Research on the Optimized Operation of Hybrid Wind and Battery Energy Storage System Based on Peak-Valley Electricity Price

Abstract

The combined operation of hybrid wind power and a battery energy storage system can be used to convert cheap valley energy to expensive peak energy, thus improving the economic benefits of wind farms. Considering the peak–valley electricity price, an optimization model of the economic benefits of a combined wind–storage system was developed. A charging/discharging strategy of the battery storage system was proposed to maximize the economic benefits of the combined wind–storage system based on the forecast wind power. The maximal economic benefits were obtained based on scenario analysis, taking into account the wind-power forecast error, and costs associated with the loss of battery life, battery operation, and maintenance. Case simulation results highlight the effectiveness of the proposed model. The results show that the hybrid wind–storage system is not only able to convert cheap electricity in the valley period into expensive electricity in the peak period, thus resulting in higher economic benefits, but can also balance the deviation between actual output and plans for the wind power generator to decrease the loss penalty. The analyzed examples show that, following an increase in the deviation of the forecast wind power, the profit of the combined wind–storage system can increase by up to 45% using the charging/discharging strategy, compared with a wind farm that does not utilize energy storage. In addition, the profit of the combined wind–storage system can increase by up to 16% compared with separate systems, following an increase in the deviation penalty deviation coefficient.

Research Progress and Application Prospects of Solid-State Hydrogen Storage Technology

“…This poses a severe challenge to the peak shaving capability of the power grid. At present, thermal power peak shaving and pumped storage meet the demand with difficulty, and there is an urgent need to develop more flexible and efficient new energy storage technologies [126][127][128][129]. Hydrogen energy storage happens to meet this demand.…”

Community Flexible Load Dispatching Model Based on Herd Mentality

“…Refs. [9][10][11] establishes users' response model under time-of-use price as shown in Figure 3. They assume that the degree of users' participation in demand response is related to the peak valley difference price.…”

“…However, for the community-level load scheduling system, the user's actual response often does not match the planned expectations due to the strong randomness of the user's energy consumption behavior. Therefore, from the perspective of community users, some studies have used theories related to consumer psychology to describe the response behavior of users [9][10][11]. The peak and valley difference electricity price guides users to participate in the response behavior to maximize the active response-ability of community flexible load to participate in grid dispatching, which has practical reference significance.…”

Feasibility Analysis of a Direct-drive PV Heat Pump System Based on Phase Change Heat Storage

“…The addition of a phase change accumulator as a solar energy storage module not only solves the intermittent nature of solar energy but also effectively reduces costs and extends the service life compared to battery storage methods [13,14] . The use of a valley power-driven compressor to store energy for phase change heat accumulator can not only enjoy the preferential policies [15] brought by valley power price to users but also further improve the utilization rate of phase change heat accumulator.…”