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Path-dependent valuation of generators in the capacity, energy and carbon marketsSun, Yi, 孙毅 January 2011 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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Analytical models for wind power investmentCheng, Mang-kong., 鄭孟剛. January 2011 (has links)
Wind power generation has experienced an explosive growth worldwide. It is a
promising renewable energy source to countries that are short of fossil fuels, e.g. China.
While wind power is a distinctive direction to go for, it is still necessary to examine the
rationale behind such investing mania, and this thesis analyzes the issue by collectively
investment modeling.
For investment analysis, it is necessary to first identify the relevant market
background before inferring to any analytical model. Chapter 2 identifies a number of
wind power investment scenarios in accordance to modern electricity market regime,
primarily American and European structures. Among them, two main scenarios are
investigated and modeled subsequently: fixed tariff wind power project invested by
independent power producer and wind power project undertaken by utility. It has to be
emphasized that different market scenarios would lead to different modeling
methodologies for best representing the reality.
Wind power is intermittent and uncertain. One way to describe the probabilistic
energy production is by statistical characterization of wind power in a period of time.
Chapter 3 presents a standalone analytical model of the wind power probability
distribution and its higher order statistics. Large-scale deployment of wind power would
influence power system in unprecedented ways. High penetration wind power poses a
need of refinement to existing methodologies on production costing and reliability
evaluation. The applications of the probabilistic wind power model to these topics are
outlined in this chapter.
In Chapter 4, investment of fixed tariff wind power project is analyzed. Operation
of wind farm is very passive and as long as wind keeps blowing, such wind power
investment has minimal risk in annual revenue. The low-risk profile facilitates debt
financing. This leads to the attempt to manipulate the project capital structure to
maximize the project levered value. Yet the default probability is raised and associated
with a subjective value of default probability there is a value-at-risk debt level. I therefore
propose an optimization formulation to maximize the wind power project valuation with
debt as decision variable subject to the value-at-risk debt constraint.
Apart from independent wind power producers, many policy and market factors
driving wind power development are actually put on the utility side, e.g. Renewable
Portfolio Standard (Renewable Energy Target) in U.S. (Europe) and Green Power
Programs. It implies that utility has to have wind power (or other renewable) capacity
ready by a certain date. In practice, utility may take action earlier if conditions are
favorable or optimal. The conditions considered here are fossil fuel prices or in more
general setting, electricity contract prices. Define the total fuel cost saving from
conventional units as the benefit of wind power. If fuel prices are high enough,
substituting load demand by wind energy is profitable, vice versa. The investment
decision is analogous to premature exercising of an American option, in which the wind
power project is modeled as real option. Chapter 5 offers detailed formulation of this idea. / published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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Electri-city : reconfiguring the landscape of powerLau, Hoi-ying, 柳凱瑩 January 2012 (has links)
published_or_final_version / Architecture / Master / Master of Landscape Architecture
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Auto-retuning of power system stabilizers for dynamic stability improvement張旭健, Cheung, Yuk-kin. January 1995 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
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AC mains voltage regulation by solid-state power conversiontechniques侯經權, Hau, King-kuen. January 1990 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy
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The detailed design of a centralized computer system for backup protection and post-fault control, with particular emphasis onsecurity and reliabilityEdgley, Ralph Kingsley. January 1975 (has links)
published_or_final_version / Electrical Engineering / Doctoral / Doctor of Philosophy
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Economic dispatch with transmission limits using second derivative informationBottéro, Marie-Hélène Eliane. January 1980 (has links)
No description available.
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Analytic approach to economic dispatchFahmideh-Vojdani, A. (Alireza) January 1979 (has links)
No description available.
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An analytical study of back-to-back HVDC link in weak AC systems /Hellal, Abdelhafid. January 1986 (has links)
No description available.
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The minimum cost optimal power flow problem solved via the restart homotopy continuation method /Ponrajah, Ranendra Anthony January 1987 (has links)
This thesis is the result of an investigation to assess the potential of the continuation method to solve the minimum cost optimal power flow problem. For this purpose, a restart homotopy continuation method algorithm is developed, which contains in essence two phases. / The pertinent steps of the first phase are as follows: (1) Create a sub-problem of the complete optimal power flow problem by relaxing boundary limits on all functional variables, namely voltages at load buses, line flows and reactive generations. (2) Parameterize a subset of the whole set of controls which comprises initially of tap-changers, phase-shifters, shunt controllers, and the voltages at generation buses. (3) Optimize the resulting problem. / The solution in step (3) is used as an initial starting point in a continuation process, designed to track this solution to the optimal solution of the sub-problem defined in step (1). The tracking is accomplished via a predictor-corrector path following algorithm embodying certain special features, such that the solution accuracy can be improved to any desired degree through a flexible restart feature developed in this study. Within the tracking process only a subset (identified in step 2 above) of the whole set of controls require specific monitoring for break-points. This feature greatly reduces the computational burden. Termination of the first phase marks an operating point in which all controls are strictly feasible. / If, following the termination of the first phase, functional variables previously ignored prove to be within their respective bounds, the solution to the sub-problem becomes the solution to the complete optimal power flow problem. However, should functional variables violate their bounds the second phase of the algorithm is invoked, which in essence creates a new sub-problem by changing the roles of the control and violated dependent variables, such that the newly modified sub-problem maintains the same basic structure as its predecessor. / Phase I is invoked again at this juncture to solve the modified sub-problem. This process is repeated in cycles until the Kuhn-Tucker optimality conditions are satisfied. Simulations suggest that convergence is usually achieved within two or three Phase I/II cycles. / This being a method unique to the minimum cost optimal power flow problem, numerous examples (up to 118 buses) have been tested and compared against the commercial code MINOS. The newly proposed algorithm appears to be faster and more reliable.
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