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Applied Sciences
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High Renewable Penetration Power System
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High Renewable Penetration Power System

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 July 2019) | Viewed by 7104

Special Issue Editors

Prof. Dr. Federico Silvestro

E-Mail Website
Guest Editor
Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Via Opera Pia 11 A, I-16145 Genova, Italy
Interests: power system modelling and control; power system dynamics and market operation; stochastic programming and optimization; distribution network management and operation; real-time control and management of electrical loads
Special Issues, Collections and Topics in MDPI journals
Dr. Francesco Conte

E-Mail Website
Co-Guest Editor
Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, University of Genoa, 16145 Genova, Italy
Interests: power systems; smart grid; energy storage devices; renewable energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The wide installation of renewable energy sources (RES) is severely changing the power system. The control and management of the future network will become highly complex because of the reduction of fully controllable and programmable power plants and the large penetration of not programmable and highly distributed generation units. The development of new control paradigms, which allow the definitive integration of RES into the power system, is a fundamental requirement. 

With this Special Issue, we are looking for works that propose and eventually validate, via real-time/real field experiments or co-simulation/hardware-in-the-loop simulations, centralized or distributed control strategies for involving renewable energy sources (e.g. wind, photovoltaic) and/or flexible electrical loads in the control of power systems in a context of high penetration of renewables. Microgrids or virtual power plant configurations, also integrated with energy storage systems, are particularly welcome.  

Assoc. Prof. Federico Silvestro
Guest Editor

Dr. Francesco Conte
Co-Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Renewable generation control
  • Integrated PV-BESS systems
  • Integrated Wind-BESS systems
  • Flexible load control for power system control services
  • Microgrids and virtual power plants
  • Power system stability
  • Virtual inertia

Published Papers (2 papers)

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Research

16 pages, 3557 KiB  
Article
Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids
by Jingshan Wang, Ke-Jun Li, Zahid Javid and Yuanyuan Sun
Appl. Sci. 2019, 9(10), 2136; https://doi.org/10.3390/app9102136 - 24 May 2019
Cited by 15 | Viewed by 2787
Abstract
With the increasing integration of rooftop photovoltaic (PV) generation and plug-in electric vehicles (EVs) into the households at user level, household consumers become prosumers. The coordination between the household prosumers and distribution network (DN) becomes essential to the energy management and optimal operation [...] Read more.
With the increasing integration of rooftop photovoltaic (PV) generation and plug-in electric vehicles (EVs) into the households at user level, household consumers become prosumers. The coordination between the household prosumers and distribution network (DN) becomes essential to the energy management and optimal operation for both entities. In this paper, the residential prosumer cluster is considered as a residential microgrid (RMG) and a hierarchical DN integration method for the multi-RMGs is presented. A two-level hierarchical distributed optimization model is established based on the analytical target cascading to coordinate the RMGs and DNs. At the RMGs level, each RMG is required to individually optimize the energy consumption scheduling in every household by taking into account the effect of time-of-use electricity price on the demand response of EVs and flexible loads. At the DN level, the optimally coordinated operation problem is formulated as a relaxed optimal power flow model based on the second order cone programming by considering the power flow balance constraints. Case studies on the modified IEEE 33-bus system demonstrate the feasibility and effectiveness of the proposed method by achieving coordinated economic optimality as well as coordinated operating points for all entities. Full article
(This article belongs to the Special Issue High Renewable Penetration Power System)
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18 pages, 2114 KiB  
Article
Optimal Scheduling of Hydro–PV–Wind Hybrid System Considering CHP and BESS Coordination
by Shengmin Tan, Xu Wang and Chuanwen Jiang
Appl. Sci. 2019, 9(5), 892; https://doi.org/10.3390/app9050892 - 2 Mar 2019
Cited by 23 | Viewed by 3958
Abstract
Coordination of a hydropower, combined heat and power (CHP), and battery energy storage system (BESS) with multiple renewable energy sources (RES) can effectively reduce the adverse effects of large-scale renewable energy integration in power systems. This paper proposes a concept of a renewable-based [...] Read more.
Coordination of a hydropower, combined heat and power (CHP), and battery energy storage system (BESS) with multiple renewable energy sources (RES) can effectively reduce the adverse effects of large-scale renewable energy integration in power systems. This paper proposes a concept of a renewable-based hybrid energy system and puts forward an optimal scheduling model of this system, taking into account the cost of operation and risk. An optimization method is proposed based on Latin hypercube sampling, scene reduction, and piecewise linearization. Firstly, a large number of samples were generated with the Latin hypercube sampling method according to the uncertainties, including the renewable resources availability, the load demand, and the risk aversion coefficients, and the generated samples were reduced with a scene reduction method. Secondly, the piecewise linearization method was applied to convert nonlinear constraints into linear to obtain the best results of each scene. Finally, the performance of the proposed model and method was evaluated based on case studies with real-life data. Results showed that the renewable-based hybrid system can not only reduce the intermittent and volatility of renewable resources but also ensure the smooth of tie-line power as much as possible. The proposed model and method are universal, feasible, and effective. Full article
(This article belongs to the Special Issue High Renewable Penetration Power System)
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