Decentralized approach for electric generating system development — Energy supply-social siting concern interaction

Abstract

In view of the recent essentially important situation of the siting problem of the electric power plant, the present paper presents a decentralized optimization model for the electric generating system development with special emphasis on the interaction analysis of the electric supply, the energy resource supply and the social siting concern.

Following the interperiod electric generating capacity balance of a linear difference equation, a social preference measure is firstly investigated to quantify and evaluate the social siting concern mainly about the environmental impact from the power plant site. In the sense of social siting concern, the measure provides comparative standard to alternative plant types for the policy decision of the generating system development. By defining the social concern evaluation index as a function of the measure and the electric supply-demand evaluation index as a function of electricdemand deviation from supply, the development problem is then clearly formulated under capital and energy resource supply restrictions as a decentralized model with resource allocation concept, where the parametric solution plays a fundamental role. The model presupposes the possible electric supply shortage and evaluates the effects of the social concern on the electric supply-demand relation and on the energy resource allocation. The distinctive feature of the model is in permitting the regional participation in the generating system development through the social preference measure, pursuing the effective resource allocation policy. A simulation study is illustrated for the investigation of the model.