Author
Chung-Ching Su
Bio: Chung-Ching Su is an academic researcher from National Taiwan University. The author has contributed to research in topics: Electric power system & Power system simulation. The author has an hindex of 6, co-authored 6 publications receiving 620 citations.
Papers
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TL;DR: A new approach using fuzzy dynamic programming is proposed for the unit commitment of a power system, in which the hourly loads, the cost, and system security are all expressed in fuzzy set notations is developed.
Abstract: A new approach using fuzzy dynamic programming is proposed for the unit commitment of a power system. A characteristic feature of the approach is that the errors in the forecast hourly loads can be taken into account by using fuzzy set notations, making the approach superior to the conventional dynamic programming method which assumes that the hourly loads are exactly known and there exist no errors in the forecast loads. To reach an optimal commitment strategy under the fuzzy environment, a fuzzy dynamic programming model in which the hourly loads, the cost, and system security are all expressed in fuzzy set notations is developed. The effectiveness of the approach is demonstrated by the unit commitment of the Taiwan power system, which contains six nuclear units, 48 thermal units, and 44 hydro units. >
242 citations
TL;DR: In this paper, an approach based on dynamic programming is presented for the dispatch of direct load control (DLC) for the Taiwan power system, where the objective is to coordinate DLC strategies with system unit commitment such that the system production cost is minimized.
Abstract: An approach based on dynamic programming is presented for the dispatch of direct load control (DLC). The objective is to coordinate DLC strategies with system unit commitment such that the system production cost is minimized. To achieve this goal, the DLC dispatch is first integrated into the unit commitment problem. An optimization technique based on dynamic programming is then developed to reach the optimal DLC dispatch strategy and system generation schedule. To demonstrate the effectiveness of the approach, results from a sample study performed on the Taiwan power system are described. >
204 citations
TL;DR: In this article, the authors examined the various factors affecting the damping characteristics of low frequency oscillations which caused dynamic instability problem in the operation of Taiwan power system and showed that power system stabilizers can be employed as an effective means for improving dynamic stability.
Abstract: Sustained low frequency oscillations have been observed in Taiwan power system which is of longitudinal structure. It is the purpose of this paper to examine the various factors affecting the damping characteristics of these oscillations which caused dynamic instability problem in the operation of Taiwan power system. It is observed that the amount of power flow on the EHV transmission line and the characteristics of load have a significant effect on the damping of the system while the speed-governing system and the gain of automatic voltage regulator have only a minor one. Detailed investigation using both the frequency domain and time domain approaches also reveals that power system stabilizers can be employed as an effective means for improving dynamic stability of Taiwan power system.
98 citations
TL;DR: In this paper, an approach for multi-area unit commitment which takes the power system dynamic stability limit into account is presented, where dynamic programming is employed to perform unit commitment on the whole system, and the eigenvalues for the resultant hourly generation schedules are examined to see if they satisfy the prespecified dynamic security criterion.
Abstract: An approach is presented for multiarea unit commitment which takes the power system dynamic stability limit into account. Dynamic programming is employed to perform unit commitment on the whole system. The eigenvalues for the resultant hourly generation schedules are examined to see if they satisfy the prespecified dynamic security criterion. If the requirement is not met at certain hours, an iterative algorithm is employed to reduce the interarea line flows gradually and to perform area redispatch and, if necessary, area unit commitment, in order for the resultant generation schedule to satisfy the requirement. The goal is to achieve a multiarea generation schedule which meets the conventional requirements of having lowest fuel costs with the spinning reserves and steady-state transmission capacity limits satisfied, and offers good dynamic performance through the enforcement of dynamic security constraints. >
49 citations
TL;DR: In this paper, the application of a stabilizer to a power system with a pumped-storage plant is investigated, and the optimum stabilizer parameters for the pumping and generating mode operations are recommended.
Abstract: The application of a stabilizer to a power system with a pumped-storage plant is investigated. Eigenvalue-eigenvector analysis and time-domain transient stability simulation are used to identify the optimum stabilizer parameters, and are verified by field test results. It is found that for the system considered, the pumped-storage plant is not necessarily the best location for the stabilizer application if the goal is to damp out tieline oscillations. Suitable stabilizer parameters for the pumping and generating mode operations are recommended. >
23 citations
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01 Jan 2011
TL;DR: Conceptual frameworks for actively involving highly distributed loads in power system control actions and some of the challenges to achieving a load control scheme that balances device- level objectives with power system-level objectives are discussed.
Abstract: This paper discusses conceptual frameworks for actively involving highly distributed loads in power system control actions. The context for load control is established by providing an overview of system control objectives, including economic dispatch, automatic generation control, and spinning reserve. The paper then reviews existing initiatives that seek to develop load control programs for the provision of power system services. We then discuss some of the challenges to achieving a load control scheme that balances device-level objectives with power system-level objectives. One of the central premises of the paper is that, in order to achieve full responsiveness, direct load control (as opposed to price response) is required to enable fast time scale, predictable control opportunities, especially for the provision of ancillary services such as regulation and contingency reserves. Centralized, hierarchical, and distributed control architectures are discussed along with benefits and disadvantages, especially in relation to integration with the legacy power system control architecture. Implications for the supporting communications infrastructure are also considered. Fully responsive load control is illustrated in the context of thermostatically controlled loads and plug-in electric vehicles.
1,105 citations
TL;DR: A heuristic-based Evolutionary Algorithm that easily adapts heuristics in the problem was developed for solving this minimization problem and results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.
Abstract: Demand side management (DSM) is one of the important functions in a smart grid that allows customers to make informed decisions regarding their energy consumption, and helps the energy providers reduce the peak load demand and reshape the load profile. This results in increased sustainability of the smart grid, as well as reduced overall operational cost and carbon emission levels. Most of the existing demand side management strategies used in traditional energy management systems employ system specific techniques and algorithms. In addition, the existing strategies handle only a limited number of controllable loads of limited types. This paper presents a demand side management strategy based on load shifting technique for demand side management of future smart grids with a large number of devices of several types. The day-ahead load shifting technique proposed in this paper is mathematically formulated as a minimization problem. A heuristic-based Evolutionary Algorithm (EA) that easily adapts heuristics in the problem was developed for solving this minimization problem. Simulations were carried out on a smart grid which contains a variety of loads in three service areas, one with residential customers, another with commercial customers, and the third one with industrial customers. The simulation results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.
1,070 citations
TL;DR: In this article, a bibliographical survey, mathematical formulations, and general backgrounds of research and developments in the field of modern unit commitment (UC) problem for past 35 years based on more than 150 published articles.
Abstract: With the fast-paced changing technologies in the power industry, new power references addressing new technologies are coming to the market. So there is an urgent need to keep track of international experiences and activities taking place in the field of modern unit-commitment (UC) problem. This paper gives a bibliographical survey, mathematical formulations, and general backgrounds of research and developments in the field of UC problem for past 35 years based on more than 150 published articles. The collected literature has been divided into many sections, so that new researchers do not face any difficulty in carrying out research in the area of next-generation UC problem under both the regulated and deregulated power industry.
898 citations
TL;DR: In this paper, the authors develop new methods to model and control the aggregated power demand from a population of thermostatically controlled loads, with the goal of delivering services such as regulation and load following.
770 citations
TL;DR: Several optimization techniques have been applied to the solution of the thermal unit commitment problem as discussed by the authors, ranging from heuristics such as complete enumeration to the more sophisticated ones such as augmented LaGrangian.
Abstract: Several optimization techniques have been applied to the solution of the thermal unit commitment problem. They range from heuristics such as complete enumeration to the more sophisticated ones such as Augmented LaGrangian. The heuristics have even reappeared as expert systems. The problem to solve is the optimal scheduling of generating units over a short-term horizon, typically 168 hours. This paper is an overview of the literature in the unit commitment field over the past twenty five years. >
518 citations