Liu Jichun

Market Mechanism Design for Renewable Energy based on Risk Theory

Generation trading between renewable energy and thermal power is an efficient market means for transforming supply structure of electric power into sustainable development pattern. But the trading is hampered by the output fluctuations of renewable energy and the cost differences between renewable energy and thermal power at present. In this paper, the external environmental cost (EEC) is defined and the EEC is introduced into the generation cost. At same time, the incentive functions of renewable energy and low-emission thermal power are designed, which are decreasing functions of EEC. On these bases, for the market risks caused by the random variability of EEC, the decision-making model of generation trading between renewable energy and thermal power is constructed according to the risk theory. The feasibility and effectiveness of the proposed model are verified by simulation results.

A model for analyzing transaction price volatility of generation rights trade market based on cellular automata and complex network theories

For the researches on the relationship between the influence factors of the generation rights transaction price and the price volatility are very few, the effects of individual behavior on the price volatility of generation rights trade market are studied in this paper based on cellular automata (CA) and complex networks (CN) theories. Firstly, the CA model of generation rights trade market is proposed. Then, the behavior model of the generation rights trader forecasting the coal price trends is constructed based on CN theory. At last, depending on the above two models, combining the transformation rules of generation rights trade CA with the behavior model, the model for analyzing the price volatility of generation rights trade market is established. The simulation results show that the individual behavior is an important factor of causing price volatility of generation rights trade market. It is verified that the relationship between the individual behavior and the price volatility of generation rights trade market can be depicted clearly by the proposed model, and it provides a new method for constructing the model of influence factors of power generation rights trade market by complex system theories.

The Determination of Fair Assigned Security Price for a Given Market Participant in Deregulated Power System

Regulated power systems not only were built with excess capacity, but also operated with conservative security limits. But under deregulated environment, the requirement of maintaining security and maximizing the return on existing investments becomes one typical antinomy, resulting in operating the system closer to the traditional deterministic limits or even beyond them by assuming that the contingencies may not actually occur. This fact requires more refined methods for power system security proper assessment and fair distribution that account for the probabilistic nature of uncertain variables in the decision-making environment. This paper presents a framework of fair assigned security price for a given market participant which firstly contains two comprehensive pricing methods for quantifying the transmission security cost based on risk analysis and voltage stability constrained OFF market models for comparison. In the later method, this paper next distributes the security cost equitably to all participants based on the impact of their transactions on the ATC, which is calculated by using continuation power flow (CPF) or OPF approaches and should consider thermal, voltage and stability limits with N-1 contingency criteria. The nodal security price can be attained finally. All above-mentioned approaches are illustrated by evaluating the results of an experiment that simulates a full AC network with 6 buses, three of which are generators