검색 상세

Development of Operator-oriented Peer-to-peer Energy Trading Model for integration into the Existing Distribution System

현 배전시스템 연계를 위한 운영자 중심의 P2P전력거래 모델 개발

초록/요약

This paper proposes a peer-to-peer (P2P) energy trading model to be integrated in the existing distribution system. For this, the operator-oriented trading scheme is developed to lower the barriers to entry into the P2P trading. Under this, the operator, rather than each participant, decides the trading price and trading schedules. To determine the trading price, the marginal price that accommodates various electric tariffs and sales systems are derived. The analysis for the wide range of tariffs and sales system has been conducted to be a trading model that accommodate a variety of current customers in the trading. Furthermore, to be a feasible trading model, service charges that include network usage charge and platform service charge are also derived. The former targets to compensate the utility company’s support that allows participants to trade energy and the latter ensures the platform operator’s economic benefit. Both service charges model draws the relevant entities’ participations to P2P trading. Based on the derived elements mentioned above, a matching algorithm is finally formulated. For this, a constrained optimization problem is derived, and Lagrange multiplier method is applied to make optimal trading schedule that results in maximizing social welfare while preventing imbalances in revenue between sellers and buyers. To verify the performance of the proposed P2P trading scheme, actual data for various types of load and distributed energy resources is applied on the IEEE 18 bus distribution system.

more

목차

I. Introduction 1
II. Modellingthe marginal price and electric bill 5
II.A. Marginal buying price model 6
II.A.1. Cumulative rate (Block rate pricing) 6
II.A.2. Time of use (TOU) and other tariffs 8
II.B. Marginal selling price model 10
II.B.1. Net metering system 10
II.B.2. DERs sales system 11
II.C. Service charges model 13
II.C.1. Platform service charge (PSC) 13
II.C.2. Network usage charge (NUC) 16
II.D. The transition of the electric bill before/after P2P trading 19
III. Modelling P2P energy trading and its algorithm formulation 21
III.A. Trade price determination 22
III.B. Matching algorithm formulation 23
III.C. Overall trading process and price modulation 27
IV. Case study 31
IV.A. Simulation assumption 31
IV.A.1. Input data description 32
IV.A.2. Tariff description 34
IV.B. Service charge calculation results 37
IV.C. Simulation results for a day 38
IV.C.1. Price determination results 38
IV.C.2. Matching results 40
IV.D. Simulation results for the month 43
IV.D.1. Price modulation results for block rate pricing 43
IV.D.2. Matching results for the month 45
IV.D.3. Service charge calculation results for the month 49
V. Conclusion 51
References 52

more