TL;DR: In this paper, the authors present an analysis of the IEEE Reliability Test System (IRTS) and evaluate the reliability worth of the test system with Monte Carlo simulation and three-order equations for overlapping events.
Abstract: Introduction. Generating Capacity-Basic Probability Methods. Generating Capacity-Frequency and Duration Method. Interconnected Systems. Operating Reserve. Composite Generation and Transmission Systems. Distribution Systems-Basic Techniques and Radial Networks. Distribution Systems-Parallel and Meshed Networks. Distribution Systems-Extended Techniques. Substations and Switching Stations. Plant and Station Availability. Applications of Monte Carlo Simulation. Evaluation of Reliability Worth. Epilogue. Appendix 1: Definitions. Appendix 2: Analysis of the IEEE Reliability Test System. Appendix 3: Thirdorder Equations for Overlapping Events. Solutions to Problems. Index.
TL;DR: In this paper, the authors compare stochastic and reserve methods and evaluate the benefits of a combined approach for the efficient management of uncertainty in the unit commitment problem and show that unit commitment solutions obtained for the combined approach are robust and superior with respect to the traditional approach in terms of both economics and reliability metrics.
Abstract: Uncertainty in power systems operations has been traditionally managed by multistage decision making and operating reserve requirements. A familiar example of multistage decisions is day-ahead unit commitment and real-time economic dispatch. An alternate approach for managing uncertainty is a stochastic formulation, which allows the explicit modeling of the sources of uncertainty. This paper compares stochastic and reserve methods and evaluates the benefits of a combined approach for the efficient management of uncertainty in the unit commitment problem. Numerical studies show that unit commitment solutions obtained for the combined approach are robust and superior with respect to the traditional approach in terms of both economics and reliability metrics.
TL;DR: In this article, the authors study the impact of non-market mechanisms such as spot market price caps, operating reserve requirements, non-price rationing protocols, and administrative protocols for managing system emergencies.
Abstract: Despite all of the talk about “deregulation” of the electricity sector, a large number of non-market mechanisms have been imposed on emerging competitive wholesale and retail markets. These mechanisms include spot market price caps, operating reserve requirements, non-price rationing protocols, and administrative protocols for managing system emergencies. Many of these mechanisms have been carried over from the old regime of regulated monopoly and continue to be justified as necessary responses to market imperfections of various kinds and engineering requirements dictated by the special physical attributes of electric power networks. This paper seeks to bridge the gap between economists focused on designing competitive market mechanisms and engineers focused on the physical attributes and engineering requirements they perceive as being needed for operating a reliable electric power system. The paper starts by deriving the optimal prices and investment program when there are price-insensitive retail consumers, and their load serving entities can choose any level of rationing they prefer contingent on real time prices. It then examines the assumptions required for a competitive wholesale and retail market to achieve this optimal price and investment program. The paper analyses the implications of relaxing several of these assumptions. First, it analyzes the interrelationships between regulator-imposed price caps, capacity obligations, and system operator procurement, dispatch and compensation arrangements. It goes on to explore the implications of potential network collapses, the concomitant need for operating reserve requirements and whether market prices will provide incentives for investments consistent with these reserve requirements.
TL;DR: In this article, a cost-based formulation to determine the optimal size of the battery energy storage (BES) in the operation management of the micro-grid is presented. And the performance of the approach is evaluated by one grid-connected low voltage MG where the optimal BES is determined professionally.
TL;DR: In this paper, the authors discuss the implications of climate change mitigation and energy security targets on variable renewable energy sources, and their implications for the operation of power plants are frequently inve...