Satoru Niioka

Evaluation and allocation of supply reliability cost in electricity market

Reliability cost allocation strategy under partly liberalized generation markets is proposed. In a liberalized market, which includes many generation companies and customers, it is a significant issue to keep the supply reliability for the customers. In the proposed method, as an index, EUP (expected unserved energy) is applied to evaluate the system supply reliability, and reliability cost for the system is allocated to customers based on their desirable EUP value, which indicates the reliability level of customers. Additional cost arising from operations to satisfy the requirements of each customers supply reliability is also investigated. The effectiveness of the proposed method is verified through several simulation studies using a test system.

Electricity pricing and load dispatching in deregulated electricity market

A rapid move to a market-based electric power industry will significantly alter the structure of electricity pricing and system operation. In this paper, we consider a game of negotiation in the electricity market, involving electric utilities, independent power producers (IPPs) and large-scale customers. We analyze the two-level game strategies for the negotiation process between utilities, IPPs and customers. These have been previously recognized as a way to come up with a rational decision for competitive markets, in which players intend to maximize their own profits. The derived operation rules based on competition can be viewed as an extension of the conventional equal incremental cost method for the deregulated power system. The proposed approach was applied to several systems to verify its effectiveness.

TCSC Controller Design Based on Output Feedback Control with Linear Matrix Inequality

Abstract The authors aim at designing the fast responsible and robust stabilizing controller. Recently, many researches propose robust stabilizing compensators based on H∞ control theory. Especially, the LMI (Linear Matrix Inequality) solving efficient convex problems is very effective. LMI is based on a linear function composed by matrices, and it is expansion of conventional H∞ control. In addition to the LMI approach, authors pay attention to the output-feedback control for stabilizing a system using observable output values.This paper presents a stabilizing control using measurable values by using the output-feedback method. In order to discuss the advantage of the proposed method, 3-machine 9-bus system is used. Moreover, this system is applied TCSC (Thyristor Controlled Series Capacitor) controllers, and H∞ control based on the LMI is proposed for the design method of TCSC controllers to attain the robust stability.

Decentralized Stabilizing Control Based on H-Infinity Control Theory Making Use of LMI

Abstract In this paper, two decentralized controller designs based on H∞ control theory are presented. In this controller design, LMI (Linear Matrix Inequality) is applied to obtain feedback gains for state feedback control. For an optimal linear regulator design, an index function of the quadratic form must be chosen. The question of how to decide weighting matrix in the quadratic index function used in Riccati equation arises. The problem is transformed into a pole allocation problem by making use of LMI. The effectiveness of the proposed method is shown by numerical simulations on a test system.