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Erschienen in: Intelligent Industrial Systems 1/2015

01.06.2015 | Original Paper

Optimal Operation of a Residential Microgrid: The Role of Demand Side Management

verfasst von: Gabriella Ferruzzi, Giorgio Graditi, Federico Rossi, Angela Russo

Erschienen in: Intelligent Industrial Systems | Ausgabe 1/2015

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Abstract

In this paper demand side management (DSM), characterized by shifting techniques, is applied to a residential microgrid. It is supposed that the microgrid is managed by a prosumer, a decision maker who manages distributed energy sources, storage units, ICT elements, and loads involved in the grid. DSM is considered as an integral part of the optimal economic short-term management problem such that the allocation of shiftable loads is treated as a variable must be determined simultaneously with all the others variables (i.e. energy exchange with the main grid, internal production, charge/discharge of electrical storage units). This paper focuses on the formulation of an economic model including functional links between shiftable and shifted loads properly linked. The objective function is the minimization of the operation energy costs. The model is implemented using IBM ILOG CPLEX an optimization programming language solver. The analysis shows how the variable allocation of shiftable loads is related to the other variables and how all the variables are linked (directly or indirectly) to the energy price and to the other parameters typical of shiftable energy devices. Moreover, the model allows to easily perform sensitivity analyses by varying the parameters considered. For instance, transitioning from the pre-shift to post-shift state, an improvement of the economic objective corresponds to an enhancement in the utility load profile. A sensitivity analysis is carried out by varying the maximum amount of power exchanged with the main grid. Results provide useful information to find a compromise between connecting interests. Numerical results are presented and discussed.

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Fußnoten
1
For simplicity, the loads of the microgrid are only electrical loads. If thermal loads exist, the thermal energy is produced by the boilers.
 
2
Investment costs can be significant. They include costs for the smart meter, software and maintenance of the control center, the energy management system and the data exchange unit.
 
3
If the selling price is different from the purchase price, it is necessary to introduce an exclusivity constraint [32], using, for instance, a new binary variable that takes the value 1 if the microgrid sells power to the main grid and takes the value 0 if the microgrid buys power from the main grid.
 
4
In a hostile context, the microgrid buys and sells energy at different prices; it buys energy at a high price (obtained by summing the wholesale market, transmission and distribution prices) and sells energy at the wholesale market price [5].
 
5
In the day-ahead auctions, the energy is valorised at market clearing price, that is the price in correspondence of equality between total quantity demanded and total quantity offered. Each seller or buyer, whose offer has been accepted, receives or pays the price determined at the equilibrium point.
 
6
The first order conditions of the optimization problem, taking the \(P_{grid_{t}}\) on the bound, does not provide further equality between prices and marginal costs.
 
7
The pre-shift load is: \(\sum _{j \in \varOmega _{D_{e}}}{P'_{D_{e_{t,j}}}}=\sum _{j \in \varOmega _{D_{F}}}{P_{D_{F_{t,j}}}}+\sum _{j \in \varOmega _{{SH}}}\) \({D_{SH_{t,j}}}\). The post-shift load is: \(\sum _{j \in \varOmega _{D_{e}}}{P_{D_{e_{t,j}}}}=\sum _{j \in \varOmega _{D_{F}}}{P_{D_{F_{t,j}}}}+\sum _{j \in \varOmega _{{SH}}}{P_{SH_{t,j}}}\). In presence of storage units, the two above mentioned relations must to be completed adding the total power of storage units, \(\sum _{j \in \varOmega _{SE}}{P_{SE_{t,j}}}\).
 
8
Case 1: pre-shift (a) and post-shift (b) state with RTP1 rate. Case 2: pre-shift state with RTP2 rate (a), post-shift state with RTP2 rate (b), post-shift state with RTP2 rate and \(P_{grid}^M=735\) kW (c), post-shift state with RTP2 rate and \(P_{grid}^M=200\) kW (d), pre-shift state in presence of storage system with RTP2 rate (e), post-shift state in presence of storage system with RTP2 rate (f).
 
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Metadaten
Titel
Optimal Operation of a Residential Microgrid: The Role of Demand Side Management
verfasst von
Gabriella Ferruzzi
Giorgio Graditi
Federico Rossi
Angela Russo
Publikationsdatum
01.06.2015
Verlag
Springer Singapore
Erschienen in
Intelligent Industrial Systems / Ausgabe 1/2015
Print ISSN: 2363-6912
Elektronische ISSN: 2199-854X
DOI
https://doi.org/10.1007/s40903-015-0012-y

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