Employing the new regression tests for Convergence, Club Convergence and Clustering proposed by Phillips and Sul (2007), this paper models and analyzes the behavior of China‘s energy sectors. Energy market ̳convergence clusters‘ are identified using new price data and their regional spatial distributions are mapped for four major fuel types; coal, gasoline, diesel and electricity. It is found t...

This paper addresses three questions that are relevant to integrating different regional transmission areas. Market integration normally increases the number of competitors and should therefore reduce prices but the first section shows that prices could rise when the number of generators initially increases. Regulatory effort will also be affected by market integration. If the number of generat...

Description Liberalised electricity markets represent a delicate equilibrium between regulatory targets to keep prices at acceptable levels and keeping prices high enough to ensure adequate return on investment for generation companies. From the viewpoint of the generation company, these capacity investment decisions are highly complex. Electricity prices are volatile which, instead of a guaran...

The paper adopts the Conjectural Variation model for investigating firms’ strategic behaviors in the wholesale electricity market. The aim of the proposed approach is providing market actors with a tool able to simulate the oligopolistic market models. The tool, utilized by a Generating Company (GenCo), permits to foresee the rivals’ behaviors and builds the suitable supply bid curve for its ow...

The global PV (photovoltaic) generation market has been rapidly growing. In the introduction of a PV system, the electricity generation efficiency of the PV system depends on regional factors and on-site installation factors. It has a significant effect on the returns on investment. Therefore, this study conducted a sensitivity analysis on how the impact factors of the rooftop PV system affect ...

In this paper, new Network Data Envelopment Analysis (NDEA) models are developed to evaluate the efficiency of regional electricity power networks. The primary objective of this paper is to consider perturbation in data and develop new NDEA models based on the adaptation of robust optimization methodology. Furthermore, in this paper, the efficiency of the entire networks of electricity power, i...

With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new electricity usage scheduling algorithm for smart buildings t...

Many states have adopted policies aimed at promoting the growth of renewable electricity within their state. The most salient of these policies is a renewable portfolio standard (RPS) which mandates that retail electricity providers purchase a predetermined fraction of their electricity from renewable sources. Renewable portfolio standards are a policy tool likely to persist for many decades du...

in the restructured environment of electricity market, firstly the generating companies and the customers are looking for maximizing their profit and secondly independent system operator is looking for the stability of the power network and maximizing social welfare. in this paper, a one way auction in the electricity market for the generator companies is considered in both perfect and imperfec...