The impact of intermittent renewables on the resource adequacy in electricity markets

2016 ◽  
Author(s):  
Hamid Aghaie
Keyword(s):  
Electricity Markets ◽  
The Impact

scholarly journals Investment Incentives in Competitive Electricity Markets

2018 ◽  
Vol 8 (10) ◽  
pp. 1978 ◽  
Author(s):  
Jaber Valinejad ◽  
Taghi Barforoshi ◽  
Mousa Marzband ◽  
Edris Pouresmaeil ◽  
Radu Godina ◽  
...  
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Planning Horizon ◽  
Optimization Method ◽  
Design Criterion ◽  
Mixed Integer ◽  
Investment Incentives ◽  
Mixed Integer Linear Program ◽  
Interconnected Power System ◽  
The Impact

This paper presents the analysis of a novel framework of study and the impact of different market design criterion for the generation expansion planning (GEP) in competitive electricity market incentives, under variable uncertainties in a single year horizon. As investment incentives conventionally consist of firm contracts and capacity payments, in this study, the electricity generation investment problem is considered from a strategic generation company (GENCO) ′ s perspective, modelled as a bi-level optimization method. The first-level includes decision steps related to investment incentives to maximize the total profit in the planning horizon. The second-level includes optimization steps focusing on maximizing social welfare when the electricity market is regulated for the current horizon. In addition, variable uncertainties, on offering and investment, are modelled using set of different scenarios. The bi-level optimization problem is then converted to a single-level problem and then represented as a mixed integer linear program (MILP) after linearization. The efficiency of the proposed framework is assessed on the MAZANDARAN regional electric company (MREC) transmission network, integral to IRAN interconnected power system for both elastic and inelastic demands. Simulations show the significance of optimizing the firm contract and the capacity payment that encourages the generation investment for peak technology and improves long-term stability of electricity markets.

Sensitivity Based Approach for Transmission Congestion Management Utilizing Bids for Generation Rescheduling and Load Curtailment

2006 ◽  
Vol 7 (4) ◽  
Author(s):  
Himanshu Kumar Singh ◽  
S.C. Srivastava ◽  
Ashwani Kumar Sharma
Keyword(s):  
Electricity Markets ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Hyperbolic Function ◽  
Flow Sensitivity ◽  
Fair Competition ◽  
Load Curtailment ◽  
The Impact

One of the most important tasks of System Operator (SO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action congestion management schemes, it is crucial for SO to select the most sensitive generators to re-schedule their real and reactive powers and the loads to curtail in extreme congestion management. This paper proposed the selection of most sensitive generators and loads to re-schedule their generation and load curtailment based on the improved line flow sensitivity indices to manage congestion. The impact of slack bus on power flow sensitivity factors has been determined to encourage fair competition in the electricity markets. Effect of bilateral and multilateral transactions, and impact of multi-line congestion on congestion cost has also been studied. The generators’ reactive power bid has been modeled by a continuous differentiable tangent hyperbolic function. The proposed concept of congestion management has been tested on a practical 75-bus Indian system and IEEE-118-bus test system.

The emerging threat of artificial intelligence on competition in liberalized electricity markets: A deep Q-network approach

2021 ◽  
Author(s):  
Danial Esmaeili Aliabadi ◽  
Katrina Chan
Keyword(s):  
Electricity Markets ◽  
Information Disclosure ◽  
End Users ◽  
Influential Factors ◽  
Bidding Strategies ◽  
Q Learning ◽  
Development Goals ◽  
Available Information ◽  
The Impact

Abstract BackgroundAccording to sustainable development goals (SDGs), societies should have access to affordable, reliable, and sustainable energy. Deregulated electricity markets have been established to provide affordable electricity for end-users through advertising competition. Although these liberalized markets are expected to serve this purpose, they are far from perfect and are prone to threats, such as collusion. Tacit collusion is a condition, in which power generating companies (GenCos) disrupt the competition by exploiting their market power. MethodsIn this manuscript, a novel deep Q-network (DQN) model is developed, which GenCos can use to determine the bidding strategies to maximize average long-term payoffs using available information. In the presence of collusive equilibria, the results are compared with a conventional Q-learning model that solely relies on past outcomes. With that, this manuscript aims to investigate the impact of emerging DQN models on the establishment of collusive equilibrium in markets with repetitive interactions among players. Results and ConclusionsThe outcomes show that GenCos may be able to collude unintentionally while trying to ameliorate long-term profits. Collusive strategies can lead to exorbitant electric bills for end-users, which is one of the influential factors in energy poverty. Thus, policymakers and market designers should be vigilant regarding the combined effect of information disclosure and autonomous pricing, as new models exploit information more effectively.

Robustness of Norway Economy and Energy Supply/Demand

2017 ◽  
Vol 8 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Alireza Aslani ◽  
Maryam Hamlehdar ◽  
Reza Saeedi
Keyword(s):  
Electricity Markets ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Energy Sector ◽  
Good Choice ◽  
Energy Utilization ◽  
Economic Stability ◽  
High Dependency ◽  
Strategic Role ◽  
The Impact

Energy has a strategic role in the social and economic development of the countries all over the world. Due to the high dependency on fossil fuels, fluctuations in prices and supply have macro/micro-economics effects for both energy exporters and importers. Therefore, understanding economic stability based on energy market changes is an important subject for policy makers and researchers. Norway, as a fossil fuel export country, is a good choice for the analysis of the relationships between the economics robustness and fossil fuel economics fluctuations. While the country is one of the pioneers in the field of sustainable energy utilization, they have tried to provide a robust economic situation for the oil exports revenues. In this article, the effects of energy changes on the economy are investigated in Norway. In this regard, first, the impact of oil price on macro-economic parameters is discussed. Afterwards, the main issues related to the energy economics including resilience of the energy sector, energy policies, economics analysis of the energy sector, and the electricity markets are discussed.

scholarly journals Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3310 ◽  
Author(s):  
Ignacio Blanco ◽  
Daniela Guericke ◽  
Anders Andersen ◽  
Henrik Madsen
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
District Heating ◽  
Operational Planning ◽  
Solution Approach ◽  
The Impact

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.

Are economists Kings? Economic evidence and discretionary assessments at the UK utility regulatory agencies

2020 ◽  
Author(s):  
Despoina Mantzari
Keyword(s):  
Decision Making ◽  
Electricity Markets ◽  
Political Action ◽  
Competition Law ◽  
Regulatory Agencies ◽  
Economic Regulation ◽  
Economic Evidence ◽  
Regulatory Decision ◽  
Trade Offs ◽  
The Impact

Abstract UK sectoral regulatory authorities are hybrid communities of, among others, lawyers and economists. Since the liberalization of essential services, expert economists enjoy broad discretionary powers in advancing the agencies’ broad statutory objectives. Yet, despite the significant societal impact of economic regulation, existing scholarship in the fields of competition law and regulation and public law has, with very few exceptions, disregarded these actors and the very essence of their work. This article aims to address this gap in the literature by blending theoretical with empirical insights deriving from 14 semi-structured elite interviews with regulatory economists in the regulatory agencies for energy (Office for Gas and Electricity Markets), telecoms (Office for Communications), and water (Office of Water Services). It explores the increased reliance on economics in the regulatory decision-making process and the impact this has had on the authorities’ decision-making and discretion, when making complex trade-offs between the various goals of the regulatory enterprise. In doing so, it puts forward a theoretical framework inspired by Craig Parsons’ typology of political action so as to identify and examine the nature and scope of the constraints that inform and shape the influence of economics in the exercise of regulatory discretion. This endeavour is significant in the sense that it is the first of its kind and, in that it provides a normative framework of analysis that can be applied in other areas of regulation heavily infused with and influenced by economic evidence and analysis, such as ‘pure’ competition law enforcement by both sectoral and competition authorities.

scholarly journals Considerations Regarding the Negative Prices on the Electricity Market

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 26
Author(s):  
Pavel Atănăsoae ◽  
Radu Dumitru Pentiuc ◽  
Eugen Hopulele
Keyword(s):  
Renewable Energy ◽  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Electricity Prices ◽  
Market Areas ◽  
The Impact ◽  
Market Coupling

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.

The impact of market design on transmission and generation investment in electricity markets

2021 ◽  
Vol 93 ◽  
pp. 104934
Author(s):  
Veronika Grimm ◽  
Bastian Rückel ◽  
Christian Sölch ◽  
Gregor Zöttl
Keyword(s):  
Electricity Markets ◽  
Market Design ◽  
The Impact

Measuring the Benefits of Greater Spatial Granularity in Short-Term Pricing in Wholesale Electricity Markets

2011 ◽  
Vol 101 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Frank A Wolak
Keyword(s):  
Natural Gas ◽  
Electricity Markets ◽  
Electricity Market ◽  
Short Term ◽  
Locational Marginal Pricing ◽  
Marginal Pricing ◽  
Before And After ◽  
Natural Gas Prices ◽  
The Impact ◽  
Generation Unit

Hourly generation unit-level output levels, detailed information on the technological characteristics of generation units, and daily delivered natural gas prices to all generation units for the California wholesale electricity market before and after the implementation of locational marginal pricing are used to measure the impact of introducing greater spatial granularity in short-term energy pricing. The average hourly number of generation unit starts increases, but both the total hourly energy consumed and total hourly operating costs for all natural gas-fired generation units fall by more than 2 percent after the implementation of locational marginal pricing.

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