The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform

Jay Zarnikau - One of the best experts on this subject based on the ideXlab platform.

  • energy efficiency programs in a Restructured Market the texas framework
    The Electricity Journal, 2015
    Co-Authors: Jay Zarnikau, Steve N Isser, Amy Martin
    Abstract:

    The past 15 years of experience in Texas suggests that utility-administered energy efficiency programs can succeed in cost-effectively meeting modest energy efficiency goals in an electricity Market that has been Restructured to introduce retail competition. However, many changes to this framework would be required to enable Texas to meet the more aggressive goals suggested by federal greenhouse gas emissions policy proposals.

  • demand participation in the Restructured electric reliability council of texas Market
    Energy, 2010
    Co-Authors: Jay Zarnikau
    Abstract:

    Abstract Does an electricity Market which has been Restructured to foster competition provide greater opportunities for demand response than a traditional regulated utility industry? The experiences of the Restructured Electric Reliability Council of Texas (ERCOT) Market over the past eight years provide some hope that it is possible to design a competitive Market which will properly value and accommodate demand response. While the overall level of demand response in ERCOT is below the levels enjoyed prior to restructuring, there have nonetheless been some promising advances, including the integration of demand-side resources into competitive Markets for ancillary services. ERCOT's experiences demonstrate that the degree of demand participation in a Restructured Market is highly sensitive to the Market design. But even in a Market which has been deregulated to a large degree, regulatory intervention and special demand-side programs may be needed in order to bolster demand response.

  • did the expiration of retail price caps affect prices in the Restructured texas electricity Market
    Energy Policy, 2009
    Co-Authors: Linhong Kang, Jay Zarnikau
    Abstract:

    On January 1, 2007, the Electric Reliability Council of Texas (ERCOT) Market became the first Restructured Market in the US to completely remove caps on the prices which could be charged to residential energy consumers by the retailers associated with the traditional or incumbent utility service providers. Our analysis suggests that the expiration of the price-to-beat (PTB) price caps may have led to a reduction in the average prices charged by competitive retail electric providers (REPs).

Timothy D. Mount - One of the best experts on this subject based on the ideXlab platform.

  • Market power and price volatility in Restructured Markets for electricity
    Decision Support Systems, 2001
    Co-Authors: Timothy D. Mount
    Abstract:

    Abstract The Restructured Market for electricity in the UK has experienced a systematic pattern of price spikes associated with the use of Market power by the two dominant generators. Partly in response to this problem, the share of capacity owned by any individual generator after restructuring was limited in Victoria, Australia. As a result, a much more competitive Market resulted with prices substantially lower than they were under regulation. Nevertheless, an erratic pattern of price spikes exists and the price volatility is a potential problem for customers. This paper argues that the use of a uniform price auction (UPA) for electricity Markets exacerbates price volatility. A discriminatory price auction (DPA) is proposed as a better alternative that would reduce the responsiveness of price to errors in forecasting total load.

Baseem Khan - One of the best experts on this subject based on the ideXlab platform.

  • a shapley value approach for transmission usage cost allocation under contingent Restructured Market
    International Conference on Futuristic Trends on Computational Analysis and Knowledge Management, 2015
    Co-Authors: Swati Khare, Baseem Khan, Ganga Agnihotri
    Abstract:

    Restructuring of Electricity supply industry introduced many issues such as transmission pricing, usage cost, loss cost and reliability margin (TRM) allocation. Many methods and algorithms have been developed to address these issues. In this paper authors propose a cooperative game theory based methodology for transmission usage cost allocation. For this purpose Shapley approach of cooperative game theory is used. Optimal usages are allocated at base case and under contingency condition by using cooperative game theory. Transmission usage cost is allocated under normal and N-1 contingency condition. Results are shown for the sample 6 bus system and IEEE 14 bus system.

  • a pso based approach for usage and cost allocation under contingent Restructured Market
    International Conference on Signal Processing, 2015
    Co-Authors: Gaurav Gupta, Mamsha Dubey, Baseem Khan
    Abstract:

    Restructuring of Electricity supply industry introduced many issues such as transmission pricing, usage, loss and cost allocation. Many methodologies have been proposed to address these issues. In this paper authors propose a graph theory based combined methodology which involves modified Kirchhoff matrix for transmission usage and cost allocation. For optimal usage allocation at contingent condition particle swarm optimization method is used. Full and partial recovery models of transmission cost allocation are also developed. First, the transmission usages are allocated to users for base case power flow by modified Kirchhoff matrix. For allocating transmission usage cost under contingency line outage distribution factor (LODF) are calculated. Further this factor is modified and calculated at maximum loading condition of line. Hence this index are called line outage distribution factor at maximum flow (LODFM). With the help of this index maximum transmission usage cost is recovered from the users. For usage cost allocation under contingency condition Modified MW-mile approach is used. Results are shown for the sample 6 bus system and IEEE 14 bus system.

  • a cooperative game theory approach for usage and reliability margin cost allocation under contingent Restructured Market
    International Review of Electrical Engineering-iree, 2014
    Co-Authors: Baseem Khan, Ganga Agnihotri, Pawan Rathore, Anuprita Mishra, Garima Naidu
    Abstract:

    Restructuring of Electricity supply industry introduced many issues such as transmission pricing, usage, loss and reliability margin (TRM) allocation. Many methodologies have been proposed to address these issues. In this paper authors propose a graph theory based combined methodology which involves modified Kirchhoff matrix for transmission usage and reliability margin allocation. For optimal usage allocation at base case cooperative game theory is used. Further, novel reliability indices are developed for optimal transmission usage and cost allocation under N-1 contingency condition. Full and partial recovery models of transmission cost allocation are also developed. First, the transmission usages are allocated to users for base case power flow by modified Kirchhoff matrix. For allocating transmission usage cost under contingency, line outage impact factor (LOIF) and line outage distribution factor (LODF) are calculated. Further these factors are modified and calculated at maximum loading condition of line. Hence these reliability indices are called line outage impact factor at maximum flow (LOIFM) and line outage distribution factor at maximum flow (LODFM). With the help of these indices maximum transmission usage cost is recovered from the users. For usage cost allocation under contingency condition Modified MW-mile approach is used. Results are shown for the sample 6 bus system and IEEE 14 bus system.

O P Malik - One of the best experts on this subject based on the ideXlab platform.

  • congestion management using demand response and facts devices
    International Journal of Electrical Power & Energy Systems, 2012
    Co-Authors: Ashkan Yousefi, Tien Nguyen, Hamidreza Zareipour, O P Malik
    Abstract:

    An approach is proposed for transmission lines congestion management in a Restructured Market environment using a combination of demand response (DR) and flexible alternating current transmission system (FACTS) devices. To achieve this aim, a two-step Market clearing procedure is formulated. In the first step, generation companies bid to the Market for maximizing their profit, and the ISO clears the Market based on social welfare maximization. Network constraints including those related to congestion management are represented in the second step of the Market-clearing procedure. The paper develops, using mixed integer optimization technique, a re-dispatch formulation for the second step in which demand responses and FACTS device controllers are optimally coordinated with conventional generators.

Garima Naidu - One of the best experts on this subject based on the ideXlab platform.

  • a cooperative game theory approach for usage and reliability margin cost allocation under contingent Restructured Market
    International Review of Electrical Engineering-iree, 2014
    Co-Authors: Baseem Khan, Ganga Agnihotri, Pawan Rathore, Anuprita Mishra, Garima Naidu
    Abstract:

    Restructuring of Electricity supply industry introduced many issues such as transmission pricing, usage, loss and reliability margin (TRM) allocation. Many methodologies have been proposed to address these issues. In this paper authors propose a graph theory based combined methodology which involves modified Kirchhoff matrix for transmission usage and reliability margin allocation. For optimal usage allocation at base case cooperative game theory is used. Further, novel reliability indices are developed for optimal transmission usage and cost allocation under N-1 contingency condition. Full and partial recovery models of transmission cost allocation are also developed. First, the transmission usages are allocated to users for base case power flow by modified Kirchhoff matrix. For allocating transmission usage cost under contingency, line outage impact factor (LOIF) and line outage distribution factor (LODF) are calculated. Further these factors are modified and calculated at maximum loading condition of line. Hence these reliability indices are called line outage impact factor at maximum flow (LOIFM) and line outage distribution factor at maximum flow (LODFM). With the help of these indices maximum transmission usage cost is recovered from the users. For usage cost allocation under contingency condition Modified MW-mile approach is used. Results are shown for the sample 6 bus system and IEEE 14 bus system.