Unit Commitment Considering Interruptible Load for  Power System Operation with Wind Power

Park, Hyeongon; Lyu, Jae-Kun; Kang, Yong-Cheol; Park, Jong–Keun

doi:10.3390/en7074281

Cited by 20 publications

(10 citation statements)

References 16 publications

(24 reference statements)

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“…This can be achieved by controllable resources on both the supply and demand sides [17]. Figure 1 presents intuitively how a power system with RES keeps balance with the aids of interruptible load in different cases.…”

Section: Demand Reliefmentioning

confidence: 99%

Simultaneous Provision of Flexible Ramping Product and Demand Relief by Interruptible Loads Considering Economic Incentives

Wen

et al. 2017

Energies

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Abstract:To cope with the net load variability in real time, sufficient ramp capability from controllable resources is required. To address the issue of insufficient ramp capacity in real time operations, flexible ramping products (FRPs) have been adopted by some Independent System Operators (ISOs) in the USA as a new market design. The inherent variability and uncertainty caused by renewable energy sources (RESs) call for new FRP providers apart from conventional generating units. The so-called interruptible load (IL) has proved to be useful in maintaining the supply-demand balance by providing demand relief and can be a viable FRP provider in practice. Given this background, this work presents a stochastic real-time unit commitment model considering ramp requirement and simultaneous provision of IL for FRP and demand relief. Load serving entities (LSEs) are included in the proposed model and act as mediators between the ISO and multiple ILs. In particular, incentive compatible contracts are designed to encourage customers to reveal their true outage costs. Case studies indicate both the system and LSEs can benefit by employing the proposed method and ILs can gain the highest profits by signing up a favorable contract.

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Section: Demand Reliefmentioning

confidence: 99%

Simultaneous Provision of Flexible Ramping Product and Demand Relief by Interruptible Loads Considering Economic Incentives

Wen

et al. 2017

Energies

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“…In [17], wind power uncertainty is modeled explicitly using scenarios, and reserve requirements are enforced on the scenarios to account for the limited number of scenarios represented. A new type of unit commitment, which considers the interruptible load as a reserve to handle the increased uncertainty with wind power, is also suggested in [18]. Both [19,20] also consider wind power generation as an operating risk and propose an algorithm based on non-parametric kernel density estimation and a model for a short-term future forecasting using a conditional probability approach to reduce the risk.…”

Section: Introductionmentioning

confidence: 99%

Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand

et al. 2016

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Abstract:The use of appropriate hourly reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of unit commitment increases with larger reserve margins, cost analysis to determine the most economical reserve margin is an important issue in power system operation. Here, we define the "short-term reliability of balance" and describe a method to determine the reserve margin based on the short-term reliability of balance. We describe a case study, in which we calculate the reserve margin using this method with various standards of short-term reliability of balance. A cost analysis is then performed to determine the most economic standard, and a comparison between our method and a conventional method is carried out. The results show that our method with an economic short-term reliability of balance enables more reliable and efficient operation of the power system. Moreover, with an hourly reserve margin, we show that an increase in wind power generation can result in a significant decrease in the operating cost, which makes wind power generation economically viable.

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“…Mathematically, the above problem is a highly nonlinear and nonconvex optimization problem with the nonlinear objective function of peak shaving and large amounts of spatial-temporal coupling system and plant operation constraints [6,7]. The simplification of such complex objective functions and constraints make it hard to obtain directly an analytic solution or a discrete optimum using linear programming [8,9], nonlinear programming [10][11][12], or dynamic programming [13][14][15]. Moreover, these analytic methods are closely dependent on the computable requirements of available commercial software.…”

Section: Introductionmentioning

confidence: 99%

Peak Operation of Cascaded Hydropower Plants Serving Multiple Provinces

et al. 2015

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Abstract:The bulk hydropower transmission via trans-provincial and trans-regional power networks in China provides great operational flexibility to dispatch power resources between multiple power grids. This is very beneficial to alleviate the tremendous peak load pressure of most provincial power grids. This study places the focus on peak operations of cascaded hydropower plants serving multiple provinces under a regional connected AC/DC network. The objective is to respond to peak loads of multiple provincial power grids simultaneously. A two-stage search method is developed for this problem. In the first stage, a load reconstruction strategy is proposed to combine multiple load curves of power grids into a total load curve. The purpose is to deal with different load features in load magnitudes, peaks and valleys. A mutative-scale optimization method is then used to determine the generation schedules of hydropower plants. In the second stage, an exterior point search method is established to allocate the generation among multiple receiving power grids. This method produces an initial solution using the load shedding algorithm, and further improves it by iteratively coordinating the generation among different power grids. The proposed method was implemented to the operations of cascaded hydropower plants on Xin-Fu River and another on Hongshui River. The optimization OPEN ACCESSEnergies 2015, 8 11296 results in two cases satisfied the peak demands of receiving provincial power grids. Moreover, the maximum load difference between peak and valley decreased 12.67% and 11.32% in Shanghai Power Grid (SHPG) and Zhejiang Power Grid (ZJPG), exceeding by 4.85% and 6.72% those of the current operational method, respectively. The advantage of the proposed method in alleviating peak-shaving pressure is demonstrated.

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Unit Commitment Considering Interruptible Load for Power System Operation with Wind Power

Cited by 20 publications

References 16 publications

Simultaneous Provision of Flexible Ramping Product and Demand Relief by Interruptible Loads Considering Economic Incentives

Simultaneous Provision of Flexible Ramping Product and Demand Relief by Interruptible Loads Considering Economic Incentives

Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand

Peak Operation of Cascaded Hydropower Plants Serving Multiple Provinces

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