The uncertainty of wind power can cause side-effects indistribution network reconfiguration. For reducing the impact from in distribution reconfiguration, hard strategy compressed air assisted turbine system (CAAWTS) and soft based on robust optimization are proposed this paper. Since energy storage capacity CAAWTS is generally small, performance limited. by creating an uncertain set applied to enhance strategy. model reconfiguration then solved maximum explicit method. Numerical examples...

The increasing penetration rates of wind power in systems bring challenges to the dynamic economic dispatching.This paper proposes a Robust Stochastic Optimization (RSO) model handle uncertainty dispatch.Based on event-wise ambiguity set and recourse adaptation, RSO has generality enables be constructed irrelatively specific problem.Furthermore, by introducing detail-variables, adjustment can reduce conservativeness.To dispatch problem, simulations studies IEEE 118-bus system 300-bus verify...

The interconnection of the electricity-gas integrated energy system is an effective way to improve renewable utilization efficiency. This paper constructs optimal power flow(OPF) model and natural gas network model. main coupling parts are gas-fired unit (GFPU) (P2G). In order solve problem, flow equation transformed into a second-order cone linearized. Based on this, this proposes apply robust optimization data-driven under participation wind power, improved basis 1-norm ∞-norm. final...

With the advancement of China’s carbon policy, proportion renewable energy, mainly wind and solar, has increased, which brings greater challenges to reservation power systems. Due complexity systems, adopting method zonal reserve ensure stable system operation is very difficult. Among existing clearing results for calculating reservation, unit will be restricted by network security constraints, leading risks. To obtain reservations efficiently without breaking this paper proposes an...

With the arrival of big data era, wind power accommodation has an alternative solution. Meanwhile, traditional stochastic optimization or robust methods may result in uneconomic conservative decisions dealing with uncertainty problems. Based on this, it is proposed to apply driven optimal flow under participation power, and model improved basis integrated 1- norm infinity norm. The final example analysis also proves validity practicability model.

Abstract In the context of increasing renewable energy penetration, storage configuration plays a critical role in mitigating output volatility, enhancing absorption rates, and ensuring stable operation power systems. This paper proposes benefit evaluation method for self-built, leased, shared modes plants. First, models each mode are developed, actual benefits calculated from technical, economic, environmental, social perspectives. Then, CRITIC is applied to determine weights indicators,...

The economic and reliable operation of distribution network relies on state variables information from estimator. However, since the amount distributed generation (DG) electric vehicles connected to is steadily growing, full randomness volatility, which increases difficulty accurate estimation. In this paper, a dynamic estimation (DSE) algorithm based unscented particle filter (UPF) proposed. This uses Kalman (UKF) estimated results as proposal (PF), updates latest measurements in process...

The application of gas turbines and power to equipment deepens the coupling relationship between systems natural provides a new way absorb uncertain wind as well. traditional stochastic optimization robust algorithms have some limitations deficiencies in dealing with uncertainty output. Therefore, we propose (RSO) model solve dynamic optimal flow for electricity-gas integrated energy (IES) considering uncertainty, where ambiguity set output is constructed based on Wasserstein distance. Then,...

With the large-scale grid connection of new energy such as wind power, it is very necessary to consider output uncertainty power in market clearing model. In this paper, a robust optimization model based on box set and distributed Wasserstein metric ambiguity proposed. The dual theory used deal with without increasing difficulty solving Finally, effectiveness verified by simulation case.

To ensure the stability of electricity spot market and safety provincial regional power systems, a check method is proposed to maximize effective reserve resources in system by optimizing each tie-line. This accurately models tie-line equipment coupled with constraint clearing model form algorithm optimize power. The involved this paper linear model, which has clear implementation practical dispatching applications. Through method, configuration scheme meet constraints can be obtained,...

With the continuous development of new power system, fluctuation energy output becomes more and serious to safe stable operation grid. Based on robust optimization idea dynamic adjustment box allocation factor, this paper proposes uncertainty interval with fixed step size adaptive in Security Constrained Economic Dispatch (SCED). In simulation analysis stage, through comparative multiple scenarios, application scenarios different methods are clarified, correctness effectiveness proposed...

Abstract System’s reserve is one of the important security constrains when conducting day-ahead clearing calculation. Usually, requirement determined by local dispatching center based on their experience. However, this experience-based threshold may lead to two issues, i.e., invalid and slow calculation speed under electricity market condition. Based concept effective reserve, a method for estimating system’s maximum proposed in paper. The main idea design an optimization algorithm determine...

In some provincial/regional markets dominated by hydropower in China, the economic operation of cascade is very important, and has its unique physical characteristics, so it necessary to carry out targeted modeling clearing model power spot market. Therefore, view fact that multiple plants share one reservoir process clearing, a market considering with proposed. The aims minimize total generation cost system. Based on traditional model, abandoned water power, level control flow constraints...

With the increasing penetration of renewable energy, more attention has been paid to energy clearing method in electricity market. Firstly, this paper deduces robust counterpart box optimization. Secondly, optimization model is proposed deal with uncertainty energy. Finally, simulation analysis, through comparison calculation efficiency and different system scale rates it verified that risk factor allocation a good effect large-scale systems little impact on model.