2018
DOI: 10.1049/iet-stg.2018.0048
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Game theory based bidding strategy for prosumers in a distribution system with a retail electricity market

Abstract: Distributed energy resources (DERs) are deployed vastly to reduce carbon emission, improve power quality and maintain the reliability of distribution systems. With the introduction of new players, such as prosumers, which are constructed with DERs, distribution system operators (DSOs) are facing changes in the retail electricity market. Prosumers need a well‐defined strategic bidding mechanism to maximize their operation revenue, while DSOs need a new market clearing mechanism for the changed retail electricit… Show more

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Cited by 28 publications
(21 citation statements)
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“…where (p, h, w, d) is the set of adaptive second-stage decisions based on first-stage decisions p and uncertainty sets z and O. y is the second-stage decisions, including p, h, w, d. Equation (33) represents the constraints related to only firststage variables (1), (28), (30) and (31), where equation (34) collects constraints (4)- (12) and (15)- (23). Equation (35) accounts for constraints (13) and (26), which involve uncertain RES power generation.…”
Section: Solution Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…where (p, h, w, d) is the set of adaptive second-stage decisions based on first-stage decisions p and uncertainty sets z and O. y is the second-stage decisions, including p, h, w, d. Equation (33) represents the constraints related to only firststage variables (1), (28), (30) and (31), where equation (34) collects constraints (4)- (12) and (15)- (23). Equation (35) accounts for constraints (13) and (26), which involve uncertain RES power generation.…”
Section: Solution Methodologymentioning
confidence: 99%
“…3, where transformers, switches and voltage regulators are removed and the system is assumed to be balanced. The parameters of CCHP units are from [31]. The historical wind power generation data is from [32].…”
Section: A Networked Microgridsmentioning
confidence: 99%
“…For an FL we generated 100 scenarios and reduced to 5 scenarios. Table 3 (19) For simplicity, we consider a number of FL scenarios at each bus is same and their values are obtained by scaling down total FL demand of all buses, i.e. P t, ω FL by multiplying it with real power at each bus, i.e.…”
Section: Stochastic Optimisation-scenarios Generation and Reductionmentioning
confidence: 99%
“…Recently, [25] discussed the strategy for a DER aggregator in the market environment. In addition, the game-theoretical approach was utilised in [26,27] to model the bidding strategy of DER. Moreover, a distribution company is considered to participate in market trading through strategic bidding [28].…”
Section: Load-side Benefitmentioning
confidence: 99%