Optimal Scheduling for Local Energy Communities Using Stochastic and Robust Optimization

Cruz-De-Jesús, Emely; Martínez-Ramos, José L.; Marano-Marcolini, Alejandro

doi:10.1109/sest53650.2022.9898492

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…Linear Programming [13,27,28,34] Mixed-integer linear programming (MILP) [9][10][11][12]14,16,[18][19][20][21][22][23][24][25]29,32,33,[35][36][37][38] Nonlinear programming (NLP) [15] 4.2.1. Linear Programming (LP)…”

Section: Optimization Technique Referencementioning

confidence: 99%

“…Ref. [35] assessed the minimization of the operating cost of an LEC that incorporated interruptible and noninterruptible loads, a PV plant, and a BESS. Stochastic and robust optimization were used to program the resources, taking into account the uncertainty in demand load, electricity prices, and PV generation.…”

Section: Mixed-integer Linear Programming (Milp)mentioning

confidence: 99%

“…In [35], the uncertainties in demand load, PV generation, and electricity prices were modeled using robust and stochastic optimization. With regard to the robust optimization, in this LEC, the worst-case scenario was considered as an increase in the electricity prices and demand load, and a reduction in the PV generation.…”

Section: Robust Optimizationmentioning

confidence: 99%

“…Table 3 summarizes the ancillary and flexibility services included in the EC operation programs. DG (distribution generator: small hydro, wind, photovoltaic, biomass, fuel cell, cogeneration) and DR consumers and different scale of consumers DRP: Consumers that reduce their energy according to DR target [28] Electric vehicle, PV system Flexibility using electric vehicles [35] Interruptible loads, noninterruptible loads, photovoltaic plant, BESS Flexible loads: Interruptible load [30] Noncontrollable (NCL), controllable loads (CLs), renewable energy sources (RESs), CES Flexible loads: There is no revenue from flexibility [31] BESS, EV, Photovoltaic system Manual frequency restoration reserve (mFRR) or tertiary reserves: BESS is used to provide flexible services [33] Rooftop PV, residential demand, flexible residential loads Increase and reduction in flexible loads [9] PV system (solar panels), BESS, and thermal energy storages: EWH Flexibility bids to the LMO [17] ESS, EV, distpachable generators (DGs), inflexible loads, interruptible loads, reducible loads, shiftable loads DRP: direct load control programs, voluntary, monetary compensation…”

Section: Ancillary Servicesmentioning

confidence: 99%

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Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

2022

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In recent years, there has been a growing interest in the study of energy communities. This new definition refers to a community sharing energy resources of different types to meet its needs and reduce the associated costs. Optimization is one of the most widely used techniques for scheduling the operation of an energy community. In this study, we extensively reviewed the mathematical models used depending on the objectives and constraints considered. The models were also classified according to whether they address uncertainty and the inclusion of flexibility constraints. The main contribution of this study is the analysis of the most recent research on the mathematical formulation of optimization models for optimal scheduling of resources in energy communities. The results show that the most commonly used objectives are profit maximization and cost minimization. Additionally, in almost all cases, photovoltaic generation is one of the main energy sources. Electricity prices, renewable generation, and energy demand are sources of uncertainty that have been modeled using stochastic and robust optimization. Flexibility services using demand response are often modeled using interruptible loads and shiftable loads. There is still considerable room for further research on the distribution of benefits among the participants of the energy community and the provision of flexibility services to the electricity grid.

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