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Holyoke, MA, United States

ISO New England Inc. is an independent, non-profit Regional Transmission Organization , serving Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont.ISO-NE oversees the operation of New England's bulk electric power system and transmission lines, generated and transmitted by its member utilities, as well as Hydro-Québec, NB Power, the New York Power Authority and utilities in New York state, when the need arises. ISO-NE is responsible for reliably operating New England's 32,000 megawatts bulk electric power generation and transmission system. One of its major duties is to provide tariffs for the prices, terms, and conditions of the energy supply in New England.ISO New England helps protect the health of New England's economy and the well-being of its people by ensuring the constant availability of electricity, today and for future generations. ISO New England meets this obligation in three ways: by ensuring the day-to-day reliable operation of New England's bulk power generation and transmission system, by overseeing and ensuring the fair administration of the region's wholesale electricity markets, and by managing comprehensive, regional planning processes.Its Board of Directors and its over 500 employees have no financial interest or ties to any company doing business in the region's wholesale electricity marketplace.ISO-NE was created in 1997 by the Federal Energy Regulatory Commission, as a replacement for the New England Power Pool , which was created in 1971. Wikipedia.

Zhao J.,ISO New England | Hobbs B.F.,Johns Hopkins University | Hobbs B.F.,Energy Research Center of the Netherlands | Pang J.-S.,University of Illinois at Urbana - Champaign
Operations Research | Year: 2010

Carbon dioxide allowance trading systems for electricity generators are in place in the European Union and in several U.S. states. An important question in the design of such systems is how allowances are to be initially allocated: by auction, by giving away fixed amounts (grandfathering), or by allocating based on present or recent output, investment, or other decisions. The latter system can bias investment, operations, and product pricing decisions and increase costs relative to the other systems. A nonlinear complementarity model is proposed for investigating the long-run equilibria that would result under alternative systems for power markets characterized by time-varying demand and multiple technology types.Existence of equilibria is shown under mild conditions. Solutions for simple systems show that allocating allowances to new capacity based on fuel use or generator type can yield large distortions in capacity investment, invert the operating order of power plants, and inflate consumer costs. The distortions can be smaller for tighter CO 2 restrictions and are somewhat mitigated if there is also a market for electricity capacity or minimum-run restrictions on coal plants. Distortions are also less if allowances are allocated to plants in proportion to sales rather than capacity. © 2010 INFORMS. Source

Litvinov E.,ISO New England
IET Generation, Transmission and Distribution | Year: 2010

Locational marginal prices (LMP)-based electricity markets are implemented in different countries around the world and are dominant in the United States. Even after ten years of the operation, some of the properties of the LMP are not well understood. There are many misconceptions about this clearing mechanism that led to some inefficient market designs. This study is an attempt to consistently present the current state of the LMP-based congestion management, including issues that market and system operators are facing, and analyse new directions of the research. The recommendations are made on which areas are of high priority and should be addressed first. Besides giving a systematic description on how the LMPs are produced, the paper describes both the modelling and implementation challenges and solutions. (This paper solely represents the view point of the author and not necessarily ISO New England's). © 2010 © The Institution of Engineering and Technology. Source

Chao H.-P.,ISO New England
Energy Policy | Year: 2011

Facing growing technological and environmental challenges, the electricity industry needs effective pricing mechanism to promote efficient risk management and investment decisions. In a restructured electricity market with competitive wholesale prices and traditionally regulated retail rates, however, there are technical and institutional barriers that prevent dynamic pricing with price responsive demand. In regions with limited energy storage capacity, intermittent renewable resources present special challenges. This could adversely affect the effectiveness of public policies causing inefficient investments in energy technologies. In this paper, we present an updated economic model of pricing and investment in restructured electricity market and use the model in a simulation study for an initial assessment of renewable energy strategy and alternative pricing mechanisms. A key objective of the study is to shed light on the policy issues so that effective decisions can be made to improve efficiency. © 2011 Elsevier Ltd. Source

Ge H.,ISO New England | Asgarpoor S.,University of Nebraska - Lincoln
IEEE Transactions on Power Delivery | Year: 2012

The increasing size, aging equipment, and complexity of power systems, coupled with present day financial constraints, have made the use of probabilistic methods and reliability indices a necessity for maintaining continuity and quality of service to customers. Proper maintenance-related decisions should address all of these issues to improve system reliability while meeting limited budget constraints. This paper proposes algorithms that enable system-level reliability assessment with detailed modeling of maintenance for aging equipment. Stochastic-based reliability modeling of substations with aging equipment is presented, which enables the study of equipment aging, failures, and maintenance and their effect on substation-level availability and frequency of failure. Several case studies are provided which describe optimization of maintenance activities and the impact on maximum substation reliability. The algorithms provide a valuable tool for processing detailed models of aging equipment and maintenance of individual pieces in system reliability assessment applications. These algorithms are consistent with existing reliability models and are capable of being integrated into utility asset-management programs. © 2012 IEEE. Source

Guan C.,University of Connecticut | Luh P.B.,University of Connecticut | Michel L.D.,University of Connecticut | Wang Y.,University of Connecticut | Friedland P.B.,ISO New England
IEEE Transactions on Power Systems | Year: 2013

Very short-term load forecasting predicts the loads 1 h into the future in 5-min steps in a moving window manner based on real-time data collected. Effective forecasting is important in area generation control and resource dispatch. It is however difficult in view of the noisy data collection process and complicated load features. This paper presents a method of wavelet neural networks with data pre-filtering. The key idea is to use a spike filtering technique to detect spikes in load data and correct them. Wavelet decomposition is then used to decompose the filtered loads into multiple components at different frequencies, separate neural networks are applied to capture the features of individual components, and results of neural networks are then combined to form the final forecasts. To perform moving forecasts, 12 dedicated wavelet neural networks are used based on test results. Numerical testing demonstrates the effects of data pre-filtering and the accuracy of wavelet neural networks based on a data set from ISO New England. © 1969-2012 IEEE. Source

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