دکتر مجید علومی بایگی

Low-cost lithium-sulfur batteries (LSBs) with high specific energy density have drawn the attention of the industrial community as lithium-ion batteries get closer to their theoretical limits. However, their commercialization is constrained by the use of lithium metal anodes and the shuttle effect of lithium polysulfides (LiPSs) in redox processes. Ketjenblack (KB) was used in this research work to embed cobalt nanoparticles with a diameter smaller than 40 nm in order to create a suitable and affordable cathode host. Incorporating Co nanoparticles with KB that has a porous structure and great electrical conductivity allows the host to confine LiPSs chemically and physically, which is beneficial for lowering the shuttle effect and lengthening the lifespan of LSBs. Additionally, by using the lithiated form of sulfur (Li2S) rather than sulfur as the cathode material, the lithium source was moved from the anode to the cathode, reducing the safety concerns related to Li metal anodes and enabling the use of non-metallic anode materials like silicon and tin in LSBs. Li2S-Co@KB cathode has an initial discharge capacity of 850.3 mAh gLi2S-1. The cell has shown strong cycling stability at a 0.5 C current rate for over 300 cycles, with low capacity fading of 0.19% per cycle, as well as exceptional C-rate performances up to 5 C.

The transmission network expansion planning is necessary for supplying the future needs, considering load growth. Furthermore, in restructured environments, transmission lines provide the required infrastructure for creating a competitive environment. In recent years, there has been a significant advancement in storage technologies. This advancement leads to using energy storage systems to postpone the construction or replacement of transmission lines. Therefore, in this paper, the problems of transmission expansion planning and energy storage systems deployment are investigated simultaneously. Considering the presence of storage devices and their effect on network operation cost, in this paper, the operation cost is modeled as an independent objective function along with investment cost. Moreover, the problems of transmission and storage expansion planning are modeled as a tri-objective optimization problem with the objectives of reducing costs and increasing the social welfare index in the power market. The multi-objective shuffled frog leaping evolutionary algorithm is used to solve these problems. The presented model for expansion planning is implemented and analyzed on IEEE 24-bus test system in the presence and absence of energy storage systems, and the effect of change in the price of energy storage systems is studied. The results of this research show that as the technology advances and the storage costs decrease, energy storage systems can play a pivotal role in reducing expansion planning costs of the power network and improving market-based indices in the restructured environment.

Intermittent nature of wind power faced ISO and power producers with new challenges. Wind power uncertainty has increased the required reserve capacity and deployment reserve. Consequently, large-scale wind power generation increases ISO costs and consequently reserve prices. On the other hand, since wind power producers are price taker, large-scale wind power generation decreases residual demand and consequently decreases energy and reserve prices. In this paper, impacts of large-scale wind power generation on energy and reserve markets are studied. To this end, we need to know bids of power producers. But, bids of power producers are unknown and changes if wind power penetration is varied. To overcome this problem, first equilibrium of day-ahead energy market is computed at the presence of large-scale wind power generation considering hour-ahead deployment reserve market scenarios. Then, equilibrium of hour-ahead reserve market is computed considering results of day-ahead market. Finally, impacts of large-scale wind power generation on energy and reserve markets are studied at the markets equilibria. The presented model is applied to an 18-unit power system and the results are analyzed.

In this paperý, ýthe impacts of premium bounds of put option contracts on the operation of put option and day-ahead electricity markets are studiedý. ýTo this endý, ýfirst a comprehensive equilibrium model for a joint put option and day-ahead markets is presentedý. ýInteraction between put option and day-ahead marketsý, ýuncertainty in fuel price, impact of premium bounds, and elasticity of consumers to strike priceý, ýpremium price, and day-ahead price are taken into account in this modelý. ýThen, a new method for put option pricing is proposed. By applying the presented model to a test system the impacts of premium bounds on equilibrium of joint put option and day-ahead markets are studiedý.