Agent-Based Electricity Market Simulation With Demand Response From Commercial Buildings

Zhou, Zhi; Zhao, Fei; Wang, Jianhui

doi:10.1109/tsg.2011.2168244

Cited by 150 publications

(76 citation statements)

References 17 publications

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“…3 The on-line part schematically depicts the dynamic operation of the AMES two-settlement system (parallel day-ahead and real-time market clearing). 4 In the off-line part, the distribution feeder is first selected, and then the structural house parameters required for implementation of the ETP model are then extracted. Next, to obtain a daily non price-responsive load profile at each feederextended AMES bus, a simulation is performed on each feeder with all conventional A/C systems turned off for all houses.…”

Section: Simulation Methodologymentioning

confidence: 99%

“…These LMPs are interpreted 3 Although in this study the load at only one AMES bus is extracted from the retail power system, the simulation methodology presented in this section assumes a more general case in which multiple AMES buses are potentially extended with loads extracted from retail power systems. 4 A two-settlement system design for wholesale power system operations has now been adopted in each of the seven U.S. ISO/RTO-managed energy regions: namely, CAISO, ERCOT, ISO-NE, MISO, NYISO, PJM, and SPP. as the (forward) market clearing price solutions determined in the day-ahead market on day 1 (along with cleared energy bid/offer solutions) for each hour of the following day.…”

Section: Simulation Methodologymentioning

confidence: 99%

“…Schneider et al [3] use the set-point adjustment method to study the effects of pricesensitive HVAC demand on the operations of a distribution feeder, where retail prices are exogenous values set by the modelers. Zhou et al [4] extend these studies by using realtime price realizations to test the effects of price-sensitive HVAC demand, whereas Fuller et al [5] use a price realization from a double-auction capacity management market.…”

Section: Introductionmentioning

confidence: 99%

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Effects of price-responsive residential demand on retail and wholesale power market operations

Thomas

Cai

Aliprantis

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-This paper describes a computational platform for studying the effects of price-responsive residential demand for air-conditioning (A/C) on integrated retail and wholesale power market operations. The physical operations of the A/C system are represented by means of the physics-based equivalent thermal parameter model. Residential A/C energy usage levels are determined by means of a stochastic dynamic-programming optimization in which the daily comfort attained by the resident is optimally traded off against his daily energy costs, conditional on retail energy prices, environmental conditions, and A/C operational constraints. An example is provided to illustrate the dynamic feedback loop connecting residential A/C load, the energy prices determined at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers by wholesale energy buyers.

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Section: Simulation Methodologymentioning

confidence: 99%

Section: Simulation Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of price-responsive residential demand on retail and wholesale power market operations

Thomas

Cai

Aliprantis

et al. 2012

2012 IEEE Power and Energy Society General Meeting

View full text Add to dashboard Cite

show abstract

“…However, consumers' responsive characteristics, namely how end users react to the time-varying prices, were not modeled and analyzed under market environment. Reference [24] modeled the consumption behavior of commercial buildings, and studied the impact from commercial buildings with price-responsive demand with different levels of DR penetration, but only GenCo agents were equipped with learning algorithms. Reference [25] presented a concept of a new market role, the ''Decentralized Market Agent'', which optimized the system operation and expansion on distribution grid level using demand side management.…”

Section: Introductionmentioning

confidence: 99%

Agent-based simulation for symmetric electricity market considering price-based demand response

Jiang

2017

J. Mod. Power Syst. Clean Energy

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With the development of electricity market mechanism and advanced metering infrastructure (AMI), demand response has become an important alternative solution to improving power system reliability and efficiency. In this paper, the agent-based modelling and simulation method is applied to explore the impact of symmetric market mechanism and demand response on electricity market. The models of market participants are established according to their behaviors. Consumers' response characteristics under time-of-use (TOU) mechanism are also taken into account. The level of clearing price and market power are analyzed and compared under symmetric and asymmetric market mechanisms. The results indicate that the symmetric mechanism could effectively lower market prices and avoid monopoly. Besides, TOU could apparently flatten the overall demand curve by enabling customers to adjust their load profiles, which also helps to reduce the price.

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“…The dispatch process is single direction and without taking into account of the impact of EV behavior on the power market. The influence of demand response on the bidding strategies of conventional generators is studied in [33]. In [34], MAS is used to study the bidding strategy of wind power supplier.…”

Section: Introductionmentioning

confidence: 99%

Coordinated scheduling model of power system with active distribution networks based on multi-agent system

Hao

Jiang

2017

J. Mod. Power Syst. Clean Energy

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With the large-scale development of distributed generations (DGs) and the connection into the main grid of active distribution networks (ADNs), traditional centralized dispatch of power system has encountered enormous challenge. In a bilateral electricity market, introducing ADN resources in the day-ahead generation schedule will not only enrich the dispatch patterns to the power system, but also reflect the initiative of ADNs. This paper proposes a coordinated scheduling model of power system with a plurality of ADNs based on multi-agent system where ADN agents are brought in the day-ahead market clearing. The process of market clearing and the dispatch of DGs in ADNs are independent with each other but linked together through the market clearing price (MCP) and bid volume. The optimal operating point of the whole system is achieved through multiple information exchange. In comparison with the dispatch without interaction between ADNs and the market operator (MO), the coordinated scheduling model is applied in a system with four ADNs to verify that the proposed method can improve the overall interests of ADNs. Finally, the effects of storage device and tie-line power limit are analyzed.

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Agent-Based Electricity Market Simulation With Demand Response From Commercial Buildings

Cited by 150 publications

References 17 publications

Effects of price-responsive residential demand on retail and wholesale power market operations

Effects of price-responsive residential demand on retail and wholesale power market operations

Agent-based simulation for symmetric electricity market considering price-based demand response

Coordinated scheduling model of power system with active distribution networks based on multi-agent system

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