Academic literature on the topic 'Electricity market design'

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Journal articles on the topic "Electricity market design"

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Cramton, Peter. "Electricity market design." Oxford Review of Economic Policy 33, no. 4 (2017): 589–612. http://dx.doi.org/10.1093/oxrep/grx041.

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Woo, C. K., and J. Zarnikau. "A nice electricity market design." Electricity Journal 32, no. 9 (November 2019): 106638. http://dx.doi.org/10.1016/j.tej.2019.106638.

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Ausubel, Lawrence M., and Peter Cramton. "Using forward markets to improve electricity market design." Utilities Policy 18, no. 4 (December 2010): 195–200. http://dx.doi.org/10.1016/j.jup.2010.05.004.

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Piao, Longjian, Laurens de Vries, Mathijs de Weerdt, and Neil Yorke-Smith. "Electricity Markets for DC Distribution Systems: Design Options." Energies 12, no. 14 (July 10, 2019): 2640. http://dx.doi.org/10.3390/en12142640.

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DC distribution systems (DCDSs) are a promising alternative to AC systems because they remove AC-DC conversions between renewable sources and loads. Their unique features compared to AC include low system inertia, strict power limits and power–voltage coupling. In a liberalised electricity market, merely applying an AC market design to a DCDS cannot guarantee the latter’s supply security and voltage stability; new markets must be designed to meet DC challenges. This article identifies the key design options of DCDS electricity markets. To identify these options, we develop a comprehensive design framework for local electricity markets; to our knowledge, we provide the first such analysis. Whereas previous studies focus on separate aspects of DCDS markets, we widen the scope to include the role of market architecture and investigate the arrangements of sub-markets. As an illustration, we demonstrate three promising DCDS market designs that can be defined in our framework, and provide a first assessment of their performance.
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Pownall, Thomas, Iain Soutar, and Catherine Mitchell. "Re-Designing GB’s Electricity Market Design: A Conceptual Framework Which Recognises the Value of Distributed Energy Resources." Energies 14, no. 4 (February 20, 2021): 1124. http://dx.doi.org/10.3390/en14041124.

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The design of electricity markets determines the technologies, services and modes of operation that can access value, consequently shaping current and future electricity landscapes. This paper highlights that the efficacy of Great Britain’s electricity market design in facilitating net zero is inadequate and must be reconfigured. The rules of the current electricity market design are remnants of an electricity sector dominated by large-scale, centralised, fossil fuel technologies. Therefore, routes to market for the provision of necessary services to support net zero, not least flexibility, are largely inaccessible for distributed energy resources and, despite their benefits to the system, are thus undervalued. Based upon a review and consolidation of 30 proposed electricity market designs from liberalised electricity sectors, this paper proposes a new electricity market design for Great Britain. This design is presented alongside a new institutional framework to aid in the efficient operation of the market. Specifically, this paper proposes a new local balancing and coordinating market located at each grid supply point (the transmission and distribution interface). This is realised through the implementation of a distributed locational marginal pricing structure which is governed by the evolution of the current distributed network operator, known as the distributed service provider (DSP). The DSP also operates a local balancing and ancillary market for their geographical area. The wholesale market is reconfigured to coordinate with these new local markets and to harmonise the actors across the distribution and transmission network.
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Panfil, Michael, and Rama Zakaria. "Uncovering Wholesale Electricity Market Principles." Michigan Journal of Environmental & Administrative Law, no. 9.1 (2020): 145. http://dx.doi.org/10.36640/mjeal.9.1.uncovering.

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This paper examines, enunciates, and makes explicit a set of market principles historically relied upon by the Federal Energy Regulatory Commission (FERC) to regulate wholesale electricity markets as required under the Federal Power Act (FPA). These identified competitive market principles are supported by policy and legal foundations that run through a myriad of FERC orders and court decisions. This paper seeks to make that history and those implicit market principles explicit by distilling and organizing Commission Orders and court decisions. It concludes that five market principles, each with multiple subprinciples, can be identified as elemental to how FERC understands and implements its statutory authority. Clear articulation of these foundational principles should help guide engaged entities as wholesale power markets continue to evolve. Market Principle 1 states that wholesale market revenues should predominantly flow from well-designed energy and ancillary services markets. Market structures generally are found to be preferable to non-market structures. Moreover, energy and ancillary services markets, in relationship to wholesale capacity markets, are better able to efficiently promote a least-cost resource. Market Principle 2 states that when altering market design, FERC and Independent System Operators (ISOs) should focus on only those services that are clearly needed, and ensure that any market design change does not unduly discriminate between resources. Market design changes focused on technology-neutral and well-defined granular services will help ensure that the design change does not lead to undue discrimination or preference that effectively favors certain resources. When such an impact still occurs, strong evidence showing that the rules are not unreasonable and arbitrary and that no non-unduly discriminatory and preferential alternative exists must support the change. Market Principle 3 states that interventions that distort transparent and accurate pricing should be minimized. Out-of-market interventions, in particular, have the potential to distort price signals and undermine competition. Market Principle 4 states that FERC’s just and reasonable standard strongly favors rate decreasing outcomes. Markets are premised on the economic presumption that competition reduces prices, in furtherance of the just and reasonable standard. Market Principle 5 states that FERC and ISOs should facilitate and not undermine state public policy preferences. FERC and ISOs are not well-situated to serve as decision-makers in determining which state public policy preferences should be given effect. State public policy preferences that do not run afoul of FERC’s authority under the FPA should thus be given full effect.
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Olson, Mark, Stephen Rassenti, Mary Rigdon, and Vernon Smith. "Market Design and Human Trading Behavior in Electricity Markets." IIE Transactions 35, no. 9 (September 2003): 833–49. http://dx.doi.org/10.1080/07408170304406.

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Hogan, William W. "Virtual bidding and electricity market design." Electricity Journal 29, no. 5 (June 2016): 33–47. http://dx.doi.org/10.1016/j.tej.2016.05.009.

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Nelson, Tim, Fiona Orton, and Tony Chappel. "Decarbonisation and wholesale electricity market design." Australian Journal of Agricultural and Resource Economics 62, no. 4 (July 31, 2018): 654–75. http://dx.doi.org/10.1111/1467-8489.12275.

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Pereira, Guillermo Ivan, Patrícia Pereira da Silva, and Deborah Soule. "Assessment of electricity distribution business model and market design alternatives: Evidence for policy design." Energy & Environment 31, no. 1 (February 12, 2018): 40–59. http://dx.doi.org/10.1177/0958305x18758248.

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The transition toward smart electricity distribution grids is transforming the European electricity sector. This has contributed to increased attention by policy makers regarding the future role of electricity distribution system operators in a more flexible, digital, and renewables-based electricity system. A better understanding on how to support the adaptation of the electricity distribution industry can contribute to the introduction of an effective policy framework. Our research provides evidence for policy design by presenting the results of a Policy Delphi study focused on business model and market design adaptation alternatives. We highlight the importance of supporting innovation and a more proactive approach to adaptation from both distribution system operators and regulators. Our findings support the importance of electricity distribution for neutral market facilitation, contributing to market development and enabling new market players. The results obtained support policy makers working on electricity sector adaptation and can contribute to the ongoing market redesign efforts under the Energy Union.
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Dissertations / Theses on the topic "Electricity market design"

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Krovvidi, Sai S. "Competitive Microgrid Electricity Market Design." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32964.

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The electric power grid forms the foundation for several other critical infrastructures of national importance such as public health, transportation and telecommunication systems, to thrive. The current power grid runs on the century-old technology and faces serious challenges of the 21st century - Ever-increasing demand and the need to provide a sustainable way to meet the growing demand, increased requirement of resilience against man-made and natural disasters, ability to defend against cyber attacks, increasing demand for reliable power, requirement to integrate with alternate energy generation and storage technologies. Several countries, including the United States, have realized the immediate need to modernize the grid and to pursue the goal of a smart grid. Majority of recent grid modernization efforts are directed towards the distribution systems to be able to meet these new challenges. One of the key enablers of a fully functional Smart Grid are microgrids â subsystems of the grid, utilizing small generation capacities at the distribution system level to increase the overall reliability and power quality of the local grid. It is one of the key directions recommended by national electric delivery technologies roadmap in United States as well as policy makers for electricity delivery in many countries. Microgrids have witnessed serious research activity in the past few years, especially in areas such as multi-agent system (MAS) architectures for microgrid control and auction algorithms for microgrid electricity transaction. However, most of the prior research on electricity transaction in microgrids fails to recognize and represent the true nature of the microgrid electricity market. In this research, a comprehensive microgrid electricity market has been designed, taking into account several unique characteristics of this new market place. This thesis establishes an economic rationale to the vision of wide-scale deployment of microgrids serving residential communities in near future and develops a comprehensive understanding of microgrid electricity market. A novel concept of Community Microgrids is introduced and the market and business models for electricity transaction are proposed and validated based on economic forecasts of key drivers of distributed generation. The most important contribution of this research deals with establishing a need for a trustworthy model framework for microgrid market and introducing the concept of reputation score to market participants. A framework of day-ahead energy market (DAEM) for electricity transaction, incorporating an approach of using the reputation score to incentivize the sellers in the market to be trustworthy, has been designed and implemented in MATLAB with a graphical user interface (GUI). Current implementation demonstrates a market place with two sellers and nine buyers and is easily scalable to support multiple market participants. The proposed microgrid electricity market may spur the deployment of residential microgrids, incorporating distributed generation, thereby making significant contribution to increase the overall reliability and power quality of the local grid.
Master of Science
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Bennerstedt, Patrik, and Johan Grelsson. "Spain's electricity market design : A case study." Thesis, KTH, Tillämpad termodynamik och kylteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98488.

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Spain’s rapid implementation of renewable energy has been described as a success but thegovernmental cost associated to this rapid implementation has grown significantly. The purposeof this report is to investigate Spain’s electricity market, its current situation and present it, usingthe Swedish system as a reference.The report commences with a presentation of the Spanish and the Swedish electricity markets,followed by a chapter where they are compared. The renewable electricity production and theassociated development during the last decade is one focus of the comparison. The other focus ishow the costs of the subsidy systems have evolved and how they are connected to the differentenergy sources. Two sources, wind and solar, receives a higher interest than the others.Wind power shows a strong development in electricity production and contributes to asignificant part of the Spanish electricity mix. The costs of subsidies connected to the windpower reflect the produced electricity. Wind power in Sweden has had a rapid development overthe last two years and the subsidies costs are aligned with the electricity production through theuse of a quota system.There are great differences between the two countries regarding solar power. Sweden has hardlyany, while Spain has a noticeable contribution of electricity from solar power to its electricitymix. Solar power has an even more noticeable share in the Spanish subsidy system. The highsubsidies to solar power, which have not followed the reduced investment costs of equipment inrecent years, have led to a high degree of participation which has led to soaring costs for thesystem. Spain’s subsidy system is based on fixed earnings and variable costs and in combinationwith higher than expected costs, an annual deficit between the earnings and cost has been createdfor the government. This yearly deficit has increased and the Spanish government is now in debtto the five largest energy suppliers. The Swedish subsidy system carries its own costs and theSwedish government does not have a financial risk associated with the system.This study shows that the Spanish subsidy system has been too generous towards solar powerwhich is a large part, but not the only one, to the country’s huge deficit and debt. Sweden, withits quota system constructed without fixed earnings, does not risk creating a debt similar toSpain’s. Spain’s large part of wind power and how the volatile power is regulated could be ofinterest for Sweden which aims to increase its share of wind power in the future. This study findthe answer to how Spain copes with its high share of intermittent power production in that itaccepts a lower efficiency in its gas turbines in order to regulate the power output. Sweden, acountry without a large share of gas in its electricity mix, but with a large share of hydro power,uses its hydro capacity to regulate volatility in electricity system. Prior studies have already beenmade in this area with the result that 30 TWh of electricity from wind power, more thanSweden’s goal for 2020 regarding wind power, would be possible to regulate with the presentsystem each year.
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Tee, Chin Yen. "Market Design for the Future Electricity Grid: Modeling Tools and Investment Case Studies." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/856.

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The future electricity grid is likely to be increasingly complex and uncertain due to the introduction of new technologies in the grid, the increased use of control and communication infrastructure, and the uncertain political climate. In recent years, the transactive energy market framework has emerged as the key framework for future electricity market design in the electricity grid. However, most of the work done in this area has focused on developing retail level transactive energy markets. There seems to be an underlying assumption that wholesale electricity markets are ready to support any retail market design. In this dissertation, we focus on designing wholesale electricity markets that can better support transactive retail market. On the highest level, this dissertation contributes towards developing tools and models for future electricity market designs. A particular focus is placed on the relationship between wholesale markets and investment planning. Part I of this dissertation uses relatively simple models and case studies to evaluate key impediments to flexible transmission operation. In doing so, we identify several potential areas of concern in wholesale market designs: 1. There is a lack of consideration of demand flexibility both in the long-run and in the short-run 2. There is a disconnect between operational practices and investment planning 3. There is a need to rethink forward markets to better manage resource adequacy under long-term uncertainties 4. There is a need for more robust modeling tools for wholesale market design In Part II and Part III of this dissertation, we make use of mathematical decomposition and agent-based simulations to tackle these concerns. Part II of this dissertation uses Benders Decomposition and Lagrangian Decomposition to spatially and temporally decompose a power system and operation problem with active participation of flexible loads. In doing so, we are able to not only improve the computational efficiency of the problem, but also gain various insights on market structure and pricing. In particular, the decomposition suggests the need for a coordinated investment market and forward energy market to bridge the disconnect between operational practices and investment planning. Part III of this dissertation combines agent-based modeling with state-machine based modeling to test various spot, forward, and investment market designs, including the coordinated investment market and forward energy market proposed in Part II of this dissertation. In addition, we test a forward energy market design where 75% of load is required to be purchased in a 2-year-ahead forward market and various transmission cost recovery strategies. We demonstrate how the different market designs result in different investment decisions, winners, and losers. The market insights lead to further policy recommendations and open questions. Overall, this dissertation takes initial steps towards demonstrating how mathematical decomposition and agent-based simulations can be used as part of a larger market design toolbox to gain insights into different market designs and rules for the future electricity grid. In addition, this dissertation identifies market design ideas for further studies, particularly in the design of forward markets and investment cost recovery mechanisms.
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Scharff, Richard. "Design of Electricity Markets for Efficient Balancing of Wind Power Generation." Doctoral thesis, KTH, Elektriska energisystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171063.

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Deploying wind power to a larger extent is one solution to reduce negative environmental impacts of electric power supply. However, various challenges are connected with increasing wind power penetration levels. From the perspective of transmission system operators, this includes balancing of varying as well as - to some extent - uncertain generation levels. From the perspective of power generating companies, changes in the generation mix will affect the market's merit order and, hence, their profits. This thesis focuses on provision and use of flexibility in the Nordic electricity market. First, this thesis studies wind power variations and accuracy of wind power forecasts in Sweden using statistical methods. Even though today’s wind penetration levels are still low in Sweden, power systems and electricity markets have to cope with these characteristics of variations and forecast errors to a larger extent in future. Second, it investigates to which extent an increased exchange and use of flexibility that is available in the intraday time-frame could efficiently facilitate system balancing and whether this would also be profitable from the power generating companies' perspective. Here, a simulation model is developed that reflects important aspects of production planning and trading decisions in the intraday time-frame. In a first case study, it is shown that the benefits of internal rescheduling strongly depend on the costs to adjust production plans in the intraday time-frame as compared to real-time. In a second case study, it becomes evident that trading flexibility in the intraday time-frame can reduce the need for system balancing more efficiently than internal rescheduling within each balance responsible party. Motivated by the positive gains of intraday trading and the challenge of appropriately modelling continuous intraday markets, trading activity and price development on Elbas is investigated. The results provide insights into trading behaviour on a continuous intraday market and show that trading is not always in accordance to the power system's physical situation. To the extent to which better information and adaptations in the market design could improve the market participants' base for trading decisions, policy recommendations and further research questions areas suggested.
Att använda vindkraft i en större utsträckning är en möjlighet att minska elproduktionens negativa miljöpåverkan. Det finns dock också olika utmaningar med stora mängder vindkraft. Från ett systemperspektiv gäller det till exempel att hålla balansen mellan tillförsel och konsumtion av el. Från elproducenternas perspektiv bör vindkraftens påverkan på elmarknaden nämnas eftersom det påverka aktörernas vinster. Avhandlingen titta närmare in i hur man kan få tillgång till mer flexibilitet på produktionssidan. Avhandlingen består av tre delar. För det första undersöks variationer och prognosfel av vindkraft i Sverige med hjälp av statistiska metoder. Även om andel vindkraft hittills är låg i Sverige, behöver elsystemet och elmarknader i framtiden hantera samma egenskaper av själva variationer och prognosfel som idag men i en större utsträckning. För det andra undersöks hur den flexibiliteten som finns i tidshorisonten några timmar innan leveranstimmen kan utnyttjas för att integrera vindkraften på ett sätt som är både fördelaktigt från systemets och från aktörernas perspektiv. Undersökningen sker med hjälp av en simuleringsmodell som omfattar viktiga delar i produktionsplanering och intradayhandel. I en fallstudie uppvisas att vinster av intern omplanering är i högsta grad beroende på kostnadsskillnaden mellan omplanering några timmar innan leveranstimmen och anpassning av körscheman under själva leveranstimmen. Resultat av ytterligare en fallstudie uppvisar att det är betydligt billigare och mer effektivt att använda intradayhandel istället för intern omplanering för att utnyttja den befintliga flexibiliteten och för att reducera obalanser som systemoperatörer annars behöver ta hand om under leveranstimmen. Detta är en anledning till att undersöka handelsmönster på Elbas som är en intradaymarknad med kontinuerlig handel. En annan anledning till den här tredje delen är utmaningarna i att modellera kontinuerlig intradayhandel. Studien beskriver handelsaktiviteten på Elbas och hur priserna utvecklas under handelstiden. Ett resultat är att handeln inte alltid återspeglar den fysiska situationen i elsystemet. I den utsträckningen som ett snabbare informationsflöde och förändringar i marknadsdesignen kunde förbättrar aktörernas underlag för intradayhandel, föreslås förbättringar och öppna forskningsfrågor.

QC 20150911


Elektra 36141: Korttidsplanering av vatten-värmekraftsystem vid stora mängder vindkraft: System-perspektivet
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Boisseleau, François. "The role of power exchanges for the creation of a single European electricity market : market design and market regulation." Paris 9, 2004. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2004PA090012.

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Elizondo-González, Sergio Iván. "Market-based coordination for domestic demand response in low-carbon electricity grids." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28831.

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Efforts towards a low carbon economy are challenging the electricity industry. On the supply-side, centralised carbon-intensive power plants are set to gradually decrease their contribution to the generation mix, whilst distributed renewable generation is to successively increase its share. On the demand-side, electricity use is expected to increase in the future due to the electrification of heating and transport. Moreover, the demand-side is to become more active allowing end-users to invest in generation and storage technologies, such as solar photovoltaics (PV) and home batteries. As a result, some network reinforcements might be needed and instrumentation at the users’ end is to be required, such as controllers and home energy management systems (HEMS). The electricity grid must balance supply and demand at all times in order to maintain technical constraints of frequency, voltage, and current; and this will become more challenging as a result of this transition. Failure to meet these constraints compromises the service and could damage the power grid assets and end-users’ appliances. Balancing generation, although responsive, is carbon-intensive and associated with inefficient asset utilisation, as these generators are mostly used during peak hours and sit idle the rest of the time. Furthermore, energy storage is a potential solution to assist the balancing problem in the presence of non-dispatchable low-carbon generators; however, it is substantially expensive to store energy in large amounts. Therefore, demand response (DR) has been envisioned as a complementary solution to increase the system’s resilience to weather-dependent, stochastic, and intermittent generation along with variable and temperature-correlated electric load. In the domestic setting, operational flexibility of some appliances, such as heaters and electric cars, can be coordinated amongst several households so as to help balance supply and demand, and reduce the need of balancing generators. Against this background, the electricity supply system requires new organisational paradigms that integrate DR effectively. Although some dynamic pricing schemes have been proposed to guide DR, such as time of use (ToU) and real-time pricing (RTP), it is still unclear how to control oscillatory massive responses (e.g., large fleet of electric cars simultaneously responding to a favourable price). Hence, this thesis proposes an alternative approach in which households proactively submit DR offers that express their preferences to their respective retailer in exchange for a discount. This research develops a computational model of domestic electricity use, and simulates appliances with operational flexibility in order to evaluate the effects and benefits of DR for both retailers and households. It provides a representation for this flexibility so that it can be integrated into specific DR offers. Retailers and households are modelled as computational agents. Furthermore, two market-based mechanisms are proposed to determine the allocation of DR offers. More specifically, a one-sided Vickrey-Clarke-Groves (VCG)-based mechanism and penalty schemes were designed for electricity retailers to coordinate their customers’ DR efforts so as to ameliorate the imbalance of their trading schedules. Similarly, a two-sided McAfee-based mechanism was designed to integrate DR offers into a multi-retailer setting in order to reduce zonal imbalances. A suitable method was developed to construct DR block offers that could be traded amongst retailers. Both mechanisms are dominant-strategy incentive-compatible and trade off a small amount of economic efficiency in order to maintain individual rationality, truthful reporting, weak budget balance and tractable computation. Moreover, privacy preserving is achieved by including computational agents from the independent system operator (ISO) as intermediaries between each retailer and its domestic customers, and amongst retailers. The theoretical properties of these mechanisms were proved using worst-case analysis, and their economic effects were evaluated in simulations based on data from a survey of UK household electricity use. In addition, forecasting methods were assessed on the end-users’ side in order to make better DR offers and avoid penalties. The results show that, under reasonable assumptions, the proposed coordination mechanisms achieve significant savings for both end-users and retailers, as they reduce the required amount of expensive balancing generation.
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Tiwari, Sandeep S. M. Massachusetts Institute of Technology. "Impact of carbon emission regulatory policies on the electricity market : a simulation study." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61902.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 119-121).
With ever rising concerns regarding global warming and other dangerous effects of CO2 , there had been efforts to reduce CO2 emissions all around the world by adopting more efficient technologies and alternate green or carbon neutral fuels. However, these technologies require large investments and hence to make them economically viable there should be suitable incentives from the government in form of emission regulatory policies such as carbon taxation and carbon cap-and-trade policy. In this research, a simulation study was carried out to analyze the impact of different carbon emission regulatory policies including cap-and-trade policy and carbon taxation policy on the utilities of various stakeholders of the electricity market. An agent based simulation approach was used to model the market where each market stakeholder was represented as an autonomous agent. We use the simulation model to compare the effectiveness of cap-and-trade policy and taxation policy in achieving emission reduction targets. We observe significant windfall profit for electricity producers under the cap-and-trade policy. Therefore for the same emission level the cost to consumers is higher under cap-and-trade policy as compared to taxation policy. Our results suggest that cap-and-trade policy might be ineffective in emission reduction when the market is not fully efficient. Moreover the simplicity of Taxation model gives government a better control on emissions. Based on our study we recommend that the present model be extended to more efficient cap and trade mechanisms by incorporating multistage periods, auctioning of carbon emission permits and carbon emission permits banking.
by Sandeep Tiwari.
S.M.
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Federico, Giulio. "Essays in contract theory : applications to donor conditionality and to electricity market design." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391227.

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Fraunholz, Christoph [Verfasser], and W. [Akademischer Betreuer] Fichtner. "Market Design for the Transition to Renewable Electricity Systems / Christoph Fraunholz ; Betreuer: W. Fichtner." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1235072347/34.

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Kuri, Bless. "Sustainable generation mix as a reference in effective design of electricity market structures and rules." Thesis, University of Bath, 2006. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440360.

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Books on the topic "Electricity market design"

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United States. Congress. House. Committee on Government Reform. Subcommittee on Energy Policy, Natural Resources, and Regulatory Affairs. California Independent System Operator: Governance and design of California's electricity market : hearing before the Subcommittee on Energy Policy, Natural Resources, and Regulatory Affairs of the Committee on Government Reform, House of Representatives, One Hundred Seventh Congress, second session, February 22, 2002. Washington: U.S. G.P.O., 2003.

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Lopes, Fernando, and Helder Coelho, eds. Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74263-2.

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Lindboe, Hans Henrik, Björn Hagman, and Jesper Færch Christensen. Regional Electricity Market Design (Regional Electricity Market Design). Nordic Council of Ministers, 2016. http://dx.doi.org/10.6027/tn2016-540.

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Restructured Electricity Markets: California Market Design Enabled Exercise of Market Power. Diane Pub Co, 2003.

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Market Design for a High-Renewables Electricity System. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03936-257-8.

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Boisseleau, Francois. Role Of Power Exchanges For The Creation Of A Single European Electricity Market: Market Design & Market Regulation. Delft Univ Pr, 2004.

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Jones, Christopher, and Florian Ermacora. EU Energy Law Volume XII - Electricity Market Design in the European Union. Claeys & Casteels Publishing, 2020.

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US GOVERNMENT. California Independent System Operator: Governance and Design of California's Electricity Market: Hearing Before the Subcommittee on Energy Policy, Na. Government Printing Office, 2003.

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A Quantitative Analysis of the Effect of Market Design and Policy Uncertainty on Investment in Electricity Generation: A Reinforcement Learning Approach. Storming Media, 2000.

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Bankes, Nigel. Transitioning to a Lower Carbon Future. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822080.003.0016.

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This chapter discusses the legal and policy issues associated with adopting an aggressive transition to renewable and lower carbon fuels in Alberta’s electricity market. The chapter describes the evolution of Alberta’s electricity sector and restructuring that will involve the addition of a capacity market to supplement the existing energy only market. The chapter examines Canada’s international commitments with respect to the reduction of greenhouse gas emissions, coal phase-out, and developments in climate change and energy efficiency policy at both the federal level and for Alberta, which currently has a carbon-intensive energy mix. The chapter then presents Alberta’s current climate change policy and the Climate Leadership Plan, focussing on the implications of this policy for the electricity sector and for market design within that sector.
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Book chapters on the topic "Electricity market design"

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Gimpel, Henner, Lisa Hanny, Marion Ott, Jonathan Wagner, Martin Weibelzahl, Martin Bichler, and Steffi Ober. "Market Success: The Quest for the Objectives and Success Factors of Markets." In Market Engineering, 21–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66661-3_2.

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AbstractMarkets are an essential tool to coordinate complex systems. Engineering markets requires the consideration of numerous objectives and factors that will eventually determine the market’s success. These objectives and factors are frequently not well defined or elaborated. Hence, this chapter aims to support market design through a perspective on what determines market success. To this end, we review the literature, consider examples of market success and failure, and reflect on our ongoing work regarding future electricity market design. We provide a framework for market objectives and success factors with a focus on electricity markets. The framework could spur the identification of objectives and success factors of markets in other domains, and inform the engineering of future electricity markets.
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Wolak, Frank A. "Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison." In Pricing in Competitive Electricity Markets, 127–52. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4529-3_8.

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Buchholz, Bernd M., and Zbigniew Styczynski. "Design of the Smart Energy Market." In Smart Grids – Fundamentals and Technologies in Electricity Networks, 277–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45120-1_7.

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Garcia, Alfredo, Lamine Mili, and James Momoh. "Modeling Electricity Markets: A Brief Introduction." In Economic Market Design and Planning for Electric Power Systems, 21–44. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2009. http://dx.doi.org/10.1002/9780470529164.ch2.

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Chao, Hung-po, and Stephen Peck. "An Institutional Design for an Electricity Contract Market with Central Dispatch." In International Series in Operations Research & Management Science, 185–207. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5547-6_12.

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Fraunholz, Christoph, Andreas Bublitz, Dogan Keles, and Wolf Fichtner. "Impact of Electricity Market Designs on Investments in Flexibility Options." In The Future European Energy System, 199–218. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_11.

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AbstractAgainst the background of several European countries implementing capacity remuneration mechanisms (CRM) as an extension to the energy-only market (EOM), this chapter provides a quantitative assessment of the long-term cross-border effects of CRMs in the European electricity system. For this purpose, several scenario analyses are carried out using the electricity market model PowerACE. Three different market design settings are investigated, namely, a European EOM, national CRM policies, and a coordinated CRM. The introduction of CRMs proves to be an effective measure substantially shifting investment incentives toward the countries implementing the mechanisms. However, CRMs increase generation adequacy also in the respective neighboring countries, indicating that free riding occurs. A coordinated approach therefore seems preferable in terms of both lower wholesale electricity prices and generation adequacy.
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Hongdou, Ye, and Chen Xiaoxiao. "Logical Analysis and Enlightenment of Credit Management System Design in Electricity Market." In Intelligent Computing Theories and Application, 597–608. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60799-9_54.

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Li, Xian, and Cunbin Li. "Agent-Based Risk Simulation System Design Model for Generation-Side Electricity Market." In Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 1, 161–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35419-9_20.

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Luh, Peter B., Ying Chen, Joseph H. Yan, Gary A. Stern, William E. Blankson, and Feng Zhao. "Payment Cost Minimization with Demand Bids and Partial Capacity Cost Compensations for Day-Ahead Electricity Auctions." In Economic Market Design and Planning for Electric Power Systems, 71–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2009. http://dx.doi.org/10.1002/9780470529164.ch4.

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Gomes, Mário, Paulo Coelho, and José Fernandes. "Electricity Markets and Their Implications." In Microgrids Design and Implementation, 369–406. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98687-6_14.

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Conference papers on the topic "Electricity market design"

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O'Neill, Richard P. "Nonconvex electricity market design." In Energy Society General Meeting (PES). IEEE, 2009. http://dx.doi.org/10.1109/pes.2009.5275398.

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"Session 16: Electricity market design." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953079.

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Hadush, Samson, Patrik Buijs, and Ronnie Belmans. "Locational signals in electricity market design: Do they really matter?" In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953086.

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Gao, C., E. Bompard, R. Napoli, and J. Zhou. "Design of the electricity market monitoring system." In 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. IEEE, 2008. http://dx.doi.org/10.1109/drpt.2008.4523386.

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Oleinikova, Irina, and Artjoms Obushevs. "Market design for electricity ensuring operational flexibility." In 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG). IEEE, 2015. http://dx.doi.org/10.1109/powereng.2015.7266326.

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Li, Dezhi, and Yuting Liu. "Operation mechanism design Of China Electricity Market." In Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ammee-17.2017.40.

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Dong, Xiuming, Tiesong Hu, and Xinjie Li. "Simulating Power Supplier's Behavior in Electricity Market." In 2012 5th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2012. http://dx.doi.org/10.1109/iscid.2012.104.

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Frunt, Jasper, Ioannis Lampropoulos, and Wil L. Kling. "The impact of electricity market design on periodic network frequency excursions." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953073.

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Zhang, Xuan, Wentao Liu, Yuguo Chen, Yang Bai, Jialong Li, and Jin Zhong. "Electricity Market Design and Operation in Guangdong Power." In 2018 15th International Conference on the European Energy Market (EEM). IEEE, 2018. http://dx.doi.org/10.1109/eem.2018.8469826.

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Bilmanis, T., N. Daniello, S. Irfani, C. Robart, A. Garcia, and J. Lark. "Cournot model for Virginia's restructured electricity market." In Proceedings of the 2003 IEEE Systems and Information Engineering Design Symposium. IEEE, 2003. http://dx.doi.org/10.1109/sieds.2003.158000.

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Reports on the topic "Electricity market design"

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Poudineh, Rahmatallah, and Donna Peng. Electricity market design for a decarbonised future. Oxford Institute for Energy Studies, October 2017. http://dx.doi.org/10.26889/9781784670948.

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Gallo, Giulia. Electricity Market Manipulation: How Behavioral Modeling Can Help Market Design. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1233695.

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Xu, Zheng. The electricity market design for decentralized flexibility sources. Oxford Institute for Energy Studies, July 2019. http://dx.doi.org/10.26889/9781784671433.

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Cochran, Jaquelin, Mackay Miller, Michael Milligan, Erik Ela, Douglas Arent, Aaron Bloom, Matthew Futch, et al. Market Evolution: Wholesale Electricity Market Design for 21st Century Power Systems. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1260327.

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Billimoria, Farhad, Pierluigi Mancarella, and Rahmatallah Poudineh. Market design for system security in low carbon electricity grids. Oxford Institute for Energy Studies, June 2020. http://dx.doi.org/10.26889/9781784671600.

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Ela, E., M. Milligan, A. Bloom, A. Botterud, A. Townsend, and T. Levin. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1159375.

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Papalexopoulos, A., C. Hansen, D. Perrino, and R. Frowd. Modeling and Analysis of Wholesale Electricity Market Design. Understanding the Missing Money Problem. December 2013 - January 2015. Office of Scientific and Technical Information (OSTI), May 2015. http://dx.doi.org/10.2172/1215266.

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Role of Electricity Markets and Market Design in Integrating Solar Generation: Solar Integration Series. 2 of 3 (Brochure). Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/1013270.

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