Two-stage joint equilibrium model of electricity market with tradable green certificates

2018 ◽  
Vol 41 (6) ◽  
pp. 1615-1626 ◽  
Author(s):  
Xuena An ◽  
Shaohua Zhang ◽  
Xue Li ◽  
Dajun Du

Renewable portfolio standard (RPS) with tradable green certificate (TGC) scheme has important influences on the market equilibrium outcomes and generation firms’ strategic behaviors. The main objective of this paper is to investigate that under the RPS with TGC scheme, who and how to exercise the market power, and to what extent market powers are exercised in the electricity wholesale and TGC markets. This is achieved by firstly proposing a two-stage joint equilibrium model based on the oligopolistic competition equilibrium theory. The model is then formulated as an equilibrium problem with equilibrium constraints (EPEC) by using the backward induction method, which is further solved by the nonlinear complementarity approach. Finally, simulation results show that renewable firms tend to withhold some of TGCs to raise the TGC prices when the RPS is relatively low, otherwise they choose to cut down their electricity output to reduce the volume of TGC and raise the TGC price. Moreover, facing the increasing TGC price, fossil fuel firms tend to withhold their electricity output to decrease the demand of TGCs and lower the TGC price. This study has meaningful implications for design of the electricity markets with TGC market.

2021 ◽  
Author(s):  
Mihály Dolányi ◽  
Kenneth Bruninx ◽  
Jean-François Toubeau ◽  
Erik Delarue

In competitive electricity markets the optimal trading problem of an electricity market agent is commonly formulated as a bi-level program, and solved as mathematical program with equilibrium constraints (MPEC). In this paper, an alternative paradigm, labeled as mathematical program with neural network constraint (MPNNC), is developed to incorporate complex market dynamics in the optimal bidding strategy. This method uses input-convex neural networks (ICNNs) to represent the mapping between the upper-level (agent) decisions and the lower-level (market) outcomes, i.e., to replace the lower-level problem by a neural network. In a comparative analysis, the optimal bidding problem of a load agent is formulated via the proposed MPNNC and via the classical bi-level programming method, and compared against each other.


2007 ◽  
Vol 18 (2) ◽  
pp. 207-231 ◽  
Author(s):  
Pablo del Río

Quotas with Tradable Green Certificates (TGC) schemes have generally been regarded as an effective and cost-efficient way to promote electricity from renewable energy sources (RES-E). The theoretical analysis of the effectiveness and cost-effectiveness of TGC schemes has traditionally taken place assuming perfect competition in, both the electricity and TGC markets. However, these markets may not approach the conditions of a perfectly competitive market. This paper analyses the influence of market power in, both, the TGC and electricity markets on RES-E deployment, cost-effectiveness and cost distribution. The major conclusion is that market power should not be a concern. Market power does not affect the effectiveness of a quota with TGC system, i.e., it does not affect RES-E deployment, although market power on the supply side of markets may negatively affect the cost-effectiveness of the system and increase the cost burden for electricity consumers.


Author(s):  
Yanming Sun ◽  
Lin Zhang

Tradable green certificate (TGC) systems are increasingly used to promote renewable energy generation and mitigate greenhouse gas emissions. In this paper, we investigate the performance of the optimal renewables policy under full separation and full integration scenarios for two countries with TGCs. Our analysis suggests that under full separation, one country’s optimal renewable quota, which maximizes its own welfare, is strategically substitutional for the other country’s in a Cournot Nash equilibrium of the monopolistic market, when cross-border pollution exists. A country tends to become the “leader” in the market by using an information advantage to gain higher welfare. Using geometric illustrations we demonstrate the possibility that a potentially fully integrated electricity market under a TGC system can improve welfare for each country, when compensation between the countries is possible. From a policy point of view, this is significant in support of the demand for a convergence of national renewable policy schemes, where countries cooperate on solving cross-border environmental problems.


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