Time filter

Source Type

Burnaby, Canada

The BC Hydro and Power Authority is a Canadian electric utility in the province of British Columbia, generally known simply as BC Hydro. It is the main electric distributor, serving 1.8 million customers in most areas, with the exception of the City of New Westminster, where the city runs its own electrical department and the Kootenay region, where FortisBC, a subsidiary of Fortis Inc. directly provides electric service to 213,000 customers and supplies municipally owned utilities in the same area. As a provincial Crown corporation, BC Hydro reports to the BC Ministry of Energy and Mines, and is regulated by the British Columbia Utilities Commission . It is mandated to provide "reliable power, at low cost, for generations." BC Hydro operates 31 hydroelectric facilities and three natural gas-fueled thermal power plants. As of 2014, 95 per cent of the province's electricity was produced by hydroelectric generating stations, which consist mostly of large hydroelectric dams on the Columbia and Peace Rivers. BC Hydro's various facilities generate between 43,000 and 54,000 gigawatt hours of electricity annually, depending on prevailing water levels. BC Hydro's capacity is about 11,000 megawatts.Electricity is delivered through a network of 18,286 kilometers of transmission lines and 55,254 kilometers of distribution lines. For the 2013-2014 fiscal year, the domestic electric sales volume was 53,018 gigawatt hours, revenue was $5.392 billion and net income was $549 million. Wikipedia.

Marko J.R.,ASL Environmental Sciences Inc. | Jasek M.,BC Hydro
Cold Regions Science and Technology | Year: 2010

The basic concepts and operating principles of SWIPS (Shallow Water Ice Profiling Sonar) measurements in freezing rivers are outlined and described with reference to ongoing BC Hydro ice- and flow monitoring programs in the Peace River. Emphasis is given to identifying the nature of the measured quantities and their connections to the parameters conventionally used to describe and model rivers and their ice contents. Difficulties in deployment and data recovery, mostly associated with the growth of anchor ice, are described in terms of the evolution of successful approaches and the pitfalls encountered along the way. Distinctions are made among results obtained from targets at or inside floating surface ice and from particulate targets, suspended in the water column. Example results are presented in each case and put in the context of seasonal changes in the monitored quantities of interest. The usefulness of lower frequency measurements for ice cover studies is highlighted. Limited results from simultaneous multifrequency measurements on suspended particulate (frazil) targets are reviewed and analyzed to show the likely applicability of Rayleigh Law assumptions for observations made prior to ice cover stabilization and in, at least, the lower water column. This applicability is combined with estimates of absolute return strengths to make rough assessments of the ranges of particle sizes and concentration encountered in the Peace River studies. © 2010 Elsevier B.V. Source

Qin Z.,Chongqing University | Li W.,BC Hydro | Xiong X.,Chongqing University
Electric Power Systems Research | Year: 2011

Accurate estimation of long term wind speed probability distribution is a fundamental and challenging task in wind energy planning. This paper proposes a nonparametric kernel density estimation method for wind speed probability distribution. The proposed method is compared with ten conventional parametric distribution models for wind speed that have been presented in literatures so far. The results demonstrate that the proposed non-parametric estimation is more accurate and has better adaptability than any conventional parametric distribution for wind speed. © 2011 Elsevier B.V. All rights reserved. Source

Wangdee W.,BC Hydro | Billinton R.,University of Saskatchewan
IEEE Transactions on Power Systems | Year: 2012

Significant integration of intermittent energy resources such as wind power generation in electric system dictates the need to investigate the system reliability impacts and implications when adding a large amount of intermittent sources. This paper extends the concepts of the effective load carrying capability (ELCC) and the generation replacement capability (GRC) to consider both generation system adequacy and security domains. A system well-being analysis using sequential Monte Carlo simulation was utilized in this paper in order to capture the characteristics in the two reliability standpoints. A deterministic criterion for loss of the largest generating unit was considered in the study as a security measure. An auto-regressive moving average (ARMA) time series model was utilized to simulate hourly wind speeds. The study results were demonstrated using the two test systems designated as the RBTS and IEEE-RTS. © 1969-2012 IEEE. Source

Mah E.J.,BC Hydro
IEEE Power and Energy Magazine | Year: 2010

THE LONG-TERM PERFORMANCE OF BC HYDROS DISTRIBUTION network depends on the effectiveness of maintenance and capital replacement plans. These plans must not only identify short-term system requirements but also target expenditures to proactively address future performance issues in a cost-effective manner. © 2006 IEEE. Source

Qin Z.,Chongqing University | Li W.,BC Hydro | Xiong X.,Chongqing University
IEEE Transactions on Power Systems | Year: 2013

This paper presents a Monte Carlo based generation system reliability evaluation method that can accurately model correlations between multiple wind speeds following different probability distributions. The assumption of normal distribution in the traditional correlation matrix method is eliminated. Applications to the Weibull, Burr, lognormal and gamma distributions which are popular for wind speed representation are analyzed in detail. The reliability evaluation procedure considering correlations of wind speeds following different distributions is developed. The IEEE-RTS with four additional wind farms whose wind speeds follow different types of distributions is used to demonstrate the application of the presented method in generation system reliability evaluation. © 2012 IEEE. Source

Discover hidden collaborations