Multi-objective operation control method for micro energy grid

A multi-objective operation control method for a micro energy grid, wherein the method comprises:

• (1) establishing optimization objectives of the micro energy grid, which comprises comprehensive income maximization and comprehensive energy utilization rate maximization;
• (2) using GAMS software to solve for an optimal solution and a worst solution for each optimization objective;
• (3) processing the optimization objectives by means of a weighting method;
• uniformly changing a weighting coefficient, and acquiring a Pareto frontier by the GAMS software;
• (4) acquiring reference satisfaction levels of Pareto optimal solutions according to a fuzzy membership degree, and selecting the Pareto optimal solution with a maximum reference satisfaction level as an optimal compromise solution;
• and
• (5) executing scheduling of the micro energy grid according to the optimal compromise solution,
• wherein the comprehensive income f1 comprises an energy service income CSer, an energy trade income CTrade, an operation and maintenance cost COM and a carbon tax cost CCO2:
• f
• 1
• =
• C
• Ser
• +
• C
• Trade
• -
• C
• OM
• -
• C
• CO
• ⁢
• ⁢
• 2
• {
• C
• Ser
• =
• ∑
• t
• =
• 1
• T
• ⁢
• (
• c
• e
• ,
• t
• ⁢
• L
• e
• ,
• t
• +
• c
• h
• ,
• t
• ⁢
• L
• h
• ,
• t
• +
• c
• g
• ,
• t
• ⁢
• L
• g
• ,
• t
• )
• ⁢
• Δ
• ⁢
• ⁢
• t
• C
• Trade
• =
• ∑
• t
• =
• 1
• T
• ⁢
• (
• c
• e
• ,
• t
• sell
• ⁢
• S
• e
• ,
• t
• sell
• -
• c
• e
• ,
• t
• buy
• ⁢
• S
• e
• ,
• t
• buy
• -
• c
• g
• buy
• ⁢
• S
• g
• ,
• t
• buy
• )
• ⁢
• Δ
• ⁢
• ⁢
• t
• C
• OM
• =
• ∑
• t
• =
• 1
• T
• ⁢
• [
• ∑
• n
• =
• 1
• N
• ⁢
• c
• d
• ,
• n
• ⁢
• P
• n
• ,
• t
• i
• ⁢
• ⁢
• n
• +
• ∑
• k
• =
• 1
• K
• ⁢
• c
• s
• ,
• k
• ⁡
• (
• Q
• k
• ,
• t
• dis
• +
• Q
• k
• ,
• t
• ch
• )
• ]
• C
• CO
• ⁢
• ⁢
• 2
• =
• ∑
• t
• =
• 1
• T
• ⁢
• c
• c
• ⁡
• (
• a
• e
• ⁢
• S
• e
• ,
• t
• buy
• +
• a
• g
• ⁢
• S
• g
• ,
• t
• buy
• )
• ⁢
• Δ
• ⁢
• ⁢
• t
• wherein Δt is an optimization time interval, and T is a total optimization time period;
• Le,t, Lh,t, and Lg,t are powers of electricity, heat and natural gas of a user during a time period t respectively, and a value range of t is 1 to T;
• ce,t, ch,t and cg,t are prices of electricity, heat and natural gas services respectively provided by the micro energy grid to the user during the time period t;
• Sbuy e,t, Ssell e,t and Sbuy g,t are a power of electricity bought from an electricity grid by the micro energy grid and a power of electricity sold to the electricity grid from the micro energy grid and a power of the natural gas bought from a gas grid respectively during the time period t;
• cbuy e,t, csell e,t and cbuy g,t are a price of electricity bought from the electricity grid by the micro energy grid and a price of electricity sold to the electricity grid from the micro energy grid and a price of the natural gas bought from a gas grid respectively during the time period t;
• N is a total number of energy conversion devices;
• K is a total number of energy storage devices;
• cd,n and Cs,k are operation and maintenance coefficients of an nth energy conversion device and an kth energy storage device respectively, a value of n is 1 to N, and a value of k is 1 to K;
• Pin n,t, Qch k,t and Qdis k,t are an input power of the nth energy conversion device and charging and discharging power of the kth energy storage device respectively during the time period t;
• ae and ag are respectively CO2 emission coefficients of electricity and natural gas;
• and cc is an unit carbon emission cost.