Economic evaluation for wind power generation-hybrid energy storage system based on game theory

Abstract

Summary The installation of energy storage system to smooth the fluctuations of wind power output connected to the grid can effectively improve the electric quality and increase economic benefits of wind‐generated electricity. Aiming at the overall profit maximization of wind power generation and storage system (WPGSS), taking the smoothing effect of active power output, the cost of hybrid energy storage system, and the earnings of wind power connected to the grid into consideration, this paper brings forward a game theory‐based coordination and optimization control methodology for WPGSS adopting two low‐pass filters to smooth the fluctuation of wind power output. The smoothing control to the active power of wind power and the power distribution of the hybrid energy storage system is respectively achieved by regulating the time constants of the two filters. With the combinations of wind power–batteries and wind power–super‐capacitors as game's participants and the maximization of the WPGSS's overall profit as game's goal constraint conditions, game theory is introduced to realize the coordination and optimization between the time constants of the two filters. For comparative analysis, the model's optimal solution is respectively worked out by genetic algorithm and particle swarm optimization. The simulation results verify the effectiveness of the proposed method and provide a theoretical basis for the economic evaluation of the WPGSS. Copyright © 2016 John Wiley & Sons, Ltd.

A Game Theory‐Based Coordination and Optimization Control Methodology for a Wind Power‐Generation Hybrid Energy Storage System

“…To take the wind power smoothing effect and the cost of the HESS into account, strategy sets of the cooperative game model are built as follows [22]…”

“…The cooperative game model has an optimal solution P Ã set ; P Ã b ; P Ã c À Á . Under the optimal solution, (P set , P b , P c ) satisfies the following formula [22].…”

“…3.2 Decision-making flow of the cooperative game model for the WPGSS In order to evaluate the smoothing effect of active power, we define the "sectional fluctuation rate" as: if the power output of the wind electricity system is divided based on Δt=1 min, it may be divided into 1,440 small sections within 24 hours [19]. Here set sampling points Day = 1440, the sectional fluctuation rate of the ith small section is given by (23) [22].…”

Predictive energy management for a wind turbine with hybrid energy storage system

“…As stated by the authors, among other alternatives, model predictive control (MPC) techniques can be used in microgrids to optimize the energy management between distributed energy sources and ESSs. An economic evaluation based on game theory for wind power generation − HESS was conducted in Reference . The main objective was to improve the power quality by smoothing the output power of the wind farm using a combination of batteries and UCs.…”

Intermittent Smoothing Approaches for Wind Power Output: A Review

“…However, they suffer from high capital cost [99]. The cooperative game model between ultra-capacitor and batteries is proposed in [100]. This model not only smoothens the power fluctuations but also reduces the cost of the system.…”