A vision of flexible dispatchable hybrid solar‐wind‐energy storage power plant

With the increasing demand for electricity and the significant growth of renewable energy sources (RES), especially wind power, the need for new services to increase system flexibility has increased more than ever. Flexibility services can enhance system security. This paper proposes a framework for enhancing system flexibility by integrating emerging services for running the day‐ahead energy, spinning, and flexible ramping product (FRP) markets, considering high wind power penetration. Due to the uncertainty of wind power production, this framework is presented as a stochastic network‐constraint unit commitment (NCUC) problem. The services that are implemented simultaneously in the problem include transmission switching (TS), demand response (DR) program, and transportable battery energy storage (TBES). Moreover, two new indices are introduced to evaluate the effects of flexibility services. Another contribution of this paper is performing comprehensive studies for comparing various case studies in normal and the worst contingency conditions of the network. The IEEE RTS‐79 test system is employed to approve the effectiveness of the proposed framework. The results of various case studies show that using emerging services together increases power grid flexibility and reduces system operating costs.

Section: Transmission Constraints With Tsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving the flexibility of power systems using transportable battery, transmission switching, demand response, and flexible ramping product market in the presence of high wind power

Shoferpour

Karimi

2023

“…The HTF transfers the heat energy to the PB to generate high-temperature steam to drive the steam turbine to do work, and at the same time store a part of the heat energy in the TES, so that the CSP plant has good dispatching characteristics, which is also an advantage compared with photovoltaic power generation. The thermal energy received by SF of CSP plants is defined in Equations ( 33) and (34). Equations ( 35)-( 40) are operational constraints of TES.…”

Section: Csp-fruc Modelmentioning

confidence: 99%

Dynamic frequency control strategy for the CSP plant in power systems with low inertia

Fang,

Du,

Wang

et al. 2023

Variable renewable energy integration poses a challenge to the secure operation of the power system, especially for frequency security. How to provide frequency response to maintain satisfactory frequency performance is still an open question. Concentrating solar power, with renewable energy characteristics and synchronous units, is a potential solution to the frequency response problem. This paper discusses how concentrating solar power plants can be employed to ensure frequency security and proposes its dynamic frequency control strategy accordingly. The proposed strategy is contained in a novel unit commitment model with a primary frequency response and a secondary frequency response to co‐optimize the energy reserve. The validity of the unit commitment model and proposed control strategy is verified by two case studies including a modified 6‐bus and RTS‐79 system.

“…Today, various methods such as PV integration system, maximum power point tracking techniques etc. are offered to increase the efficiency of PV operation [32][33][34][35]. The PV system desired includes several diodes with series and parallel connections [36].…”

Section: Pv Module Systemmentioning

confidence: 99%

Enhancement of power quality issues for a hybrid AC/DC microgrid based on optimization methods

Khosravi¹,

Echalih

Baghbanzadeh

et al. 2022

The purpose of this paper is to study the harmonic behavior of hybrid microgrids (MGs). To achieve the desired goal, a modified active power filter (MAPF) and a power filter compensator kit (PFCK) modules have been used to improve the harmonics of the AC part of the system. The main challenge and feature of this research is the optimization of MAPF and PFCK controller gain coefficients hierarchical, using Harris hawk optimization (HHO), grasshopper optimization algorithm (GOA), artificial bee colony (ABC), and differential evolution (DE), respectively. Following, this technique was applied in the three control loops including, voltage and current harmonics, and system controller error to reduce the range of the mentioned harmonics to the permissible range. The method will be interesting considering that the PI and PID tuning is based on parallel feed‐forward. The programmed objective functions include the three components current THD, voltage THD and controller error hierarchically. From the point of view of the MGs hierarchical control, the method presented in this study will be implemented in the second level of hierarchical control. In order to improve the operation of the DC part of the grid, a boost converter module (BCM) has been introduced in the form of a new synchronization scheme. The output of the simulation shows the reduction of the harmonic amplitude of the system by the mentioned modules.