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Local Electricity Markets: Current Trends, Mechanism Design and Participation
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Local Electricity Markets: Current Trends, Mechanism Design and Participation

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 (10 January 2022) | Viewed by 15560

Special Issue Editors

Dr. Nikolaos Paterakis

E-Mail Website
Guest Editor
Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
Interests: electricity markets; machine learning; optimization; power system operations and planning; renewable energy; Smart Grid
Special Issues, Collections and Topics in MDPI journals
Dr. Juan S. Giraldo

E-Mail Website1 Website2
Guest Editor
Department of Electrical Energy Systems, Eindhoven University of Technology, Groene Loper 19, 5612 AP Eindhoven, The Netherlands
Interests: optimal planning, operation, and control of electrical power systems; energy management systems; modern electricity markets; machine learning applied to power systems

Special Issue Information

Dear Colleagues,

The power sector is undergoing a transition characterized by the increasing decentralization and diversification of the generation mix, a tighter coupling with other energy carriers, as well as the intensified electrification of the transport sector and industrial processes. Wholesale electricity and ancillary service markets are constantly evolving in order to accommodate the characteristics of this transition by recognizing new market roles and enabling market floors and products to allow for more efficient portfolio management and guarantee seamless grid balancing. Despite the relevant developments, the extent to which the options enabled by wholesale electricity markets can be used to effectively exploit the flexibility of resources connected at the distribution system and extract system services via coarse aggregation is debatable. In the same time, the proliferation of grid monitoring and automation technologies in medium and low voltage distribution systems together with a host of digital technologies have enabled the design and operation of local electricity market structures. In contrast with wholesale electricity markets, such local electricity market structures may be designed in a lean fashion that reflects particular societal needs, the adoption of particular decentralized generation and energy storage technologies within a specific geographical area, and allows for the development of bespoke energy products and distribution system services.

Local electricity markets have recently received significant attention both in terms of published literature and real-world implementations, especially in the context of microgrids, energy communities and peer-to-peer energy trading. Nonetheless, many challenges pertaining to the development of local electricity markets such as mechanism design, aspects of end-user participation, impact on the power system, data governance, as well as the interaction between local and wholesale electricity markets still remain.

This Special Issue invites contributions from different disciplines that address current challenges and bring forward new problems in local electricity markets. Both original research and comprehensive review papers are welcome.

Dr. Nikolaos Paterakis
Dr. Juan S. Giraldo
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. 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

  • Local electricity markets
  • Peer-to-peer energy trading
  • Energy communities
  • Microgrids

Published Papers (4 papers)

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Research

15 pages, 4942 KiB  
Article
Economic Energy Allocation of Conventional and Large-Scale PV Power Plants
by Omar Jouma El-Hafez, Tarek Y. ElMekkawy, Mohamed Bin Mokhtar Kharbeche and Ahmed Mohammed Massoud
Appl. Sci. 2022, 12(3), 1362; https://doi.org/10.3390/app12031362 - 27 Jan 2022
Cited by 3 | Viewed by 2432
Abstract
During the past few decades, rapid progress in reducing the cost of photovoltaic (PV) energy has been achieved. At the megawatt (MW) to gigawatt (GW) scale, large PV systems are connected to the electricity grid to provide power during the daytime. Many PVs [...] Read more.
During the past few decades, rapid progress in reducing the cost of photovoltaic (PV) energy has been achieved. At the megawatt (MW) to gigawatt (GW) scale, large PV systems are connected to the electricity grid to provide power during the daytime. Many PVs can be installed on sites with optimal solar radiation and other logistical considerations. However, the electricity produced by the PV power plant has to be transmitted and distributed by the grid, which leads to more power losses. With the widespread commissioning of the large-scale solar PV power plants connected to the grid, it is crucial to have an optimal energy allocation between the conventional and the PV power plants. The electricity cost represents the most significant part of the budget in the power distribution companies, which can reach in many countries billions of dollars. This optimal energy allocation is used to minimize the electricity cost from buyers’ (distribution companies) point of view rather than sellers’ (owners of power plants, i.e., investors) point of view. However, some constraints have to be considered and met, such as water demand, network limitations, and contractual issues such as minimum-take energy. This paper develops a model for the economic energy allocation of conventional and large-scale PV power plants, which considers both the operational aspects and the contractual provisions. The model can be used either in the design or operation phases to minimize the operating cost. Moreover, the proposed model can be used for budgeting tasks. The developed model is entirely generic and can be used for any country or electricity system regardless of the PV energy contribution. Furthermore, the Al-Karsaah power plant located in Qatar is discussed as a case study to validate the claimed contribution. Full article
(This article belongs to the Special Issue Local Electricity Markets: Current Trends, Mechanism Design and Participation)
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16 pages, 1525 KiB  
Article
Energy Communities Design Optimization in the Italian Framework
by Matteo Zatti, Matteo Moncecchi, Marco Gabba, Alberto Chiesa, Filippo Bovera and Marco Merlo
Appl. Sci. 2021, 11(11), 5218; https://doi.org/10.3390/app11115218 - 4 Jun 2021
Cited by 26 | Viewed by 3295
Abstract
Energy communities (EC) are expected to have a pivotal role to reach European decarbonization targets. One of the key aspects is the regulatory framework adopted by each Member State to properly manage such new customers’ aggregation. The paper firstly provides an updated overview [...] Read more.
Energy communities (EC) are expected to have a pivotal role to reach European decarbonization targets. One of the key aspects is the regulatory framework adopted by each Member State to properly manage such new customers’ aggregation. The paper firstly provides an updated overview of the EC regulation, focusing on the current Italian legislation. Next, a novel methodology for the design and management of energy community initiatives is proposed. The procedure firstly solves a design and operation optimization problem to calculate the best size of energy assets (boiler, heat pump, photovoltaic, thermal storage) to be installed. Second, a Shapley value-based approach is exploited to distribute a part of the community’s incomes to members, based on their contribution to the overall welfare. Results demonstrate that the adopted methodology is effective in ensuring a proper cash flow for the community, while pushing its members towards energy efficient behaviors. Full article
(This article belongs to the Special Issue Local Electricity Markets: Current Trends, Mechanism Design and Participation)
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25 pages, 5306 KiB  
Article
Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework
by Poushali Pal, Parvathy Ayalur Krishnamoorthy, Devabalaji Kaliaperumal Rukmani, S. Joseph Antony, Simon Ocheme, Umashankar Subramanian, Rajvikram Madurai Elavarasan, Narottam Das and Hany M. Hasanien
Appl. Sci. 2021, 11(9), 3814; https://doi.org/10.3390/app11093814 - 23 Apr 2021
Cited by 26 | Viewed by 5624
Abstract
Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security, [...] Read more.
Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security, especially when the utilized source is solar radiation or wind flow. The intermittency of the renewable generation can be met by the integration of distributed energy resources. The virtual power plant (VPP) is a new concept which aggregates the capacities of various distributed energy resources, handles controllable and uncontrollable loads, integrates storage devices and empowers participation as an individual power plant in the electricity market. The VPP as an energy management system (EMS) should optimally dispatch the power to its consumers. This research work is proposed to analyze the optimal scheduling of generation in VPP for the day-ahead market framework using the beetle antenna search (BAS) algorithm under various scenarios. A case study is considered for this analysis in which the constituting energy resources include a photovoltaic solar panel (PV), micro-turbine (MT), wind turbine (WT), fuel cell (FC), battery energy storage system (BESS) and controllable loads. The real-time hourly load curves are considered in this work. Three different scenarios are considered for the optimal dispatch of generation in the VPP to analyze the performance of the proposed technique. The uncertainties of the solar irradiation and the wind speed are modeled using the beta distribution method and Weibull distribution method, respectively. The performance of the proposed method is compared with other evolutionary algorithms such as particle swarm optimization (PSO) and the genetic algorithm (GA). Among these above-mentioned algorithms, the proposed BAS algorithm shows the best scheduling with the minimum operating cost of generation. Full article
(This article belongs to the Special Issue Local Electricity Markets: Current Trends, Mechanism Design and Participation)
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25 pages, 893 KiB  
Article
Baselining Flexibility from PV on the DSO-Aggregator Interface
by Rik Fonteijn, Phuong H. Nguyen, Johan Morren and J. G. (Han) Slootweg
Appl. Sci. 2021, 11(5), 2191; https://doi.org/10.3390/app11052191 - 3 Mar 2021
Cited by 8 | Viewed by 2684
Abstract
Flexibility can be used to mitigate distribution network overloading. Distribution system operators (DSOs) can obtain this flexibility from market parties connected to the distribution network. After flexibility has been delivered to the DSO, it needs to be settled. This is typically done by [...] Read more.
Flexibility can be used to mitigate distribution network overloading. Distribution system operators (DSOs) can obtain this flexibility from market parties connected to the distribution network. After flexibility has been delivered to the DSO, it needs to be settled. This is typically done by comparing load measurements with a baseline. This baseline describes an asset’s power profile in case no flexibility would have been delivered. Until recently, baselining research mainly focused on large-scale, predictable and controllable assets. The flexibility used by DSOs however typically comes from small-scale, less predictable and less controllable assets. This paper addresses the baselining problem for photo-voltaic systems. Three existing baselining methods are selected based on their simplicity and transparency and their limitations with respect to application towards photo-voltaic systems are evaluated. Based on this, a proof-of-concept for a new, fourth method is provided. It overcomes some of the limitations of the three existing ones, while still ensuring simplicity and transparency in order to promote market acceptance and practical applicability. All four methods are subjected to two different curtailment strategies: curtailing all peaks above a threshold and curtailing based on a day-ahead flexibility request. Using weather data from three summer weeks in 2019, it is shown that the newly developed method is able to provide a more accurate baseline than the existing methods. Full article
(This article belongs to the Special Issue Local Electricity Markets: Current Trends, Mechanism Design and Participation)
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