Distributed Market Clearing Approach for Local Energy Trading in Transactive Market

This paper proposes a market clearing mechanism for energy trading in a local transactive market, where each player can participate in the market as seller or buyer and tries to maximize its welfare individually. Market players send their demand and supply to a local data center, where clearing price is determined to balance demand and supply. The topology of the grid and associated network constraints are considered to compute a price signal in the data center to keep the system secure by applying this signal to the corresponding players. The proposed approach needs only the demanded/supplied power by each player to reach global optimum which means that utility and cost function parameters would remain private. Also, this approach uses distributed method by applying local market clearing price as coordination information and direct load flow (DLF) for power flow calculation saving computation resources and making it suitable for online and automatic operation for a market with a large number of players. The proposed method is tested on a market with 50 players and simulation results show that the convergence is guaranteed and the proposed distributed method can reach the same result as conventional centralized approach.Comment: Accepted paper. To appear in PESGM 2018, Portland, OR, 201

Real-time enforcement of local energy market transactions respecting distribution grid constraints

International audienceFuture electricity distribution grids will host a considerable share of the renewable energy sources needed for enforcing the energy transition. Demand side management mechanisms play a key role in the integration of such renewable energy resources by exploiting the flexibility of elastic loads, generation or electricity storage technologies. In particular, local energy markets enable households to exchange energy with each other while increasing the amount of renewable energy that is consumed locally. Nevertheless, as most ex-ante mechanisms, local market schedules rely on hour-ahead forecasts whose accuracy may be low. In this paper we cope with forecast errors by proposing a game theory approach to model the interactions among prosumers and distribution system operators for the control of electricity flows in real-time. The presented game has an aggregative equilibrium which can be attained in a semi-distributed manner, driving prosumers towards a final exchange of energy with the grid that benefits both households and operators, favoring the enforcement of prosumers' local market commitments while respecting the constraints defined by the operator. The proposed mechanism requires only one-to-all broadcast of price signals, which do not depend either on the amount of players or their local objective function and constraints, making the approach highly scalable. Its impact on distribution grid quality of supply was evaluated through load flow analysis and realistic load profiles, demonstrating the capacity of the mechanism ensure that voltage deviation and thermal limit constraints are respected

Mechanism Design Approach for Energy Efficiency

In this work we deploy a mechanism design approach for allocating a divisible commodity (electricity in our example) among consumers. We consider each consumer with an associated personal valuation function of the energy resource during a certain time interval. We aim to select the optimal consumption profile for every user avoiding consumption peaks when the total required energy could exceed the energy production. The mechanism will be able to drive users in shifting energy consumptions in different hours of the day. We start by presenting a very basic Vickrey-Clarke-Groves mechanism, we discuss its weakness and propose several more complex variants.Comment: Techical repor

The conception of the aggregator in demand side management for domestic consumers

In the demand side management (DSM) the aggregator is appearing as a key player in managing the demand during the peak hours by acting as an energy manager between the utility and the consumer. In this work, an emerging concept of the energy service provider as a business entity for domestic consumers is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the interaction among the three players

Design of a Framework for the Aggregator using Demand Reduction Bid (DRB)

Demand side management (DSM) in smart grid paradigm is an energy management strategy of the grid using advanced data communication and networking. The aggregator, a third party entity, is appearing as a key player in managing the demand during the peak hours between the utility and the consumer. In this work, a general framework is discussed and focuses on the interactional issues between the utility, the aggregator and the consumers. The paper also discusses the role of communication in the context of interaction among the three players. In addition, it also presents the model of the framework which can enable the consumer to effectively participate in the DSM. The proposed model considers the direct load control (DLC) program which uses the concept of demand reduction bid (DRB) in aggregated demand response. Keywords: Aggregator, Demand reduction bid (DRB), Direct load control (DLC), Framewor