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"Market Coupling'' is currently seen as the most advanced market design in the restructuring of the European electricity market. Market coupling, by construction, introduces what is generally referred to as an incomplete market: it leaves several constraints out of the market and hence avoids pricing them. This may or may not have important consequences in practice depending on the case on hand. Quasi-VariationalInequality problems and the associated Generalized Nash Equilibrium can be used for representing incomplete markets. Recent papers propose methods for finding a set of solutions of Quasi-Variational Inequality problems. We apply one of these methods to a subproblem of market coupling namely the coordination of counter-trading. This problem is an illustration of a more general question encountered for instance in hierarchical planning in production management. We first discuss the economic interpretation of the Quasi-Variational Inequality problem. We then apply the algorithmic approach to a set of stylized case studies in order to illustrate the impact of different organizations of counter-trading. The paper emphazises the structuring of the problem. A companion paper considers the full problem of market coupling and counter-trading and presents a more extensive numerical analysis.

EU power market design has been focused on facilitating trading between countries and for this has defined interfaces for market participants and TSOs between countries. The operation of power systems and markets within countries was not the focus of these developments. This may have contributed to difficulties of defining or implementing a common perspective in particular on intraday and balancing approaches. This motivated us to pursue an in depth reviewof six European power markets to contribute to a better understanding of the common elements, differences and the physical and institutional reasons for these. With this paper we aim to present the main insights emerging from the reviews and to identify where there is a need for alignment of operational aspects and short-term trading arrangements, taking into account system requirements individual member states face in operating their power system.

In this paper we investigate the economic impacts of the European Emission Trading Scheme (EU-ETS) on the Italian electricity market by a power generation expansion model. In particular, we assume that generators make their capacity expansion decisions in a Cournot or in a perfect competition manner. This model is used to measure the effects of the EU-ETS Directives on electricity prices and demand, investments and generators' profits both in an oligopolistic and in a perfectly competitive organization of the power market. We adopt a technological representation of the energy market which is discretized into six geographical zones (North, Center-North, Center-South, South, Sicily, Sardinia) and five virtual poles (Monfalcone, Foggia, Brindisi, Rossano, Priolo) with limited production for a total of eleven zones. We assume that generators operate in different zones connected by interconnections with limited capacity and produce energy by running existing or new plants in which they directly invest. We consider several investment scenarios under the CO2 regulation with and without incentives to renewables. The scenarios also include simulations on future effects of the third EU-ETS phase on the system. Our analysis shows that perfect competition induces generators to invest more than in an oligopolistic framework, but in both market configurations, investments are mainly concentrated in fossil-red plants (CCGT and coal), leaving a small proportion to new wind plants. This happens also in presence of incentives given to renewable technologies. We can thus conclude that investments in a secure and efficient technology like CCGT are preferable compared to those in renewables that cannot be used with continuity. This investment policy affects electricity prices that significantly increase in 2020 compared to their 2009 levels. The raise of electricity prices in 2020 is particularly favorable for generators operating as Cournot players which are able to increase their profits compared to 2009, despite the full auctioning system foreseen for the allocation of CO2 allowance to the power sector in the third EU-ETS phase. The solution of the overall system is found by exploiting the mixed complementarity theoretical framework and solution algorithms. The developed model is implemented as complementarity problems and solved in GAMS using the PATH solver.

Cross-border trade remains a contentious issue in the restructuring of the European electricity market. Difficulties stem from the lack of a common market design, the separation between energy and transmission markets and the insufficient coordination between Transmission System Operators (TSOs). This paper analyzes the cross-border trade problem through a set of models that represent different degrees of coordination both between the energy and transmission markets and among national TSOs.We first present the optimal organisation, not implemented in Europe, where energy and transmission are integrated according to the nodal price paradigm and Power Exchanges (PXs) and TSOs are integrated. This is our reference case. We then move to a more realistic representation of the European electricity market based on the so-called market-coupling design where energy and transmission are operated separately by PXs and TSOs. When considering different degrees of coordination of the national TSOs’ activities, we unexpectedly find that some arrangements are more efficient than the lack of coordination might suggest. Specifically we find that even without a formal coordination of the TSOs’ counter-trading operations, non discriminatory access to common counter-trading resources for all TSOs may lead to a partial implicit coordination of these TSOs. In other words, an internal market of counter-trading resources partially substitutes the lack of integration of the TSOs. While a full access to counter-trading resources is a weaker requirement than the horizontal integration of the TSO, it is still quite demanding. We show that quantitative limitations to the access of these resources decrease the efficiency of counter-trading. The paper supposes price taking agents and hence leaves aside the incentive to game the system induced by zonal systems.

The progressive relocation of part of the Energy Intensive Industries (EIIs) out of Europe is one of the possible consequences of the combination of emission charges and higher electricity prices entailed by the EU-Emission Trading Scheme (EU-ETS). In order to mitigate this effect, EIIs have asked for special power contracts whereby they would be supplied from dedicated power capacities at average (capacity, fuel, transmission and emission allowance) costs. We model this situation on a prototype power system calibrated on four countries of Central Western Europe. In order to capture the main feature of EIIs' demand, we separate the consumer market in two segments: EIIs and the rest. EIIs buy electricity at average cost price while the rest pays marginal cost. We consider two different types of EIIs' contractual arrangements: a single region wide and zonal average cost prices. We also analyze the cases where generators only rely on existing capacities or can invest in new ones. We find that these average cost contracts can indeed partially mitigate the incentive to relocate activities but with quite diverse regional impacts depending on different national power policies. Models are formulated as a non-monotone complementarity problems with endogenous energy, transmission and allowance prices and are implemented in GAMS.

Carbon leakage in this pape ris the phenomenon whereby Electricity Intensive Industries subject to harsh environmental standards move their activity or part of it to more environmentally lenient regions. Carbon leakage has been mentioned as a possible outcome of the EU Emission Trading Scheme. Different studies are underway to assess the reality of the phenomenon and to devise policies to mitigate its possible impact. One remedy, proposed by the Energy Intensive Industries is to combine free emission allowances with a pricing of electricity whereby energy émissions and transmission costs are bundled and sold on an average cost basis. The paper attempts to model this proposal. We cast the problem in a spatial model of the power sector where generators can develop new capacities, the transmission system is organized on a flowgate basis, emission allowances are auctioned, except possibly for industries, and traded. The consumer market is decomposed in two segments. Industries purchase electricity according to some form of average cost price, the rest of the market is supplied at marginal cost. These equilibrium models are non convex. We present the models and discuss their properties. Companion papers report policy implications.

The inception of the Emission Trading System in Europe (EU-ETS) has made power price more expensive. This affects the competitiveness of electricity intensive industrial consumers and may force them to leave Europe. Taking up of a proposal of the industrial sector, we explore the possible application of special contracts, based on the average cost pricing system, which would mitigate the impact of CO2 cost on their electricity price. The model supposes fixed generation capacities. A companion paper treats the case with capacity expansion. We first consider a reference model representing a perfectly competitive market where all consumers (households and industries) are price-takers and buy electricity at the short-run marginal cost. We then change the market design assuming that large industrial consumers pay power either at a single or at a nodal average cost price. The analysis of these problems is conducted with simulation models applied to the Northwestern European market. The equilibrium models developed are implemented in the GAMS environment.