Optimal energy storage sizing and offering strategy for the presence of wind power plant with energy storage in the electricity market

Abstract

Summary The current paper aims to simultaneously propose wind power and charge and discharge curve of the battery and analysis effect of the battery on the offering wind power in the different conditions. This paper aims to determine optimal battery specifications to maximize the objective function in a new method, given the impact of battery costs in the objective function. The proposed strategy is based on the production probabilistic scenarios for wind power generation and electricity prices on the day ahead market. Moreover, the penalty factors are used to account for changes to the proposed wind power. Reducing the effective number of scenarios and assign probabilities to each scenario is conducted using self‐organizing feature map neural network in a new method. A 2‐stage stochastic programming method and PSO meta‐heuristic algorithm are used in maximizing the objective function. The simulation results show the effectiveness of the proposed strategy.

Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems

“…Therefore, a smaller group of the weather stations to represent the regions of interest was selected. After this, a typical year was considered for the assessment as in other related works . The average between the Brazil's demand of 2014 and 2015 was used and was projected to 2050 .…”

“…21 Currently, many researchers have been assessing the optimal mix between wind and solar power. Some researchers run a set of timeseries to assess the uncertainty of results, 22 or run a set of scenarios to represent the stochastic behaviour of renewable energy, 23,24 and others consider one typical year. [25][26][27] Some researchers have used monthly resolution data, 22 daily resolution data, 28 the day divided in five periods and considering four days per year, 29,30 or hourly resolution data.…”

“…After this, a typical year was considered for the assessment as in other related works. 23,27,29 The average between the Brazil's demand of 2014 and 2015 39 was used and was projected to 2050. 37 The load factor of the average day of winter and summer of 2014 41 was used.…”

“…where R k is the solar radiation (in J/m 2 ) on the time (k) for the typical year and A p is the useful area of the photovoltaic panels (in m 2 ). The CF of hydropower can be calculated by Equation 23.…”

Probabilistic modeling of renewable energy source based on Spark platform with large-scale sample data

“…The probabilistic methods can make proposed solutions less sensitive to environmental impacts, while achieving simultaneously cost reduction or reliability improvement . The integration of high‐penetration renewable energy source (RES) into power systems brings about many challenges associated with uncertainties of RES . To reasonably evaluate the impact of RES uncertainties on power systems, it is crucial to build RES probability models.…”