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N-1 security criteria is a key principle for distribution operation. However, it is hardly taken into account in modern distribution feeder reconfiguration models, which cannot satisfy security margin demands. To address this fundamental problem, this paper develops a new stochastic reconfiguration method for distribution network considering N-1 security and net loss. Firstly, three indexes-average...
Prior research has shown that autocorrelation and variance in voltage measurements tend to increase as power systems approach instability. This paper seeks to identify the conditions under which these statistical indicators provide reliable early warning of instability in power systems. First, the paper derives and validates a semi analytical method for quickly calculating the expected variance and...
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...
The increasingly prevalence of electric vehicles (EVs) calls for the effective planning of the charging infrastructure. In this paper, a multi-objective, multi-stage collaborative planning model is proposed for the EV charging stations and power distribution network. The model aims to minimize the investment & operation costs of the distribution system while maximizing the annually captured traffic...
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...
In this paper, the problem of energy resource trading in an Energy Internet context is studied. By collecting information about energy bidding of multiple microgrids, an aggregator aims to maximize each microgrids' profit while minimizing the risk of overbidding for renewable energy resources trading-based microgrids. A novel stochastic game-theoretic model and the conditional value-at-risk (CVaR)...
Performing co-simulation studies on transmission and distribution systems software environments requires linking the transmission system elements in the former with highly detailed distribution network models and probabilistic load models in the latter. This paper presents a two-step algorithm for: (i) creating a scalable distribution system in a bottom-up approach to match the connected load at 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 proposes a probabilistic power flow analysis technique based on the stochastic response surface method. The probability distributions and statistics of power flow responses can be accurately and efficiently estimated by the proposed method without using series expansions such as the Gram-Charlier, Cornish-Fisher, or Edgeworth series. The stochastic continuous input variables following normal...
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 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...
Variable over voltage, excessive tap counts, and voltage regulator (VR) runaway condition are major operational challenges in distribution network while accommodating generation from photovoltaics (PVs). The conventional approach to achieve voltage control based on offline simulation for voltage set point calculation does not consider forecast errors. In this work, a stochastic optimal voltage control...
The problem of centralized scheduling of large scale charging of electric vehicles (EVs) with demand response options is considered. A stochastic dynamic programming model is introduced in which the EV charging service provider faces stochastic demand, convex non-completion penalties, and random demand response requirements. Formulated as a restless multi-armed bandit problem, the EV charging problem...
The problem of inter-regional interchange scheduling using a multiple proxy bus representation is considered. A new scheduling technique is proposed for the multi-proxy bus system based on a stochastic optimization that captures uncertainty in renewable generation and stochastic load. In particular, the proposed algorithm iteratively optimizes the interchange across multiple proxy buses using a vectorized...
We present a model for finding the optimal investment strategy for installing TCSC devices on a transmission network while considering the wind generation and load uncertainties. The proposed TCSC location-allocation problem is a non-linear non-convex mathematical program. We use the general linearization technique to convexify the polynomial constraints. To address the uncertainty of wind power and...
This paper assesses long term electricity planning under uncertain load growth, gas price, renewable production and new technologies' investment costs for the state of Queensland, Australia in 2030. A stochastic programming approach is mathematically formulated to decide which technology to be built, while determining its capacity and location. Additionally, new investments in transmission lines are...
This paper proposes a robust optimization (RO) model for bidirectional dispatch coordination of large-scale plugin electric vehicles (PEVs) in a power grid in which the PEVs are aggregated to manage. The PEV aggregators are considered as a type of dispatchable demand response and energy storage resource with stochastic behaviors, and can supply load or provide ancillary services such as regulation...
Low-carbon electric power systems are often characterized by high shares of renewables, such as wind power. The variable nature and limited predictability of some renewables will require novel system operation methods to properly size and cost-efficiently allocate the required reserves. The current state-of-the-art stochastic unit commitment models internalize this sizing and allocation process by...
Due to thermal inertia, commercial buildings can provide power system frequency reserves with the heating, ventilation and air-conditioning (HVAC) systems. In this paper, we follow up on a recently proposed framework for scheduling and provision of secondary frequency control (SFC) reserves within a building aggregation. We extend this framework with a new reserve scheduling formulation, which is...
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