A probabilistic joint energy and spinning reserve market model

Ahmadi-Khatir, Ali; Cherkaoui, Rachid

doi:10.1109/pes.2010.5589383

Cited by 7 publications

(18 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• DG and BESS up/down spinning reserve calculation: the total amount of spinning reserve provided by the all the regulating generators (DGs and BESS) must be equal or greater than the spinning reserve required [34,35].…”

Section: Equations Of the Mip Modelmentioning

confidence: 99%

Optimization Models for Islanded Micro-Grids: A Comparative Analysis between Linear Programming and Mixed Integer Programming

et al. 2017

View full text Add to dashboard Cite

This paper presents a comparison of optimization methods applied to islanded micro-grids including renewable energy sources, diesel generators and battery energy storage systems. In particular, a comparative analysis between an optimization model based on linear programming and a model based on mixed integer programming has been carried out. The general formulation of these models has been presented and applied to a real case study micro-grid installed in Somalia. The case study is an islanded micro-grid supplying the city of Garowe by means of a hybrid power plant, consisting of diesel generators, photovoltaic systems and batteries. In both models the optimization is based on load demand and renewable energy production forecast. The optimized control of the battery state of charge, of the spinning reserve and diesel generators allows harvesting as much renewable power as possible or to minimize the use of fossil fuels in energy production.

show abstract

Section: Equations Of the Mip Modelmentioning

confidence: 99%

Optimization Models for Islanded Micro-Grids: A Comparative Analysis between Linear Programming and Mixed Integer Programming

et al. 2017

View full text Add to dashboard Cite

show abstract

“…As previously mentioned, in the deterministic model of optimal allocation, the amount of spinning reserve capacity is considered as a fix amount which is equal to 400 MW in the tested system [1]. By contrast, in the proposed model, the amount is determined by system load demands and system security demands at different times and in different zones.…”

Section: Proposed Model For Optimal Joint Allocationmentioning

confidence: 99%

“…This network has been chosen due to its similarity to a real network. As a consequence, the IEEE-RTS has been widely used to test the feasibility and reliability of different kinds of reliable models for the power system [1], [6], [7]. The layout of the test system is shown in Fig.…”

Section: Simulation Studiesmentioning

confidence: 99%

See 1 more Smart Citation

A probabilistic model for optimal joint allocation of energy and spinning reserve using Primal-Dual Interior Point Method

Ding¹,

Zheng

Jing

et al. 2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

View full text Add to dashboard Cite

This paper proposes a probabilistic model for optimal joint allocation of energy and spinning reserve to determine energy and spinning reserve capacities. The model takes into consideration both the hourly changes of load demands and the probability of generators' contingencies. The objective function aims at minimizing not only fuel costs caused by power generation but also the costs associated with spinning reserve supply. The proposed model is tackled using the Primal-Dual Interior Point Method (PDIPM), which is capable of solving optimization problems with nonlinear equality and inequality constraints efficiently. This paper reports on the simulation results obtained by using a benchmark IEEE Reliability Test System (IEEE-RTS).The simulation studies also include a comparison between the proposed probabilistic model and the conventional deterministic model, which suggests that the joint allocation of energy and spinning reserve can be optimized by the proposed model for economical and reliable purposes. Consequently, it can be applied to minimize the costs of running the power system with adequate spinning reserve.

show abstract

“…SR needs some time to be fully deployed in case of contingencies. The reserve deployment time is different in each power system such that each power system has its own definition of deployment time depending on parameters such as the size of synchronized network or the market structure [5][6][7][8]. Similar to the SR used in [7], the SR used throughout the thesis refers to that which can be deployed within the tertiary regulation interval [5,6,9].…”

Section: List Ofmentioning

confidence: 99%