly becomes an active distribution network. In this context, the stability provided by ancillary services becomes increasingly important. However, providers of ancillary services are interested to benefit from the shift towards renewable energy. This leads to a complex scenario regarding the management of such service providers, specifically virtual power plants. In this regard, the aim of the paper was to investigate the strategies for improving the performance of virtual power plants by increasing the number of distributed renewable energy resources.

scholarly journals Constructing A Multi-Microgrid with the Inclusion of Renewable Energy in Oman's Rural Power System

2018 ◽  
Vol 13 (1) ◽  
pp. 61 ◽  
Author(s):  
Nasser Hosseinzadeh ◽  
A. Al Shereiqi ◽  
M. Albadi ◽  
Amer Al-Hinai
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Rural Area ◽  
Feasibility Study ◽  
Software Package ◽  
Power Flow ◽  
Power Plants ◽  
Energy Resources ◽  
Sultanate Of Oman ◽  
Renewable Energy Resources

 This paper investigates the possibility of constructing multi-microgrids by interlinking the rural area systems in the Al Wusta governorate of the Sultanate of Oman, which are currently being supplied by diesel generators. It is proposed to enhance the rural system under study by switching off small diesel stations and replacing them with wind turbines. The microgrids formed in this way are then interlinked together to create multi-microgrids. The paper studies the interlinked multi-microgrids under different scenarios; in terms of voltage profiles and power flow using the ETAP software package. This study contributes to the feasibility study of retiring some diesel power plants and using renewable energy resources in rural Oman.

scholarly journals Primary Frequency Response Improvement in Interconnected Power Systems Using Electric Vehicle Virtual Power Plants

2020 ◽  
Vol 11 (2) ◽  
pp. 40 ◽  
Author(s):  
Hassan Haes Alhelou ◽  
Pierluigi Siano ◽  
Massimo Tipaldi ◽  
Raffaele Iervolino ◽  
Feras Mahfoud
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Frequency Response ◽  
Electric Vehicles ◽  
Power Plants ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Virtual Power ◽  
Primary Frequency ◽  
Primary Reserve

The smart grid concept enables demand-side management, including electric vehicles (EVs). Thus way, some ancillary services can be provided in order to improve the power system stability, reliability, and security. The high penetration level of renewable energy resources causes some problems to independent system operators, such as lack of primary reserve and active power balance problems. Nowadays, many countries are encouraging the use of EVs which provide a good chance to utilize them as a virtual power plant (VPP) in order to contribute to frequency event. This paper proposes a new control method to use EV as VPP for providing primary reserve in smart grids. The primary frequency reserve helps the power system operator to intercept the frequency decline and to improve the frequency response of the whole system. The proposed method calculates the electric vehicles’ primary reserve based on EVs’ information, such as the state of charge (SOC), the arriving time and the vehicle’s departure time. The effectiveness of the proposed scheme is verified by several simulation scenarios on a real-world modern power system with different generating units, such as conventional power plants, renewable energy resources, and electric vehicles.

scholarly journals A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2420 ◽  
Author(s):  
Haiteng Han ◽  
Hantao Cui ◽  
Shan Gao ◽  
Qingxin Shi ◽  
Anjie Fan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power System ◽  
Electricity Market ◽  
Power Plants ◽  
Level Energy ◽  
Renewable Energy Resources ◽  
Virtual Power ◽  
Virtual Power Plants ◽  
Grid Level

More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method.

scholarly journals Potential utilization of renewable energy resources for electricity generation in Bosnia and Herzegovina

2005 ◽  
Vol 9 (3) ◽  
pp. 15-23 ◽  
Author(s):  
Fajik Begic ◽  
Anes Kazagic
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Bosnia And Herzegovina ◽  
Electricity Market ◽  
Renewable Resources ◽  
Electricity Generation ◽  
Power Plants ◽  
Energy Resources ◽  
Energy Utilization ◽  
Renewable Energy Resources

Along with the current processes of restructuring of Energy power system of Bosnia and Herzegovina, liberalization of the electricity market, and modernization of the existing power plants, Bosnia and Herzegovina must turn to the utilization of renewable resources in reason able dynamics as well. Respecting this policy, the initial Valuation of the potential of renewable erg resources in Bosnia and Herzegovina is per formed. The methodology of evaluation of wind energy utilization is presented in this paper, as well as some other aspects of utilization of the renewable energy resources in Bosnia and Herzegovina. Implementation of selected projects should improve sustainability of energy power production in Bosnia and Herzegovina, by reducing the total emission of carbon dioxide originated from energy power system of Bosnia and Herzegovina.

A Roadmap for Rural Electrification in Developing Countries Using MiViPPs (Microutility Virtual Power Plants)

2010 ◽  
Author(s):  
Swati Pandey ◽  
Manish Chauhan
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Power Plant ◽  
Rural Areas ◽  
Power Plants ◽  
Local Level ◽  
Rural Electrification ◽  
Virtual Power ◽  
Effective Manner ◽  
Virtual Power Plants

In this paper we present a road-map for rural electrification in developing countries by means of Renewable Energy based MiViPPs (Microutility virtual power plants). First and foremost a feasibility and viability analysis of the various upcoming and alternative renewable energy options is performed with respect to rural environmental constraints and demands. Renewable Energy based DDG’s (Decentralized Distributed Generation Units) offer the potential for affordable, clean electricity with minimal losses and effective maintenance and local cost recovery. But Independent DDG projects are fraught with their own issues mainly stemming from the unreliable and intermittent nature of the generated power and high costs. We propose an alternative approach to rural electrification which involves off grid DDG units operated at the local level taking advantage of feasible renewable energy technologies, which can effectively serve rural areas and reduce the urgency of costly grid extension. In MIVIPP model, a multitude of decentralized units (renewable energy based units and a non-renewable energy based unit for last mile backup) are centrally controlled and managed as part of an interconnected network, resulting into a virtual power plant that can be operated as a distributed power plant large enough to reliably serve all the local electricity demands in a cost effective manner. Finally, by a set of simulation results we establish how an automated MIVIPP (based on an Intelligent Auto Control System) effectively addresses all the issues pertaining to Dispersed DDG units by leveraging the scalability achieved by mutually augmenting the supplies from different Renewable Energy Based DDG units.

Calculation of Receipt of Renewable Energy Resources and Operation Modes of Power Plants

2021 ◽  
pp. 1777-1795
Author(s):  
Baba Dzhabrailovich Babaev ◽  
Vladimir Panchenko ◽  
Valeriy Vladimirovich Kharchenko
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Optimization Problem ◽  
Renewable Energy Sources ◽  
Operating Mode ◽  
Climatic Conditions ◽  
Energy Resources ◽  
Optimal Configuration ◽  
Renewable Energy Resources ◽  
Energy Complex

The main objective of the work is to develop principles for the formation of the optimal composition of the energy complex from all the given power plants based on renewable energy sources for an autonomous consumer, taking into account the variable energy loads of the consumer, changing climatic conditions and the possibility of using local fuel and energy resources. As a result of solving this optimization problem, in addition to the optimal configuration of the power complex, it is also necessary to solve the problem of optimizing the joint operation of different types of power plants from the selected optimal configuration, that is, it is necessary to determine the optimal modes of operation of power plants and the optimal share of their participation in providing consumers at every moment in time. A numerical method for analyzing and optimizing the parameters and operating mode of the energy complex with the most accurate consideration of the schedule of changes in consumer load and software that automates the solution of this optimization problem are also presented.

scholarly journals Stochastic Mixed-Integer Programming (SMIP)-Based Distributed Energy Resource Allocation Method for Virtual Power Plants

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 67
Author(s):  
Rakkyung Ko ◽  
Sung-Kwan Joo
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Mixed Integer ◽  
Virtual Power ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Stochastic Mixed Integer Programming ◽  
Virtual Power Plants

Virtual power plants (VPPs) have been widely researched to handle the unpredictability and variable nature of renewable energy sources. The distributed energy resources are aggregated to form into a virtual power plant and operate as a single generator from the perspective of a system operator. Power system operators often utilize the incentives to operate virtual power plants in desired ways. To maximize the revenue of virtual power plant operators, including its incentives, an optimal portfolio needs to be identified, because each renewable energy source has a different generation pattern. This study proposes a stochastic mixed-integer programming based distributed energy resource allocation method. The proposed method attempts to maximize the revenue of VPP operators considering market incentives. Furthermore, the uncertainty in the generation pattern of renewable energy sources is considered by the stochastic approach. Numerical results show the effectiveness of the proposed method.

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