A Novel Capacity Market Model With Energy Storage (original) (raw)
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IEEE Transactions on Power Systems, 2018
and the Ph.D. degree from the University of Mondragon, in 2011. He joined the IK4-IKERLAN Technology Research Centre in 1995, where he is working currently as a Researcher. His research interests include energy management strategies and optimization for hybrid systems and electricity distribution grid, vertical transport systems and electric transport with presence of renewable energy and storage systems. Pablo Eguia (M'09) was born in Bilbao, Spain, in 1973. He received the Ph.D. degree in electrical engineering from the University of the Basque Country, Bilbao, Spain, in 2007. Currently, he is Assistant Professor with the Department of Electrical Engineering of the University of the Basque Country UPV/EHU. He is the research group's leader GISEL. His research activities include power systems analysis and simulation, integration of renewable generation, and power system control and protection.
Journal of Energy Storage, 2018
This paper presents a time series simulation model (including energy storage systems) intended for the modeling of high penetration non-dispatchable renewable power in utility-scale (multi MW) networks. Its initial application was based on an investigation into the application of large-scale energy storage for offshore wind energy systems to the New England electrical grid. The model includes the following: (1) conventional generators (up to seven), (2) wind turbine generators, (3) solar photovoltaic (PV) generators, (4) energy storage and (5) various dispatch options. A detailed summary is presented for the individual components analytical models and the program structure. The program flow and generator dispatch options include: (i) basic, (ii) time of day, (iii) peak-shaving, plus (iv) minimum run time. In addition, several examples/case studies utilizing energy storage are given that illustrate the basic features of the model. The recommendations section details a number of suggestions for future improvements of the model, and what added exercises of the overall model that could be carried out. An overall conclusion of this work is that energy storage will become progressively more important when electrical networks loads are supplied with large amounts of wind and solar PV inputs. Stored energy equivalent to a few days of average load can have a significantly beneficial effect on reducing conventional fuel requirement. Additional storage is still useful but with diminishing returns. Supplying 100% of the load with wind/PV remains a challenge. The effect of partial correlation between spatially separated wind and PV generators can reduce the amount of storage that would otherwise be needed and merits further study. Although high penetration of non-dispatchable renewable power in
The economic effect of storage in systems with high penetration of renewable sources
North American Power Symposium (NAPS), 2015
Power system operational and economic challenges are raised from increasing penetration of variable energy sources. Reliable operation of transmission and distribution systems with high penetration of renewable resources can be achieved using storage. In this paper, a flexible AC-OPF dispatch algorithm (F-OPF) is presented and two different types of storage devices are considered to address the problem: battery storage and pumped hydro storage. Battery Energy Storage Systems (BESS) are located in the transmission level and Plug-in Electric Vehicle (PEV) batteries in the distribution level. Different percentage scenarios of storage devices and renewable sources are tested on the IEEE 24 bus system. Wind and solar sources and storage devices are considered in specific buses in the standard 24 bus system. The impact of different penetration levels of renewables and storage is examined and the total operational cost of the system is calculated by the F-OPF. A predetermined day-ahead schedule is used for all generation units and storage devices and kept constant for all different scenarios of penetration for comparison purposes.
Optimisation of energy storage for an electricity system in the Indian scenario
International Journal of Renewable Energy Technology, 2017
The purpose of any electrical network is to provide electrical power reliably wherever it is needed, avoiding any loss of load. To do this effectively, electricity networks usually consist of various different types of plants, giving a generation portfolio. Energy storage plays a very vital role in renewable energy generation and allows for supply and demand. The action of the energy storage should allow for a reduction of the overall system fuel cost while still meeting the load demand. The fuel cost supply curve is plotted to estimate energy storage in order to minimise the overall system fuel cost. We have used the historical data for the electricity demand from the website of Central Electricity Authority of India. The energy storage is optimised to minimise the overall fuel cost for the system in order to maximise profit.
International Journal of Electrical Power & Energy Systems, 2012
This study analyzes power storage as a key option to support wind energy integration. The case study is the French power system, whose characteristics rely on high rates of nuclear power and a strong emerging wind energy market. A dynamic optimization dispatching model is used to simulate the operation of the power system, under two development scenarios of the technology mix by 2030, one scenario documented by European Commission, EC [1], and a second one by French Transmission System Operator, RTE [2]. Both scenarios result in power storage requirements of around 7 TWh for more than 4 GW installed storage capacity of pumped hydro power plants in France as a whole. In this context, it is assessed the profitability of an additional regional project of Compressed Air Energy Storage (CAES) located in the region of Bretagne. It shows how benefits could accrue by avoiding the regional wind curtailment of 59 GWh, by providing ancillary services such as secondary reserve, and by increasing the use of grid assets and the nuclear power output with more than 230 GWh. The profitability of the CAES project remains however negative, around À70 €/MWh despite the social value and the system benefits that results in. The study assesses qualitatively possible ways to incentivize the investment in new storage projects, through for instance contracts for difference, which would link the storage operation, its investment cost and stage of development to the power market design via power prices and a pre-defined rate of return. The periodical revision of these regulatory arrangements would enable the storage investor to recover the investment cost and would eliminate the risk of over rewarding generators in the case of windfall profits.