Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems

Abstract

Integrating distributed generation (DG) into the main grid is a challenge for the safety and stability of the grid. The application of peer-to-peer (P2P) technology in microgrids with distributed generation is expected to facilitate increased self-consumption of distributed and renewable energy, and the rise of prosumers’ monetary benefits. A P2P energy trading model in microgrids with photovoltaic (PV) distributed generation and battery energy storage systems (BESSs) is proposed in this paper. We additionally designed a P2P electricity trading mechanism based on coalition game theory. A simulation framework of this model is presented which assumed a local community with 30 households under comprehensive constraints encompassing a customer load profile, PV system, BESSs, market signals including feed-in tariffs, and retail prices. Firstly, individual customers can post orders (purchasing orders or selling orders) and exchange information in a P2P energy trading market. Secondly, the microgrid operator can validate the orders based on how to achieve the minimum overall energy consumption in microgrids and set reasonable real-time purchasing and selling prices for P2P energy transactions. Thirdly, the orders can be automatically conducted and completed at the designed optimal price. This mechanism can be a practical solution motivating individual customers to participate in P2P electricity trading, assist with electricity cost reduction, benefit from electricity supply increases, and help the grid operators to make the most economically and socially friendly decisions.

Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

“…Figure 1 shows the area of fuzzy rule base determined by error (E) and changing error (CE) as input of fuzzy control. Rule bases can be divided into four areas according to errors and changing errors as shown in Equations ( 3)- (6).…”

“…Activating these smart grids requires spreading small-scale distributed power and building micro grids. Nowadays, in the energy market, small-scale distributed power sources based on renewable energy are spreading, and installation of the micro grid is continuing as a result [5][6][7].…”

Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions

“…The prosumers can achieve a ''win-win'' situation by searching for a satisfactory trading price and by reaching an agreement in a seamless way. The marginal price of P2P electricity transactions should be cheaper than the retailer tariff and higher than the feedin tariff (i.e., the price of electricity export to the grid) so that P2P can provide savings for buyers and profit for sellers [8]. The work in [9] highlights potential benefits of P2P energy trading: the maximization of renewable energy usage, the reduction of electricity cost, the shaving of peak load, the empowerment of the prosumers, and the minimization of network operation and investment costs.…”

“…Typically, optimization methods that determine local market transaction using centralised approaches consider a small number of users involved due to the computational burden [22]- [24]. On contrast, methods that consider a large number of users use iterative process [3] or determine the local transaction after the DSM optimization is finished [8], [25].…”

PRiME 2020 #F01-1561

“…Progress and a price reduction of the photovoltaic power generation technology are important research themes (1)(2)(3)(4)(5)(6)(7)(8). Then, it is splendid if the poisonous plant and the activated carbon can be used.…”