The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A cost/benefit case study was performed to evaluate the results using the Dynamic Interchange Adjustment (DINA) tool to dynamically adjust intertie flows between ISO New England and the New York (NYISO). The DINA tool is designed to provide an online probabilistic estimation of the secure range for possible intra-day and intra-hour net interchange adjustments of a BA within the next dispatch hour...
This paper proposes a robust optimization method for the transmission expansion planning (TEP) while considering uncertainties of renewable energy and load via a multi-band uncertainty set formulation. In order to handle future uncertainty from renewable energy integration and demand fluctuation, robust optimization has been studied extensively to immune the transmission expansion plan against the...
This work presents a self scheduling problem of a thermal GenCo, trading electricity in a daily spot and subsequent adjustment market, to secure maximum feasible profit under the uncertainties of both the markets. The work proposes an Information Gap Decision Theory (IGDT) based framework that enables GenCo to make robust decisions for self-scheduling as well as trading portfolio selection in daily...
High penetration of wind generation will increase the requirement for fast frequency response services as currently wind plants do not provide inertial response. Although the importance of inertia reduction has been widely recognized, its impact on the system scheduling has not been fully investigated. In this context, this paper proposes a novel mixed integer linear programming (MILP) formulation...
Wind energy is a clean and renewable energy source which is rapidly growing globally. As the penetration level of wind power grows, the system operators need to consider wind power producers as strategic producers whose bidding behaviors will have an impact on the locational marginal prices. This paper proposes a bilevel stochastic optimization model to obtain the optimal bidding strategy for a strategic...
Spinning reserve (SR) allocation problem is of vital importance in maintaining power systems security and reliability. Considering forecast uncertainties, unit commitment problem and contingencies on the failure of transmission lines, a general probabilistic model for expected total cost is established and its corresponding solution for optimal SR allocation strategy is proposed. The objective function...
There are various undergoing efforts by system operators to set up an electricity market at the distribution level to enable a rapid and widespread deployment of distributed energy resources (DERs) and microgrids. This paper follows the previous work of the authors in implementing the distribution market operator (DMO) concept, and focuses on investigating the clearing and settlement processes performed...
In this paper we examine potential improvements in how load and generation forecast uncertainty is captured when setting reserve levels in power systems with significant renewable generation penetration and discuss the merit of proposed new methods in this area. One important difference between methods is whether reserves are defined based on the marginal distribution of forecast errors, as calculated...
Substantial changes in the generation portfolio take place due to the fast growth of renewable energy generation, of which the major types such as wind and solar power have significant forecast uncertainty. Reducing the impacts of uncertainty requires the cooperation of system participants, which are supported by proper market rules and incentives. In this paper, we propose a bilateral reserve market...
This paper presents a method of evaluating node voltages within distribution network using probabilistic load flow (PLF) analysis. It builds on the traditional deterministic load flow (DLF) approach which gives a picture of said network at one specific point in time. The probabilistic approach improves this by taking into account network uncertainties such as fluctuations in household consumption...
This paper implements an efficient sensitivity analysis (SA) technique to identify and rank critically important uncertain parameters that affect the small-disturbance stability of a power system. Identification and ranking of uncertain parameters are vital in modern power system operation due to the adoption of deregulated market structure and integration of intermittent energy resources and new...
The supply of electrical energy is being increasingly sourced from renewable generation. The variability and uncertainty of renewable generation, compared to a dispatchable plant, is a significant dissimilarity of concern to the traditionally reliable and robust power system. This change is driving the power system towards a more flexible entity that carries greater amounts of reserve. For congestion...
A key feature of smart grids is the use of demand side resources to provide flexibility to the energy system and thus increase its efficiency. Multienergy systems where different energy vectors such as gas, electricity, and heat are optimized simultaneously prove to be a valuable source of demand side flexibility. However, planning of such systems may be extremely challenging, particularly in the...
The aim of this paper is to provide a formulation of the stochastic unit commitment (UC), modeling in detail the operational phases of the thermal units as well as their start-up and shut-down trajectories. A MILP two-stage stochastic model is proposed for the solution of the proposed UC problem, where the uncertainty considered is related to the wind power penetration and the demand consumption....
This paper quantitatively evaluates the uncertainty mitigation by energy storage system (ESS) via complex affine arithmetic-based distribution power flow. First, the affine models of distributed generations (DGs) and ESS under uncertain situations are explicitly established. Then, a forward-backward sweep power flow based on complex affine arithmetic is proposed in distribution systems with DGs and...
This paper proposes an oligopolistic model for a wind power producer (WPP) with a market power to compete with other Gencos and take part in day-ahead, intraday and balancing markets. In order to model the mentioned oligopoly markets from WPP's viewpoint, a bi-level optimization framework is proposed based on multi-agent system and incomplete information game theory. In this context, the WPP participates...
Distribution feeder reconfiguration is a cost-effective scheme to improve the system operating condition. Making decisions on the status of switches along the feeder with high penetration of renewable resources requires a tractable and accurate input data analysis. This paper presents a method using Gaussian quadrature to approximate probability distribution function of input variables with a probability...
This paper investigates the scheduling horizon of power system containing wind and concentrating solar power (CSP) plants with thermal energy storage (TES). CSP plant with TES can be used to reduce the uncertainty of renewable generation and provide services to power system. However, forecast error of wind/solar is strongly related to the forecast horizon. When CSP plant with TES is incorporated into...
This paper proposes a novel two-stage stochastic optimization model that incorporates effect of dynamic line rating (DLR) on transmission network operation with increased penetration of wind generation, explicitly considering uncertainty in both wind generation and line rating. The stochastic model co-optimizes energy and reserve holding levels for the forecasted/expected condition (that with zero...
Dynamic response of loads has a significant effect on system stability and directly determines the stability margin of the operating point. Inherent uncertainty and natural variability of load models make the stability assessment especially difficult and may compromise the security of the system. We propose a novel mathematical “robust stability” criterion for the assessment of small-signal stability...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.