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The Role of Storage and Demand Response in Sustainable Energy...
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The Role of Storage and Demand Response in Sustainable Energy Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 4618

Special Issue Editors

Prof. Dr. Alan Brent

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Guest Editor
Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Interests: sustainable technology management; sustainable energy systems; integration of renewable energy resources, power and energy systems engineering, as well as energy Generation, conversion, and storage engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Soheil Mohseni

E-Mail Website
Guest Editor
Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Interests: cost-optimal integration of distributed energy resources, green vehicles, and electrified heating into renewable and sustainable energy systems; quantification of the uncertainties associated with the forecasted electrical/thermal loads, climatic data, green vehicles’ power consumption and driving patterns, as well as wholesale electricity market prices; application of evolutionary algorithms to the optimal operational scheduling and planning of renewable energy systems; and demand response-integrated techno-economic analysis of poly-generation energy networks

Special Issue Information

Dear Colleagues,

Demand response and advanced storage technologies—batteries, hydrogen, flywheels, super-capacitors, thermal, compressed air, liquid air, and pumped-hydro storage, among others—are two of the most important tools to better align variable renewable energy with electricity demand patterns through effective peak shaving and load levelling strategies. More specifically, storage allows for shifting the timing of supply, whereas demand response provides a platform for managing the timing of demand. The role of demand response and storage is increasingly salient in modernised power systems with high shares of variable renewables. Although a growing body of literature has proposed a range of demand-side flexibility and storage interventions in the presence of a diversified array of renewable technologies, further research is still needed to quantify the integration levels at which storage and demand response become the cost-optimal flexibility options. That is, exploring the role of these interventions in future microgrids and the wider power systems with high-penetrations of variable renewables requires continued analysis, improved methodologies, as well as new optimisation and forecasting techniques. In this light, the topics of interest of this Special Issue include, but are not limited to:

  • The cost-optimal trade-offs between the levels of demand response and storage allocation;
  • Characterisation of the uncertainties inherent in heterogenous demand response capacity supplies and the uncertainties associated with degradation of storage technologies;
  • Exploring the cost-effectiveness of storage and demand-side management relative to other flexibility options;
  • Studying the value-augmenting services unlocked by storage and demand response, such as energy arbitrage, network support, and ancillary services;
  • New integrated operational scheduling and investment planning methods for small- to medium-scale renewable energy systems considering demand response and storage systems.

Prof. Dr. Alan Brent
Dr. Soheil Mohseni
Guest Editors

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. Sustainability 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

  • sustainable energy systems
  • demand response
  • battery storage
  • degradation
  • renewable energy resources
  • optimisation
  • multi-energy systems
  • microgrids
  • flexibility
  • uncertainty
  • optimal sizing
  • optimal dispatch
  • energy management

Published Papers (2 papers)

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Research

24 pages, 11118 KiB  
Article
A Metaheuristic-Based Micro-Grid Sizing Model with Integrated Arbitrage-Aware Multi-Day Battery Dispatching
by Soheil Mohseni and Alan C. Brent
Sustainability 2022, 14(19), 12941; https://doi.org/10.3390/su141912941 - 10 Oct 2022
Cited by 6 | Viewed by 2057
Abstract
Rule-based micro-grid dispatch strategies have received significant attention over the last two decades. However, a recent body of literature has conclusively shown the benefits of operational scheduling optimisation while optimally sizing micro-grids. This is commonly referred to as micro-grid design and dispatch co-optimisation [...] Read more.
Rule-based micro-grid dispatch strategies have received significant attention over the last two decades. However, a recent body of literature has conclusively shown the benefits of operational scheduling optimisation while optimally sizing micro-grids. This is commonly referred to as micro-grid design and dispatch co-optimisation (MGDCO). However, as far as can be ascertained, all the existing MGDCO models in the literature consider a 24-h-resolved day-ahead timeframe for the associated optimal energy scheduling processes. That is, intelligent, look-ahead energy dispatch strategies over multi-day timeframes are generally absent from the wider relevant literature. In response, this paper introduces a novel MGDCO modelling framework that integrates an arbitrage-aware linear programming-based multi-day energy dispatch strategy into the standard metaheuristic-based micro-grid investment planning processes. Importantly, the model effectively extends the mainstream energy scheduling optimisation timeframe in the micro-grid investment planning problems by producing optimal dispatch solutions that are aware of scenarios over three days. Based on the numeric simulation results obtained from a test-case micro-grid, the effectiveness of the proposed optimisation-based dispatch strategy in the micro-grid sizing processes is verified, while retaining the computational tractability. Specifically, comparing the proposed investment planning framework, which uses the formulated 72-h dispatch strategies, with the business-as-usual MGDCO methods has demonstrated that it can reduce the micro-grid’s whole-life cost by up to 8%. Much of the outperformance of the proposed method can be attributed to the effective use of the behind-the-meter Li-ion battery storage, which improves the overall system flexibility. Full article
(This article belongs to the Special Issue The Role of Storage and Demand Response in Sustainable Energy Systems)
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22 pages, 6182 KiB  
Article
A Charge/Discharge Plan for Electric Vehicles in an Intelligent Parking Lot Considering Destructive Random Decisions, and V2G and V2V Energy Transfer Modes
by Mahyar Alinejad, Omid Rezaei, Reza Habibifar and Mahdi Azimian
Sustainability 2022, 14(19), 12816; https://doi.org/10.3390/su141912816 - 8 Oct 2022
Cited by 10 | Viewed by 1848
Abstract
The random decisions of electric vehicle (EV) drivers, together with the vehicle-to-vehicle (V2V) and vehicle-to-grid (V2G) energy transfer modes, make scheduling for an intelligent parking lot (IPL) more complex; thus, they have not been considered simultaneously during IPL planning in other studies. To [...] Read more.
The random decisions of electric vehicle (EV) drivers, together with the vehicle-to-vehicle (V2V) and vehicle-to-grid (V2G) energy transfer modes, make scheduling for an intelligent parking lot (IPL) more complex; thus, they have not been considered simultaneously during IPL planning in other studies. To fill this gap, this paper presents a complete optimal schedule for an IPL in which all the above-mentioned items are considered simultaneously. Additionally, using a complete objective function—including charging/discharging rates and prices, together with penalties, discounts, and reward sets—increases the profits of IPL and EV owners. In addition, during peak times, the demand for energy from the distribution system is decreased. The performance of the proposed schedule is validated by comparing three different scenarios during numerical simulations. The results confirm that the proposed algorithm can improve the IPL’s benefits up to USD 1000 and USD 2500 compared to the cases that do not consider the V2V and V2G energy transfer modes, respectively. Full article
(This article belongs to the Special Issue The Role of Storage and Demand Response in Sustainable Energy Systems)
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