scholarly journals Essays on the Interaction  Between Risk and Market  Structure in Electricity  Markets

2021 ◽  
Author(s):  
◽  
Gabriel Godofredo Fiuza de Braganca

<p>This thesis proposes a new framework to jointly analyze electricity spot market and hedging decisions in an oligopolistic setup. Firstly, we find that, when exogenous, both quantity of electricity hedged by contract and vertical integration decrease the equilibrium spot price. Secondly, we use a hybrid approach and show that market structure can affect a generator’s decision to vertically integrate under uncertain demand. Thirdly, we consider uncertainty in costs and demand and show that concentration in the spot market, for a given hedge quantum, can increase forward prices and affect the slope of the forward curve. Our empirical results indicate that the model fits the New Zealand electricity market well. This evidence that market structure and hedging decisions are closely connected is further explored in a three period equilibrium model for the spot and forward markets, where hedging occurs prior to the submission of supply curves. Taking into account demand-side and supply-side uncertainties, we find that when hedging is endogenous, hedging quantities are affected by spot market parameters, but market power is itself mitigated in the conscious hedging choice of generators. We also show that forward markets can coexist with highly vertically integrated markets. The importance of our results is general. Our models can be used by policy makers to analyze investment and forward price implications of changes in the spot market structure. Our results also indicate that electricity generators, in equilibrium, face a trade-off between market power and hedging. Given that it is socially beneficial to manage risk, the equilibrium impact of their choices on welfare should not be considered in isolation by competition authorities.</p>

2021 ◽  
Author(s):  
◽  
Gabriel Godofredo Fiuza de Braganca

<p>This thesis proposes a new framework to jointly analyze electricity spot market and hedging decisions in an oligopolistic setup. Firstly, we find that, when exogenous, both quantity of electricity hedged by contract and vertical integration decrease the equilibrium spot price. Secondly, we use a hybrid approach and show that market structure can affect a generator’s decision to vertically integrate under uncertain demand. Thirdly, we consider uncertainty in costs and demand and show that concentration in the spot market, for a given hedge quantum, can increase forward prices and affect the slope of the forward curve. Our empirical results indicate that the model fits the New Zealand electricity market well. This evidence that market structure and hedging decisions are closely connected is further explored in a three period equilibrium model for the spot and forward markets, where hedging occurs prior to the submission of supply curves. Taking into account demand-side and supply-side uncertainties, we find that when hedging is endogenous, hedging quantities are affected by spot market parameters, but market power is itself mitigated in the conscious hedging choice of generators. We also show that forward markets can coexist with highly vertically integrated markets. The importance of our results is general. Our models can be used by policy makers to analyze investment and forward price implications of changes in the spot market structure. Our results also indicate that electricity generators, in equilibrium, face a trade-off between market power and hedging. Given that it is socially beneficial to manage risk, the equilibrium impact of their choices on welfare should not be considered in isolation by competition authorities.</p>


2020 ◽  
Vol 185 ◽  
pp. 01017
Author(s):  
Sen Wang ◽  
Can Sun ◽  
Zhiyong Gan ◽  
Liansheng Zhou ◽  
Guilin Wang ◽  
...  

With the development of China’s electricity spot market, planned power and market power will coexist for a long time. At the same time, by avoiding the risk of market price fluctuation through medium and long-term market, spot market guarantees electricity balance and secure operation of the grid. The electricity market mechanism has an increasingly large influence on the operation and dispatching model of power system. In spot market, decoupling operation model of market and non-market power has a large influence on both supply and demand sides and improper dredging mechanism may cause significant settlement deviation. To solve this problem, the paper, taking a city in northern China as an example, analyzes the electricity spot market, compares the sources of difference fund of market and non-market power under decoupling and non-decoupling models and compares the pros and cons of coupling and decoupling. The paper also studies the disparity of difference fund and proposes advice adapted to the electricity spot market development of northern China.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6741
Author(s):  
Dzikri Firmansyah Hakam ◽  
Sudarso Kaderi Wiyono ◽  
Nanang Hariyanto

This research optimises the mix and structure of Generation Companies (GenCos) in the Sumatra power system, Indonesia. Market power, indicating the ability to raise prices profitably above the competitive level, tends to be a significant problem in the aftermath of electricity market restructuring. In the process of regulatory reform and the development of competitive electricity markets, it is desirable and practical to establish an efficient number of competitor GenCos. Simulations of a power system account for multi-plant mergers of GenCos subject to a regulatory measure of the Residual Supply Index and the influence of direct current load flow and the topology of the system. This study simulates the Sumatra power system in order to determine the following: optimal market structure, efficient GenCo generation mix, and the optimal number of competitive GenCos. Further, this study seeks to empirically optimise the electricity generation mix and electricity market structure of the Sumatra power system using DC load flow optimisation, market power index, and multi-plant monopoly analysis. The simulations include generation and transmission constraints to represent network constraints. This research is the first to analyse the Sumatra power system using imperfect (Cournot) competition modelling. Furthermore, this study is the first kind to optimise the mix and structure of the Sumatra generation power market. The guidelines and methodology in this research can be implemented in other countries characterised by a monopoly electricity utility company.


Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2974 ◽  
Author(s):  
Pedro Frade ◽  
João Vieira-Costa ◽  
Gerardo Osório ◽  
João Santana ◽  
João Catalão

Overtime, in the electricity sector, there has been a technological transfer to renewable electricity generation. With this change, processes, in the economic and availability terms, are expected to improve. In this new paradigm, society demands electricity without an impact on the environment and with the lowest possible cost. The wind power (WP) integration appears in this evolution process by achieving important technological advances, supporting in 2017 a growth of 44% of new projects in Europe, higher than any other renewable technology. However, the renewable energy sources (RES) integration in the electricity networks still presents technical difficulties and challenges, leading to challenges in the electricity markets (EMs). Therefore, this work evaluates the importance of WP and its influence on the Iberian Electricity Market (MIBEL), at the level of the intraday electricity spot market (IESM). This is an innovative study because literature usually focuses on day-ahead WP impact and this study focuses on intraday markets, which are closer to the consumption periods. The goal was to make an analysis on the impacts when betting on WP sources, in order to improve the market interaction with WP integration, considering as criteria the consumer satisfaction, in terms of lower electricity prices and WP availability. For this study, the market bids registered by the Iberian Electricity Market Operator (OMIE), from 2015 to 2017, ran over a new market simulator, specially developed for this proposal, considering a virtual market condition, but not considering the bids made by WP producers. The comparison of the results allowed the evaluation of the WP influence on the EM quantitative, which is noteworthy.


2007 ◽  
Vol 6 (3) ◽  
Author(s):  
José A. García ◽  
James D. Reitzes

We review the different market monitoring and market-power mitigation policies that arise in world electricity markets. Regulators for electricity markets apparently respond to differences in underlying market structure and design features when choosing between ex-ante (that is, rule-based) behavioral restrictions as opposed to ex-post enforcement (that is, investigations and sanctions) as the principal means for deterring abuses of market power. Particular design features that influence market-monitoring policies are whether the market is one-part (energy only) versus two-part (energy and capacity), and whether there is centralized or bilateral trading. Information-disclosure requirements also are a key element of market monitoring.


Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2068 ◽  
Author(s):  
Alberto Orgaz ◽  
Antonio Bello ◽  
Javier Reneses

The work presented in this article proposes an original method that models the medium-term market equilibrium under imperfect competition circumstances in multi-area electricity systems. It provides a system analysis considering multiple market splitting possibilities, where local market power may appear according to the status of the interconnections. As a result of new policies and regulations, power systems are increasingly integrating the existing electricity markets in unified frameworks. The integration of electricity markets poses highly challenging tasks due to the uncertainty that comes from the agents’ strategic behaviors which depend on multiple factors, for instance, the state of the interconnections. When it comes to modeling these effects, the purpose is to identify each strategy by using conjectured-price responses that depend on the different states of the system. Consequently, the problem becomes highly combinatorial, which heightens its size as well as its complexity. Therefore, the purpose of this work’s methodology is the reduction of the possible network configurations so as to ensure a computational tractability in the problem. In order to validate this methodology, it has been put to the test in a realistic and full-scale two-year operation planning model of the European electricity market that consists of a group of nine countries.


Author(s):  
M T Meszaros ◽  
S O Bade Shrestha

This article builds a simulation model to analyse the effect of a change in the main policy variables of the British Renewable Obligation System, i.e. how the increase in the minimum requirement of green electricity can affect the prices and quantities in the electricity market under oligopoly market structure. The results show that the increasing quota obligation increases the price of electricity. The outcomes of this computational model emphasize the importance of the capacity limit which can constrain the market power and increase the competition in the market. In addition, the simulation shows that the integration of fossil-fuel and renewable producers has very small effect on production and prices because of the capacity limits.


2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Heni BOUBAKER ◽  
SOUHIR BEN AMOR ◽  
Hichem Rezgui

This study investigates the performance of a novel neural network technique in the problem of price forecasting. To improve the prediction accuracy using each model’s unique features, this research proposes a hybrid approach that combines the -factor GARMA process, empirical wavelet transform and the local linear wavelet neural network (LLWNN) methods, to form the GARMA-WLLWNN process. In order to verify the validity of the model and the algorithm, the performance of the proposed model is evaluated using data from Polish electricity markets, and it is compared with the dual generalized long memory -factor GARMA-G-GARCH model and the individual WLLWNN. The empirical results demonstrated the proposed hybrid model can achieve a better predicting performance and prove that is the most suitable electricity market forecasting technique.


2020 ◽  
Vol 185 ◽  
pp. 01029
Author(s):  
Sen Wang ◽  
Shuai Zhao ◽  
Liansheng Zhou ◽  
Zhiyong Gan ◽  
Changzhi Zhang ◽  
...  

Successive development of China’s power spot market has subjected the operation and dispatching mode of the existing power system to an increasingly greater influence imposed by the electricity market mechanism. In China’s northern provinces requiring winter heating, it is a huge challenge to the trading mechanism of power spot market to simultaneously guarantee the safe operation of power system and the heating mode of heating unit. To address this issue, this paper analyses the operation conditions and problems of power spot market during winter heating in northern China. Based on the analysis of the power spot market in a northern city, This paper analyzes some crucial problems in the construction of spot market and sums up policy advice for the further construction of spot market adapted to direct electricity purchase by large consumers in northern China.


2015 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Helga Zogolli

The motivation for electricity liberalization differs slightly between countries; however most of the countries share common ideological and political reasons regarding disaffection with the vertically integrated monopoly model of the past and a strong belief that the success of liberalization in other industries can be repeated for the electricity industry. The introduction of competition in the electricity industry has been justified by the perceived benefits of introducing market forces in an industry previously viewed as a natural monopoly with substantial vertical economies. Therefore the motivation behind electricity liberalization is to promote in the long run efficiency gains, to stimulate technical innovation and to lead to efficient investment.First the project is reviewing from the literature, the available information on market power monitoring in electricity markets. There are briefly explained definitions, strategies, indices and methods of mitigating market power as well as the several methods of detecting market power used from market monitors/regulators. After, the general features of the electricity industry are presented briefly as background for the analysis. The main aspects of the liberalization process of this industry and the role it has played in the creation of PX-s is described.


Sign in / Sign up

Export Citation Format

Share Document