Resource adequacy in interdependent electricity markets undergoing heterogeneous expansion in renewable energy

2019 ◽  
Vol 13 (18) ◽  
pp. 4061-4072 ◽  
Author(s):  
Seyed Alireza Mozdawar ◽  
Asghar Akbari Foroud ◽  
Meysam Amirahmadi
Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1877
Author(s):  
Widha Kusumaningdyah ◽  
Tetsuo Tezuka ◽  
Benjamin C. McLellan

Energy transitions are complex and involve interrelated changes in the socio-technical dimensions of society. One major barrier to renewable energy transitions is lock-in from the incumbent socio-technical regime. This study evaluates Energy Product–Service Systems (EPSS) as a renewable energy market mechanism. EPSS offer electricity service performance instead of energy products and appliances for household consumers. Through consumers buying the service, the provider company is enabled to choose, manage and control electrical appliances for best-matched service delivery. Given the heterogenous market players and future uncertainties, this study aims to identify the necessary conditions to achieve a sustainable renewable energy market. Simulation-Based Design for EPSS framework is implemented to assess various hypothetical market conditions’ impact on market efficiency in the short term and long term. The results reveal the specific market characteristics that have a higher chance of causing unexpected results. Ultimately, this paper demonstrates the advantage of implementing Simulation-Based Design for EPSS to design retail electricity markets for renewable energy under competing market mechanisms with heterogenous economic agents.


2017 ◽  
Vol 1 ◽  
pp. 2BIOTO ◽  
Author(s):  
Patrick Eser ◽  
Ndaona Chokani ◽  
Reza S. Abhari

AbstractThe operation of conventional power plants in the 2030 high-renewable energy system of central Europe with high penetration of renewables is simulated in this work. Novel insights are gained in this work, since the generation, transmission and demand models have high geographic resolution, down to scale of individual units, with hourly temporal resolution. It is shown that the increases in the partload efficiency that optimize gas power plants’ financial performance in 2030 are highly dependent on the variability in power production of renewable power plants that are in close proximity to the gas power plants. While coal power plants are also cycled more, an increased baseload efficiency is more beneficial for their financial viability. Thus, there is a need for OEMs to offer a wide range of technology solutions to cover all customers’ needs in electricity markets with high penetrations of renewables. Therefore there is an increased investment risk for OEMs as they strive to match their customers’ future needs.


2018 ◽  
Vol 52 (5) ◽  
pp. 99-109 ◽  
Author(s):  
Andrea Copping ◽  
Al LiVecchi ◽  
Heather Spence ◽  
Alicia Gorton ◽  
Scott Jenne ◽  
...  

AbstractMarine renewable energy (MRE) is in the early stages of contributing to the energy portfolios of the United States and many other nations around the world. Although many MRE developers are designing devices that will harvest energy to contribute to the electrical grid from waves, tides, and ocean currents, a number of other promising maritime markets could be supplied with MRE power at sea. These maritime markets are often less price sensitive, have fewer options than utility-scale electricity markets, and can handle some degree of intermittency. Some of the promising maritime markets that could benefit from co-located power generation include ocean observation nodes, underwater recharge of autonomous vehicles, desalination of seawater for remote coastal areas, offshore aquaculture, shoreline protection and electricity generation, providing electricity and freshwater following coastal emergencies, providing power to islanded and isolated communities, powering and cooling nearshore underwater data centers, recharging of electric surface vessels, and personal charging of electronics. Pairing of MRE power generation with these and other maritime markets is in the early stages, but the potential for synergy and growth of MRE coupled to these markets is promising.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3310 ◽  
Author(s):  
Ignacio Blanco ◽  
Daniela Guericke ◽  
Anders Andersen ◽  
Henrik Madsen

In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only provide flexibility to the power system by acting on the electricity market, but also profit from the situation to lower the overall system cost. However, the operational planning and bidding includes several uncertain components at the time of planning: electricity prices as well as heat and power production from RES. In this publication, we propose a planning method based on stochastic programming that supports DH operators by scheduling the production and creating bids for the day-ahead and balancing electricity markets. We apply our solution approach to a real case study in Denmark and perform an extensive analysis of the production and trading behavior of the DH system. The analysis provides insights on system costs, how DH system can provide regulating power, and the impact of RES on the planning.


2020 ◽  
Vol 85 ◽  
pp. 104556 ◽  
Author(s):  
Diego Godoy-González ◽  
Esteban Gil ◽  
Guillermo Gutiérrez-Alcaraz

Author(s):  
Philip Odonkor ◽  
Kemper Lewis

Abstract In the wake of increasing proliferation of renewable energy and distributed energy resources (DERs), grid designers and operators alike are faced with several emerging challenges in curbing allocative grid inefficiencies and maintaining operational stability. One such challenge relates to the increased price volatility within real-time electricity markets, a result of the inherent intermittency of renewable energy. With this challenge, however, comes heightened economic interest in exploiting the arbitrage potential of price volatility towards demand-side energy cost savings. To this end, this paper aims to maximize the arbitrage value of electricity through the optimal design of control strategies for DERs. Formulated as an arbitrage maximization problem using design optimization, and solved using reinforcement learning, the proposed approach is applied towards shared DERs within multi-building residential clusters. We demonstrate its feasibility across three unique building cluster demand profiles, observing notable energy cost reductions over baseline values. This highlights a capability for generalized learning across multiple building clusters and the ability to design efficient arbitrage policies towards energy cost minimization. Finally, the approach is shown to be computationally tractable, designing efficient strategies in approximately 5 hours of training over a simulation time horizon of 1 month.


Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 26
Author(s):  
Pavel Atănăsoae ◽  
Radu Dumitru Pentiuc ◽  
Eugen Hopulele

Increasing of intermittent production from renewable energy sources significantly affects the distribution of electricity prices. In this paper, we analyze the impact of renewable energy sources on the formation of electricity prices on the Day-Ahead Market (DAM). The case of the 4M Market Coupling Project is analyzed: Czech-Slovak-Hungarian-Romanian market areas. As a result of the coupling of electricity markets and the increasing share of renewable energy sources, different situations have been identified in which prices are very volatile.


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