Framework Design for Deregulated Electricity Market based on the decentralized Simulation Environment

20世纪80年代以来，电力市场出现了放松管制的趋势，部分原因是人们预期引入联合市场可以提高电力公司的竞争力，并降低电价。然而，通过加州电力危机，我们很好地理解了池市场原则有时会导致投资谨慎和由此产生的价格波动。一般来说，处于局部垄断市场的电力公司可以很容易地投资于发电厂以满足电力需求，而电力行业的放松管制不可避免地增加了投资的风险。此外，在战略投资中没有制定足够激励的规则。电力市场放松管制下的电力供应稳定是电力市场放松管制框架的重要要求。本研究旨在建立解除管制的电力市场模拟模型，并提出适当的市场规则设计方法，以稳定电价。自由化市场的市场机制需要在利益相关者的各种决策算法下稳定市场。然而，严格的市场规则阻碍了利益相关者参与交易。所提出的设计方法可以避免在已准备好的决策算法集下的不稳定行为。市场规则的确定是为了使市场价格的稳定性等可取指标最大化。通过仿真研究验证了该方法的有效性。

The deregulation trend in the electric power market since 1980's is partly due to the anticipation that introducing a pool market boosts the power companies' competitiveness and also lowers the electricity prices. Through California Electricity Crisis, however, it has been well understood that a pool market principle sometimes leads to the investment circumspection and the resultant price fluctuation. In general, power companies in the locally-monopolized market can easily invest in power-generation plants so as to meet the power demand, and the deregulation of the power industry inevitably makes the investment more risky. Furthermore, there have been invented no rules for making sufficient incentives in strategic investment. Stabilization of the power supply under the deregulated power market is an important requirement for the deregulated framework of the power market.This study aims to develop a simulation model of the deregulated power market and to propose the design method for the appropriate market rules that can stabilize the power prices. The market mechanism for the liberalized market needs to stabilize the market under variety of decision-making algorithms of stakeholders. However the strict market rules prevent stakeholders from joining the trading. The proposed design method may avoid the undesirable unstable behavior under the prepared decision-making algorithm-sets. The market rule is decided so that the desirability indicator such as the stability of the market price may be maximized. The effectiveness of the proposed method was demonstrated through the simulation study.